High-impact and transformative science (HITS) metrics: Definition, exemplification, and comparison
Author
Abstract
Suggested Citation
DOI: 10.1371/journal.pone.0200597
Download full text from publisher
References listed on IDEAS
- Hanning Guo & Scott Weingart & Katy Börner, 2011. "Mixed-indicators model for identifying emerging research areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 421-435, October.
- Wang, Jian & Veugelers, Reinhilde & Stephan, Paula, 2017.
"Bias against novelty in science: A cautionary tale for users of bibliometric indicators,"
Research Policy, Elsevier, vol. 46(8), pages 1416-1436.
- Jian Wang & Reinhilde Veugelers & Paula Stephan, 2015. "Bias against novelty in science: A cautionary tale for users of bibliometric indicators," Working Papers of Department of Management, Strategy and Innovation, Leuven 520305, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
- Veugelers, Reinhilde & wang, jian & Stephan, Paula, 2016. "Bias against Novelty in Science: A Cautionary Tale for Users of Bibliometric Indicators," CEPR Discussion Papers 11228, C.E.P.R. Discussion Papers.
- Jian Wang & Reinhilde Veugelers & Paula Stephan, 2016. "Bias against Novelty in Science: A Cautionary Tale for Users of Bibliometric Indicators," NBER Working Papers 22180, National Bureau of Economic Research, Inc.
- Ufuk Akcigit & Murat Celik & Daron Acemoglu, 2014.
"Young, Restless and Creative: Openness to Disruption and Creative Innovations,"
2014 Meeting Papers
377, Society for Economic Dynamics.
- Daron Acemoglu & Ufuk Akcigit & Murat Alp Celik, 2014. "Young, Restless and Creative: Openness to Disruption and Creative Innovations," PIER Working Paper Archive 14-004, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Daron Acemoglu & Ufuk Akcigit & Murat Alp Celik, 2014. "Young, Restless and Creative: Openness to Disruption and Creative Innovations," NBER Working Papers 19894, National Bureau of Economic Research, Inc.
- Bettencourt, Luís M.A. & Kaiser, David I. & Kaur, Jasleen, 2009. "Scientific discovery and topological transitions in collaboration networks," Journal of Informetrics, Elsevier, vol. 3(3), pages 210-221.
- Johan Bollen & Herbert Van de Sompel & Aric Hagberg & Ryan Chute, 2009. "A Principal Component Analysis of 39 Scientific Impact Measures," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-11, June.
- Katy Börner & Adam H. Simpson & Andreas Bueckle & Robert L. Goldstone, 2018. "Science map metaphors: a comparison of network versus hexmap-based visualizations," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 409-426, February.
- B Ian Hutchins & Xin Yuan & James M Anderson & George M Santangelo, 2016. "Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level," PLOS Biology, Public Library of Science, vol. 14(9), pages 1-25, September.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Joseph Staudt, 2020.
"Mandating access: assessing the NIH’s public access policy,"
Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 35(102), pages 269-304.
- Staudt, Joseph, 2017. "Mandating Access: Assessing the NIH's Public Access Policy," MPRA Paper 82981, University Library of Munich, Germany.
- Wei Cheng & Bruce A. Weinberg, 2021. "Marginalized and Overlooked? Minoritized Groups and the Adoption of New Scientific Ideas," NBER Working Papers 29179, National Bureau of Economic Research, Inc.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Peter van den Besselaar & Ulf Sandström, 2019. "Measuring researcher independence using bibliometric data: A proposal for a new performance indicator," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-20, March.
- Jay Bhattacharya & Mikko Packalen, 2020. "Stagnation and Scientific Incentives," NBER Working Papers 26752, National Bureau of Economic Research, Inc.
- Min, Chao & Bu, Yi & Sun, Jianjun, 2021. "Predicting scientific breakthroughs based on knowledge structure variations," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
- Latefa Ali Dardas & Malik Sallam & Amanda Woodward & Nadia Sweis & Narjes Sweis & Faleh A. Sawair, 2023. "Evaluating Research Impact Based on Semantic Scholar Highly Influential Citations, Total Citations, and Altmetric Attention Scores: The Quest for Refined Measures Remains Illusive," Publications, MDPI, vol. 11(1), pages 1-16, January.
- Rodríguez-Navarro, Alonso & Brito, Ricardo, 2024. "Rank analysis of most cited publications, a new approach for research assessments," Journal of Informetrics, Elsevier, vol. 18(2).
- Tahamtan, Iman & Bornmann, Lutz, 2018. "Creativity in science and the link to cited references: Is the creative potential of papers reflected in their cited references?," Journal of Informetrics, Elsevier, vol. 12(3), pages 906-930.
- Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015.
"What is an emerging technology?,"
Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
- Daniele Rotolo & Diana Hicks & Ben Martin, 2015. "What is an emerging technology?," SPRU Working Paper Series 2015-06, SPRU - Science Policy Research Unit, University of Sussex Business School.
- Gaetan de Rassenfosse & Kyle Higham & Orion Penner, 2022. "Scientific rewards for biomedical specialization are large and persistent," Working Papers 19, Chair of Science, Technology, and Innovation Policy.
- Jiang, Zhuoren & Lin, Tianqianjin & Huang, Cui, 2023. "Deep representation learning of scientific paper reveals its potential scholarly impact," Journal of Informetrics, Elsevier, vol. 17(1).
- Small, Henry & Boyack, Kevin W. & Klavans, Richard, 2014. "Identifying emerging topics in science and technology," Research Policy, Elsevier, vol. 43(8), pages 1450-1467.
- Winnink, J.J. & Tijssen, Robert J.W. & van Raan, A.F.J., 2019. "Searching for new breakthroughs in science: How effective are computerised detection algorithms?," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 673-686.
- Jacob Wood & Gohar Feroz Khan, 2015. "International trade negotiation analysis: network and semantic knowledge infrastructure," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 537-556, October.
- Zhao, Star X. & Rousseau, Ronald & Ye, Fred Y., 2011. "h-Degree as a basic measure in weighted networks," Journal of Informetrics, Elsevier, vol. 5(4), pages 668-677.
- Kaur, Jasleen & Radicchi, Filippo & Menczer, Filippo, 2013. "Universality of scholarly impact metrics," Journal of Informetrics, Elsevier, vol. 7(4), pages 924-932.
- Alex Bell & Raj Chetty & Xavier Jaravel & Neviana Petkova & John Van Reenen, 2019.
"Who Becomes an Inventor in America? The Importance of Exposure to Innovation,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 647-713.
- Alex Bell & Raj Chetty & Xavier Jaravel & Neviana Petkova & John Van Reenen, 2017. "Who becomes an inventor in America? The importance of exposure to innovation," CEP Discussion Papers dp1519, Centre for Economic Performance, LSE.
- Bell, Alex & Chetty, Raj & Jaravel, Xavier & Petkova, Neviana & Van Reenen, John, 2019. "Who becomes an inventor in America? The importance of exposure to innovation," LSE Research Online Documents on Economics 101434, London School of Economics and Political Science, LSE Library.
- Alexander M. Bell & Raj Chetty & Xavier Jaravel & Neviana Petkova & John Van Reenen, 2017. "Who Becomes an Inventor in America? The Importance of Exposure to Innovation," NBER Working Papers 24062, National Bureau of Economic Research, Inc.
- Van Reenen, John & Bell, Alexander & Chetty, Raj & Jaravel, Xavier & Petkova, Neviana, 2017. "Who Becomes an Inventor in America? The Importance of Exposure to Innovation," CEPR Discussion Papers 12544, C.E.P.R. Discussion Papers.
- Bell, Alex & Chetty, Raj & Jaravel, Xavier & Petkova, Neviana & Van Reenen, John, 2017. "Who becomes an inventor in America? The importance of exposure to innovation," LSE Research Online Documents on Economics 86616, London School of Economics and Political Science, LSE Library.
- Gao, Qiang & Liang, Zhentao & Wang, Ping & Hou, Jingrui & Chen, Xiuxiu & Liu, Manman, 2021. "Potential index: Revealing the future impact of research topics based on current knowledge networks," Journal of Informetrics, Elsevier, vol. 15(3).
- Çağatay Bircan & Ralph De Haas, 2020.
"The Limits of Lending? Banks and Technology Adoption across Russia,"
The Review of Financial Studies, Society for Financial Studies, vol. 33(2), pages 536-609.
- Bircan, Cagatay & de Haas, R., 2015. "The Limits of Lending : Banks and Technology Adoption Across Russia," Other publications TiSEM 8bd438b2-0e15-4fed-afc4-d, Tilburg University, School of Economics and Management.
- Çagatay Bircan & Ralph de Haas, 2015. "The Limits of Lending: Banks and Technology Adoption across Russia," CESifo Working Paper Series 5461, CESifo.
- Bircan, Cagatay & de Haas, R., 2015. "The Limits of Lending : Banks and Technology Adoption Across Russia," Discussion Paper 2015-011, Tilburg University, Center for Economic Research.
- Bircan, Cagatay & de Haas, R., 2015. "The Limits of Lending : Banks and Technology Adoption Across Russia," Other publications TiSEM d7a436de-83f6-4551-aaf9-0, Tilburg University, School of Economics and Management.
- De Haas, Ralph & Bircan, Cagatay, 2019. "The Limits of Lending? Banks and Technology Adoption across Russia," CEPR Discussion Papers 13663, C.E.P.R. Discussion Papers.
- Corsini, Alberto & Pezzoni, Michele, 2023.
"Does grant funding foster research impact? Evidence from France,"
Journal of Informetrics, Elsevier, vol. 17(4).
- Alberto Corsini & Michele Pezzoni, 2022. "Does Grant Funding Foster Research Impact? Evidence from France," GREDEG Working Papers 2022-37, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
- Citron, Daniel T. & Way, Samuel F., 2018. "Network assembly of scientific communities of varying size and specificity," Journal of Informetrics, Elsevier, vol. 12(1), pages 181-190.
- Guoqiang Liang & Ying Lou & Haiyan Hou, 2022. "Revisiting the disruptive index: evidence from the Nobel Prize-winning articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5721-5730, October.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0200597. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.