IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v110y2017i1d10.1007_s11192-016-2162-4.html
   My bibliography  Save this article

What publications metadata tell us about the evolution of a scientific community: the case of the Brazilian human–computer interaction conference series

Author

Listed:
  • Simone Diniz Junqueira Barbosa

    (PUC-Rio)

  • Milene Selbach Silveira

    (PUCRS)

  • Isabela Gasparini

    (Centro de Ciências Tecnológicas – CCT)

Abstract

Human–computer interaction (HCI) is a research field which engages different disciplines, interest groups and communities, and which has emerged in different countries at different times. To understand how the HCI research community has evolved in Brazil, this paper applies data and visual analytics to its main conference series, the Brazilian Symposium on Human Factors in Computing Systems, henceforth IHC. We have explored the metadata of all 340 full papers published in the 14 editions of IHC. Our goal was to investigate the evolution of the Brazilian HCI community so we can raise the level of “self-knowledge” and thus discuss strategies that can further help develop this research community. From our analysis, we could understand more deeply the authorship profile of our community and how it has changed over time, the co-authorship networks evolution, the prominent institutions and states, the reference profile and the research topics over time. We hope that this paper will contribute to inspire other scientific communities to analyze themselves, and encourage their own discussions.

Suggested Citation

  • Simone Diniz Junqueira Barbosa & Milene Selbach Silveira & Isabela Gasparini, 2017. "What publications metadata tell us about the evolution of a scientific community: the case of the Brazilian human–computer interaction conference series," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 275-300, January.
  • Handle: RePEc:spr:scient:v:110:y:2017:i:1:d:10.1007_s11192-016-2162-4
    DOI: 10.1007/s11192-016-2162-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-016-2162-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-016-2162-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Christoph Bartneck, 2011. "The end of the beginning: a reflection on the first five years of the HRI conference," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 487-504, February.
    2. Denis Arruda & Fábio Bezerra & Vânia Almeida Neris & Patricia Rocha De Toro & Jacques Wainera, 2009. "Brazilian computer science research: Gender and regional distributions," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 651-665, June.
    3. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    4. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Danielle H. Lee, 2019. "Predictive power of conference-related factors on citation rates of conference papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 281-304, January.
    2. Said Fathalla & Sahar Vahdati & Christoph Lange & Sören Auer, 2020. "Scholarly event characteristics in four fields of science: a metrics-based analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 677-705, May.
    3. Xiancheng Li & Wenge Rong & Haoran Shi & Jie Tang & Zhang Xiong, 2018. "The impact of conference ranking systems in computer science: a comparative regression analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 879-907, August.
    4. Arthur Lackner & Said Fathalla & Mojtaba Nayyeri & Andreas Behrend & Rainer Manthey & Sören Auer & Jens Lehmann & Sahar Vahdati, 2021. "Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 8129-8151, September.
    5. Kurubaran Ganasegeran & Chee Peng Hor & Mohd Fadzly Amar Jamil & Purnima Devi Suppiah & Juliana Mohd Noor & Norshahida Abdul Hamid & Deik Roy Chuan & Mohd Rizal Abdul Manaf & Alan Swee Hock Ch’ng & Ir, 2021. "Mapping the Scientific Landscape of Diabetes Research in Malaysia (2000–2018): A Systematic Scientometrics Study," IJERPH, MDPI, vol. 18(1), pages 1-20, January.
    6. Frode Eika Sandnes, 2021. "A bibliometric study of human–computer interaction research activity in the Nordic-Baltic Eight countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4733-4767, June.

    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.
    1. Frode Eika Sandnes, 2021. "A bibliometric study of human–computer interaction research activity in the Nordic-Baltic Eight countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4733-4767, June.
    2. António Correia & Hugo Paredes & Benjamim Fonseca, 2018. "Scientometric analysis of scientific publications in CSCW," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 31-89, January.
    3. Rahman, Shaikh Moksadur, 2020. "Relationship between Job Satisfaction and Turnover Intention: Evidence from Bangladesh," Asian Business Review, Asian Business Consortium, vol. 10(2), pages 99-108.
    4. Naveena Prakasam & Louisa Huxtable-Thomas, 2021. "Reddit: Affordances as an Enabler for Shifting Loyalties," Information Systems Frontiers, Springer, vol. 23(3), pages 723-751, June.
    5. Guan-Can Yang & Gang Li & Chun-Ya Li & Yun-Hua Zhao & Jing Zhang & Tong Liu & Dar-Zen Chen & Mu-Hsuan Huang, 2015. "Using the comprehensive patent citation network (CPC) to evaluate patent value," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1319-1346, December.
    6. Valeriy Makarov & Albert Bakhtizin, 2014. "The Estimation Of The Regions’ Efficiency Of The Russian Federation Including The Intellectual Capital, The Characteristics Of Readiness For Innovation, Level Of Well-Being, And Quality Of Life," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 9-30.
    7. Kristine Edgar Danielyan & Samvel Grigoriy Chailyan, 2019. "Delineation of Effectors Impact on The Human Brain Derived Phosphoribosylpyrophosphate Synthetase-1 Activity," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 24(1), pages 17918-17926, December.
    8. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    9. Chuan Wang & Yupeng Liu & Wen Hou & Chao Yu & Guorong Wang & Yuyan Zheng, 2021. "Reliability and availability modeling of Subsea Autonomous High Integrity Pressure Protection System with partial stroke test by Dynamic Bayesian," Journal of Risk and Reliability, , vol. 235(2), pages 268-281, April.
    10. Filippo Corsini & Rafael Laurenti & Franziska Meinherz & Francesco Paolo Appio & Luca Mora, 2019. "The Advent of Practice Theories in Research on Sustainable Consumption: Past, Current and Future Directions of the Field," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    11. Pamela E. Sandstrom, 2001. "Scholarly communication as a socioecological system," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(3), pages 573-605, July.
    12. Sana Sadiq & Khadija Anasse & Najib Slimani, 2022. "The impact of mobile phones on high school students: connecting the research dots," Technium Social Sciences Journal, Technium Science, vol. 30(1), pages 252-270, April.
    13. Jascha-Alexander Koch & Michael Siering, 2019. "The recipe of successful crowdfunding campaigns," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 661-679, December.
    14. Martins, José & Costa, Catarina & Oliveira, Tiago & Gonçalves, Ramiro & Branco, Frederico, 2019. "How smartphone advertising influences consumers' purchase intention," Journal of Business Research, Elsevier, vol. 94(C), pages 378-387.
    15. Wu, Bing & Yip, Tsz Leung & Yan, Xinping & Guedes Soares, C., 2022. "Review of techniques and challenges of human and organizational factors analysis in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    16. Serhat Burmaoglu & Ozcan Saritas, 2019. "An evolutionary analysis of the innovation policy domain: Is there a paradigm shift?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 823-847, March.
    17. Andreas Bjurström & Merritt Polk, 2011. "Climate change and interdisciplinarity: a co-citation analysis of IPCC Third Assessment Report," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 525-550, June.
    18. Zarei, Esmaeil & Khan, Faisal & Abbassi, Rouzbeh, 2021. "Importance of human reliability in process operation: A critical analysis," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    19. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    20. Géraldine Boué & Enda Cummins & Sandrine Guillou & Jean‐Philippe Antignac & Bruno Le Bizec & Jeanne‐Marie Membré, 2017. "Development and Application of a Probabilistic Risk–Benefit Assessment Model for Infant Feeding Integrating Microbiological, Nutritional, and Chemical Components," Risk Analysis, John Wiley & Sons, vol. 37(12), pages 2360-2388, December.

    More about this item

    Keywords

    Bibliometrics; Scientific production history; Evolution of scientific community; HCI research in Brazil; Data and visual analytics;
    All these keywords.

    JEL classification:

    • Y10 - Miscellaneous Categories - - Data: Tables and Charts - - - Data: Tables and Charts
    • Y91 - Miscellaneous Categories - - Other - - - Pictures and Maps
    • Y80 - Miscellaneous Categories - - Related Disciplines - - - Related Disciplines

    Statistics

    Access and download statistics

    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:spr:scient:v:110:y:2017:i:1:d:10.1007_s11192-016-2162-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.