Abstract
The author’s productivity and impact in a research paper mainly deal with the order of the positions in their publications. However, it is actually very difficult to measure the author’s contribution on a particular article based on the author position. In this paper, we propose three authorial indices for measuring scientific authorships. Modified authorship index (MAI) is proposed as a measure for analysing the author’s overall contribution towards a scientific publication. MAI accommodates the author position information within a scientific publication, thereby generating position-based contribution score for every publication of the respective author. Further, the proposed Author Contribution to Article Visibility (\( ACAV_{MAI} \)) score accommodates the role of citations in creating sufficient visibility for the respective publication. In addition, this paper also proposes consolidated authorship index (AIc) for each author which is derived from the author’s \( ACAV_{MAI} \). The proposed indices are compared with the citation count, h-index and i10-index across the authors of “Journal of Informetrics”, and the results are tabulated.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adler, B. T., de Alfaro, L., Pye, I., & Raman, V. (2008, September). Measuring author contributions to the Wikipedia. In the Proceedings of the 4th International Symposium on Wikis (p. 15).
Ale Ebrahim .N, Salehi .H, Embi .M .A, Habibi .F, Gholizadeh .H and Motahar .S .M (2014). Visibility and citation impact. International Education Studies, 7(4), 120–125.
Bornmann, L., & Marx, W. (2012). HistCite analysis of papers constituting the h index research front. Journal of Informetrics, 6(2), 285–288.
Brand, A., Allen, L., Altman, M., Hlava, M., & Scott, J. (2015). Beyond authorship: attribution, contribution, collaboration, and credit. Learned Publishing, 28(2), 151–155.
Carmen Galvez, Félix de Moya Anegón, Victor HerreroSolana: Term conflation methods in information retrieval: Non-linguistic and linguistic approaches. Journal of Documentation 61(4): 520–547 (2005).
Clement .T .P, “Authorship Matrix: A Rational Approach to Quantify Individual Contributions and Responsibilities in Multi-Author Scientific Articles”, Journal of Science and Engineering Ethics, 20:2, pp. 345–361, 2014.
Deepika J. and Mahalakshmi G.S., Towards Knowledge based Impact Metrics for Open Source Research Publications, International Journal on Internet and Distributed Computing Systems, Vol. 2, No. 1, 2012, pp. 102–108.
Egghe .L, Guns .R and Rousseau .R (2013). Measuring Co-authors Contribution to an Articles Visibility, Journal of Scientometrics, 95(1), 55–67.
Félix de Moya Anegón, Victor HerreroSolana: Worldwide topology of the scientific subject profile: a macro approach on the country level. CoRR abs/1005.2223 (2010).
G. MuthuSelvi, G.S. Mahalakshmi and S. Sendhilkumar, “An Investigation on Collaboration Behavior of highly Cited Authors in Journal of Informetrics (2007–2016)”, Journal of Computational and Theoretical Nanoscience, 3803.
G. MuthuSelvi, G.S. Mahalakshmi and S. Sendhilkumar, “Author attribution using Stylometry for Multi-author Scientific Publications”, Advances in Natural and Applied Sciences, 2016 June, 10(8): Pages: 42–47.
G. S. Mahalakshmi, and S. Sendhilkumar: Optimizing Research Progress Trajectories with Semantic Power Graphs. Springer 2013 Lecture Notes in Computer Science ISBN 978-3-642-45061-7, PReMI 2013: 708–713.
G.S. Mahalakshmi, G. MuthuSelvi and S. Sendhilkumar, “A Bibliometric Analysis of Journal of Informetrics – A Decade Study”, International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM’17), organized by Department of Computer Science and Engineering, University College of Engineering, Tindivanam, 2017.
G.S. Mahalakshmi, G. MuthuSelvi and S. Sendhilkumar, “Authorship Analysis of JOI Articles (2007–2016)”, International Journal of Control Theory and Applications, 9(10), 2016, pp. 1–11 ISSN: 0974-5572.
G.S. Mahalakshmi, G. MuthuSelvi and S. Sendhilkumar, “Generation of Author Topic Models using LDA”, International Conference on Intelligent Computing and Control Systems (ICICCS 2017) is being organized on 15–16, June 2017 by The Vaigai College Engineering (VCE), Madurai.
G.S. Mahalakshmi, G. MuthuSelvi and S. Sendhilkumar, “Hierarchical Modeling Approaches for Generating Author Blueprints”, International Conference on Smart Innovations in Communications and Computational Sciences (ICSICCS-2017) organizing by North West Group of Institutions, Moga, Punjab, India during 23–24 June 2017.
G.S. Mahalakshmi, G. MuthuSelvi and S. Sendhilkumar, “Measuring author contributions via LDA”, 2nd International Conference on Advanced Computing and Intelligent Engineering, Central University of Rajasthan, Ajmer, India. (Under Review).
G.S. Mahalakshmi, G. MuthuSelvi, and S. Sendhilkumar, “Gibbs Sampled Hierarchical Dirichlet Mixture Model based Approach for Clustering Scientific Articles”, Pattern Recognition & Machine Intelligence (PREMI-2017) Kolkata 2017., (Under Review).
G.S. Mahalakshmi, S. Sendhilkumar, and S. Dilip Sam, Refining Research Citations through Context Analysis, Lecture notes on Intelligent Informatics, Springer-Verlag, Proceedings of the International Symposium on Intelligent Informatics ISI’12, Chennai, India, pp. 65–71, August 2012.
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National academy of Sciences of the United States of America, 16569–16572.
Hirsch, J. E. (2010). An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship. Scientometrics, 85(3), 741–754.
Kaushik, R. (2013). The “Authorship Index”-a simple way to measure an author’s contribution to literature. International Journal of Research in Medical Sciences, 1(1), 1–3.
Lutz Bornmann, Félix de Moya Anegón: What proportion of excellent papers makes an institution one of the best worldwide? Specifying thresholds for the interpretation of the results of the SCImago Institutions Ranking and the Leiden Ranking. JASIST 65(4): 732–736 (2014).
Lutz Bornmann, Felix Moya Anegón, and RüdigerMutz. "Do universities or research institutions with a specific subject profile have an advantage or a disadvantage in institutional rankings?" Journal of the American Society for Information Science and Technology 64, no. 11 (2013): 2310–2316.
Lutz Bornmann, Werner Marx, Andreas Barth: The Normalization of Citation Counts Based on Classification Systems. Publications 1(2): 78–86 (2013).
Mahalakshmi G.S., Dilip Sam S. and Sendhilkumar S., Establishing Knowledge Networks via Analysis of Research Abstracts, Special Issue of Journal of Universal Computer Science (JUCS) on “Advances on Social Network Applications”, Vol. 18, No. 8 (2012), pp. 993–1021.
McCarty, C., Jawitz, J. W., Hopkins, A., & Goldman, A. (2013). Predicting author h-index using characteristics of the co-author network. Scientometrics, 96(2), 467–483.
Robin Haunschild, Andreas Barth, Werner Marx: Evolution of DFT studies in view of a scientometric perspective. J. Cheminformatics 8(1): 52:1–52:12 (2016).
Sendhilkumar S., Dilipsam and Mahalakshmi G.S. Enhancement of Co-authorship networks with content similarity information, International Conference on Advances in Computing, Communications and Informatics, ICACCI, 2012, ACM digital library, pp. 1225–1228.
Siva R, Mahalakshmi G.S. and S. Sendhilkumar, 1-hop Greedy cite order plagiarism detection, International Journal of Control theory and applications, Vol. 10 (8), pp. 585–588.
Vasantha Kumar, S. Sendhilkumar, and G.S. Mahalakshmi A Power-graph based approach to Detection of Research Communities from Co-Authorship Networks, Journal of Computational Theoretical Nanoscience, 2017. (to appear).
Vasantha Kumar, S. Sendhilkumar, and G.S. Mahalakshmi, Author similarity identification using citation context and proximity, International Journal of Control theory and applications, 2017 (to appear).
Walters, G. D. (2016). Adding authorship order to the quantity and quality dimensions of scholarly productivity: evidence from group-and individual-level analyses. Scientometrics, 106(2), 769–785.
Warrender .J .M. (2016) “A Simple Framework for Evaluating Authorial Contributions for Scientific Publications”, Journal of Science and engineering ethics, 22(5), 1419–1430.
Werner Marx, Lutz Bornmann: Change of perspective: bibliometrics from the point of view of cited references - a literature overview on approaches to the evaluation of cited references in bibliometrics. Scientometrics 109(2): 1397–1415 (2016).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mahalakshmi, G.S., Muthu Selvi, G., Sendhilkumar, S. (2019). Measuring Authorial Indices from the Eye of Co-author(s). In: Panigrahi, B., Trivedi, M., Mishra, K., Tiwari, S., Singh, P. (eds) Smart Innovations in Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 669. Springer, Singapore. https://doi.org/10.1007/978-981-10-8968-8_36
Download citation
DOI: https://doi.org/10.1007/978-981-10-8968-8_36
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-8967-1
Online ISBN: 978-981-10-8968-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)