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Johannes Wachs

Personal Details

First Name:Johannes
Middle Name:
Last Name:Wachs
Suffix:
RePEc Short-ID:pwa1059
[This author has chosen not to make the email address public]
http://johanneswachs.com
Terminal Degree: (from RePEc Genealogy)

Affiliation

(50%) Közgazdaság-tudományi Intézet
Közgazdaság- és Regionális Tudományi Kutatóközpont

Budapest, Hungary
http://www.mtakti.hu/
RePEc:edi:iehashu (more details at EDIRC)

(50%) Gazdálkodástudományi Kar
Budapesti Corvinus Egyetem

Budapest, Hungary
http://gazdalkodastudomany.uni-corvinus.hu/
RePEc:edi:gkcorhu (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. S'andor Juh'asz & Johannes Wachs & Jermain Kaminski & C'esar A. Hidalgo, 2024. "The Software Complexity of Nations," Papers 2407.13880, arXiv.org.
  2. Hannah Schuster & Axel Polleres & Amin Anjomshoaa & Johannes Wachs, 2024. "Heat, Health, and Habitats: Analyzing the Intersecting Risks of Climate and Demographic Shifts in Austrian Districts," Papers 2405.00540, arXiv.org.
  3. Gergő Tóth & Johannes Wachs & Riccardo Di Clemente & Ákos Jakobi & Bence Ságvári & János Kertész & Balázs Lengyel, 2021. "Inequality is rising where social network segregation interacts with urban topology," CERS-IE WORKING PAPERS 2116, Institute of Economics, Centre for Economic and Regional Studies.
  4. J'anos Kert'esz & Johannes Wachs, 2020. "Complexity science approach to economic crime," Papers 2008.12364, arXiv.org.
  5. Johannes Wachs & Mih'aly Fazekas & J'anos Kert'esz, 2019. "Corruption Risk in Contracting Markets: A Network Science Perspective," Papers 1909.08664, arXiv.org.
  6. Johannes Wachs & J'anos Kert'esz, 2019. "A network approach to cartel detection in public auction markets," Papers 1906.08667, arXiv.org.
    repec:hal:journl:hal-03994320 is not listed on IDEAS

Articles

  1. Schuster, Hannah & Polleres, Axel & Wachs, Johannes, 2024. "Stress-testing road networks and access to medical care," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
  2. Wachs, Johannes & Nitecki, Mariusz & Schueller, William & Polleres, Axel, 2022. "The Geography of Open Source Software: Evidence from GitHub," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  3. Papoutsoglou, Maria & Rigas, Emmanouil S. & Kapitsaki, Georgia M. & Angelis, Lefteris & Wachs, Johannes, 2022. "Online labour market analytics for the green economy: The case of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
  4. Wachs, Johannes & Vedres, Balázs, 2021. "Does crowdfunding really foster innovation? Evidence from the board game industry," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
  5. Gergő Tóth & Johannes Wachs & Riccardo Clemente & Ákos Jakobi & Bence Ságvári & János Kertész & Balázs Lengyel, 2021. "Inequality is rising where social network segregation interacts with urban topology," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
  6. Mihály Fazekas & Johannes Wachs, 2020. "Corruption and the Network Structure of Public Contracting Markets across Government Change," Politics and Governance, Cogitatio Press, vol. 8(2), pages 153-166.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Gergő Tóth & Johannes Wachs & Riccardo Di Clemente & Ákos Jakobi & Bence Ságvári & János Kertész & Balázs Lengyel, 2021. "Inequality is rising where social network segregation interacts with urban topology," CERS-IE WORKING PAPERS 2116, Institute of Economics, Centre for Economic and Regional Studies.

    Cited by:

    1. Kolkowski, Lukas & Cats, Oded & Dixit, Malvika & Verma, Trivik & Jenelius, Erik & Cebecauer, Matej & Rubensson, Isak Jarlebring, 2023. "Measuring activity-based social segregation using public transport smart card data," Journal of Transport Geography, Elsevier, vol. 110(C).
    2. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.
    3. Stark, Oded & Bielawski, Jakub & Falniowski, Fryderyk, 2023. "Measuring income inequality in social networks," Discussion Papers 338791, University of Bonn, Center for Development Research (ZEF).
    4. Arkangel M. Cordero & Alexander C. Lewis, 2024. "How Does Regional Social Capital Structure the Relationship Between Entrepreneurship, Ethnic Diversity, and Residential Segregation?," Entrepreneurship Theory and Practice, , vol. 48(3), pages 788-825, May.
    5. Sanghamitra Mukherjee, 2021. "A Framework to Measure Regional Disparities in Battery Electric Vehicle Diffusion in Ireland," Working Papers 202119, School of Economics, University College Dublin.
    6. Rüttenauer, Tobias, 2023. "Spatial Data Analysis," SocArXiv mq7te, Center for Open Science.
    7. Tanner Regan & Andreas Diemer & Cheng Keat Tang, 2023. "The Role of Social Connections in the Racial Segregation of US Cities," Working Papers 2023-05, The George Washington University, Institute for International Economic Policy.
    8. Wang, Xi & Pei, Tao & Song, Ci & Chen, Jie & Shu, Hua & Liu, Yaxi & Guo, Sihui & Chen, Xiao, 2023. "How does socioeconomic status influence social relations? A perspective from mobile phone data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    9. Éva Huszti & Fruzsina Albert & Adrienn Csizmady & Ilona Nagy & Beáta Dávid, 2021. "When Spatial Dimension Matters: Comparing Personal Network Characteristics in Different Segregated Areas," Social Inclusion, Cogitatio Press, vol. 9(4), pages 375-387.
    10. Tobias Ruttenauer, 2024. "Spatial Data Analysis," Papers 2402.09895, arXiv.org.

  2. J'anos Kert'esz & Johannes Wachs, 2020. "Complexity science approach to economic crime," Papers 2008.12364, arXiv.org.

    Cited by:

    1. Max Lugo Delgadillo, 2024. "The influence of femicide on criminal behavior: An empirical approach using economic complexity for crime prevention in Mexico/La influencia del feminicidio en el comportamiento criminal: un enfoque e," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 39(1), pages 121-157.

  3. Johannes Wachs & Mih'aly Fazekas & J'anos Kert'esz, 2019. "Corruption Risk in Contracting Markets: A Network Science Perspective," Papers 1909.08664, arXiv.org.

    Cited by:

    1. Longbing Cao, 2021. "AI in Finance: Challenges, Techniques and Opportunities," Papers 2107.09051, arXiv.org.

  4. Johannes Wachs & J'anos Kert'esz, 2019. "A network approach to cartel detection in public auction markets," Papers 1906.08667, arXiv.org.

    Cited by:

    1. Andreas Christos Pliatsidis, 2024. "Analyzing concentration in the Greek public procurement market: a network theory approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 51(2), pages 431-480, June.
    2. Kei Kawai & Jun Nakabayashi & Juan Ortner & Sylvain Chassang, 2023. "Using Bid Rotation and Incumbency to Detect Collusion: A Regression Discontinuity Approach," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 376-403.
    3. Kurdoglu, Berkay & Yucel, Eray, 2022. "A Cointegration-based cartel screen for detecting collusion," MPRA Paper 113888, University Library of Munich, Germany.
    4. Gabrielli, M. Florencia & Willington, Manuel, 2023. "Estimating damages from bidding rings in first-price auctions," Economic Modelling, Elsevier, vol. 126(C).
    5. J'anos Kert'esz & Johannes Wachs, 2020. "Complexity science approach to economic crime," Papers 2008.12364, arXiv.org.
    6. Mihály Fazekas & Johannes Wachs, 2020. "Corruption and the Network Structure of Public Contracting Markets across Government Change," Politics and Governance, Cogitatio Press, vol. 8(2), pages 153-166.
    7. Ribeiro, Haroldo V. & Lopes, Diego D. & Pessa, Arthur A.B. & Martins, Alvaro F. & da Cunha, Bruno R. & Gonçalves, Sebastián & Lenzi, Ervin K. & Hanley, Quentin S. & Perc, Matjaž, 2023. "Deep learning criminal networks," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    8. De Leverano, Adriano, 2023. "Clustered bids in first-price auctions: Collusion or competition?," Economics Letters, Elsevier, vol. 233(C).
    9. Bovin, Andreas & Bos, Iwan, 2023. "Market Shares as Collusive Marker: Evidence from the European Truck Industry," Research Memorandum 011, Maastricht University, Graduate School of Business and Economics (GSBE).
    10. Granlund, David & Rudholm, Niklas, 2023. "Calculating the probability of collusion based on observed price patterns," Umeå Economic Studies 1014, Umeå University, Department of Economics, revised 13 Oct 2023.
    11. Lucas Potin & Rosa Figueiredo & Vincent Labatut & Christine Largeron, 2023. "Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement," Post-Print hal-04131485, HAL.
    12. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for Collusion in Wholesale Electricity Markets: A Review of the Literature," Working Papers 2023-7, University of Alberta, Department of Economics.
    13. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for collusion in wholesale electricity markets: A literature review," Utilities Policy, Elsevier, vol. 85(C).

Articles

  1. Schuster, Hannah & Polleres, Axel & Wachs, Johannes, 2024. "Stress-testing road networks and access to medical care," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).

    Cited by:

    1. Hannah Schuster & Axel Polleres & Amin Anjomshoaa & Johannes Wachs, 2024. "Heat, Health, and Habitats: Analyzing the Intersecting Risks of Climate and Demographic Shifts in Austrian Districts," Papers 2405.00540, arXiv.org.

  2. Wachs, Johannes & Nitecki, Mariusz & Schueller, William & Polleres, Axel, 2022. "The Geography of Open Source Software: Evidence from GitHub," Technological Forecasting and Social Change, Elsevier, vol. 176(C).

    Cited by:

    1. Papoutsoglou, Maria & Rigas, Emmanouil S. & Kapitsaki, Georgia M. & Angelis, Lefteris & Wachs, Johannes, 2022. "Online labour market analytics for the green economy: The case of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    2. S'andor Juh'asz & Johannes Wachs & Jermain Kaminski & C'esar A. Hidalgo, 2024. "The Software Complexity of Nations," Papers 2407.13880, arXiv.org.

  3. Papoutsoglou, Maria & Rigas, Emmanouil S. & Kapitsaki, Georgia M. & Angelis, Lefteris & Wachs, Johannes, 2022. "Online labour market analytics for the green economy: The case of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 177(C).

    Cited by:

    1. Emmanouil S. Rigas & Tatiana Pourliaka & Maria Papoutsoglou & Hariklia Proios, 2023. "Towards a topic modeling approach to semi-automatically detect self-reported stroke symptoms (FAST symptoms) and their correlation with aphasia types," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1321-1336, April.
    2. Yu, Quanqing & Nie, Yuwei & Peng, Simin & Miao, Yifan & Zhai, Chengzhi & Zhang, Runfeng & Han, Jinsong & Zhao, Shuo & Pecht, Michael, 2023. "Evaluation of the safety standards system of power batteries for electric vehicles in China," Applied Energy, Elsevier, vol. 349(C).
    3. S. Di Luozzo & A. Fronzetti Colladon & M. M. Schiraldi, 2024. "Decoding excellence: Mapping the demand for psychological traits of operations and supply chain professionals through text mining," Papers 2403.17546, arXiv.org.
    4. Seyed Mohammad Ali Jafari & Ehsan Chitsaz, 2024. "Nasdaq-100 Companies' Hiring Insights: A Topic-based Classification Approach to the Labor Market," Papers 2409.00658, arXiv.org.

  4. Wachs, Johannes & Vedres, Balázs, 2021. "Does crowdfunding really foster innovation? Evidence from the board game industry," Technological Forecasting and Social Change, Elsevier, vol. 168(C).

    Cited by:

    1. Wang, Yinghuan & Wang, Baolin & Yan, Yan, 2022. "Does network externality affect your project? Evidences from reward-based technology crowdfunding," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    2. Wachs, Johannes & Nitecki, Mariusz & Schueller, William & Polleres, Axel, 2022. "The Geography of Open Source Software: Evidence from GitHub," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    3. Bootz, Jean-Philippe & Michel, Sophie & Pallud, Jessie & Monti, Régine, 2022. "Possible changes of Industry 4.0 in 2030 in the face of uberization: Results of a participatory and systemic foresight study," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    4. Xiaohang Wu & Hasan Dinçer & Serhat Yüksel, 2022. "Analysis of crowdfunding platforms for microgrid project investors via a q-rung orthopair fuzzy hybrid decision-making approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-22, December.
    5. Jiao, Hao & Wang, Lindong & Yang, Jifeng, 2023. "Standing head and shoulders above others? Complementor experience-based design and crowdfunding success on digital platforms," Technovation, Elsevier, vol. 128(C).
    6. Berné-Martínez, J.M. & Ortigosa-Blanch, Arturo & Planells-Artigot, Enrique, 2021. "A semantic analysis of crowdfunding in the digital press," Technological Forecasting and Social Change, Elsevier, vol. 173(C).

  5. Gergő Tóth & Johannes Wachs & Riccardo Clemente & Ákos Jakobi & Bence Ságvári & János Kertész & Balázs Lengyel, 2021. "Inequality is rising where social network segregation interacts with urban topology," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    See citations under working paper version above.
  6. Mihály Fazekas & Johannes Wachs, 2020. "Corruption and the Network Structure of Public Contracting Markets across Government Change," Politics and Governance, Cogitatio Press, vol. 8(2), pages 153-166.

    Cited by:

    1. Pierre-Henri Morand & François Maréchal, 2021. "Are social and environmental clauses a tool for favoritism? Analysis of French public procurement contracts ," Post-Print hal-03418572, HAL.
    2. Maréchal, François & Morand, Pierre-Henri, 2022. "Are social and environmental clauses a tool for favoritism? Analysis of French public procurement contracts," European Journal of Political Economy, Elsevier, vol. 73(C).
    3. Fabrizio Di Mascio & Simona Piattoni, 2020. "Corruption Control in the Developed World," Politics and Governance, Cogitatio Press, vol. 8(2), pages 72-77.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-NET: Network Economics (2) 2019-09-30 2021-05-10. Author is listed
  2. NEP-AGE: Economics of Ageing (1) 2024-06-10
  3. NEP-AIN: Artificial Intelligence (1) 2024-09-02
  4. NEP-CDM: Collective Decision-Making (1) 2019-06-17
  5. NEP-COM: Industrial Competition (1) 2019-06-17
  6. NEP-CTA: Contract Theory and Applications (1) 2019-06-17
  7. NEP-DES: Economic Design (1) 2019-06-17
  8. NEP-ENV: Environmental Economics (1) 2024-06-10
  9. NEP-HEA: Health Economics (1) 2024-06-10
  10. NEP-IND: Industrial Organization (1) 2019-06-17
  11. NEP-RMG: Risk Management (1) 2019-09-30
  12. NEP-SOC: Social Norms and Social Capital (1) 2021-05-10
  13. NEP-URE: Urban and Real Estate Economics (1) 2021-05-10

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