Scientometrics in the Chacko-Warnow Collaboration


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INTRODUCTION

Professors Warnow and Chacko collaborate on the following problems:
  1. Understanding the organization of scientific communities, and especially emerging trends in biomedical research
  2. Developing novel clustering methods that enable discovery from citation networks
The work is supported by funding from the Grainger Foundation (to TW) and by the Grainger College of Engineering (to GC). Some of this work was also supported by NETE.

PEOPLE


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PUBLICATIONS

Copyright Notice: The documents accessible through these links are included by the author as a means to ensure convenient electronic dissemination of technical work on a non-commercial basis. Copyright and all rights therein are maintained by the copyright holders (the authors or the publishers), notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's and publisher's copyright. In particular, these works may not be re-posted without permission of the copyright holders.


1 J. Bradley, S. Devarakonda, A. Davey, D. Korobskiy, S. Liu, D. Lakhdar-Hamina,T. Warnow, and G. Chacko (2020). Co-citations in context: disciplinary heterogeneity is relevant. Quantitative Science Sciences (MIT Press), 1(1), 264--276, https://doi.org/10.1162/qss_a_00007. (PDF)
2 S. Chandrasekharan, M. Zaka, S. Gallo, W. Zhao, D. Korobskiy, T. Warnow, & G. Chacko (2020). Finding Scientific Communities in Citation Graphs. Quantitative Science Studies (MIT Press), 2(1), Dec 3, 2020. (HTML)
3 S. Devarakonda, D. Korobskiy, T. Warnow, and G. Chacko (2020). Viewing computer science through citation analysis: Salton and Bergmark Redux. Scientometrics (2020). https://doi.org/10.1007/s11192-020-03624-0. (HTML)
4 S. Devarakonda, J. Bradley, D. Korobskiy, T. Warnow, and G. Chacko (2020). Frequently Co-cited Publications: Features and Kinetics, Quantitative Science Studies (MIT Press), 1(1), 264-276, doi:10.1162/qss_a_00075 (HTML)
5 W. Zhao, D. Korobskiy, and G. Chacko (2021). Delayed Recognition: A Co-Citation Perspective. Front. Res. Metr. Anal., 19 February 2021 | https://doi.org/10.3389/frma.2020.577131 (HTML)
6 W Zhao, D Korobskiy, S Chandrasekharan, KM Merz Jr, G Chacko (2020). Converging Interests: Chemoinformatics, History, and Bibliometrics Journal of Chemical Information and Modeling 60 (12), 5870-5872 (HTML)
7 L Bornmann, S Devarakonda, A Tekles, G Chacko (2020). Are disruption index indicators convergently valid? The comparison of several indicator variants with assessments by peers. Quantitative Science Studies 1 (3), 1242-1259 (HTML)
8 L Bornmann, S Devarakonda, A Tekles, G Chacko (2020). Disruptive papers published in Scientometrics: meaningful results by using an improved variant of the disruption index originally proposed by Wu, Wang, and Evans (2019) Scientometrics, 1-7 (HTML)
9 S Keserci, E Livingston, L Wan, AR Pico, G Chacko (2017). Research synergy and drug development: Bright stars in neighboring constellations. Heliyon 3 (11), e00442 (HTML)
10 KW Boyack, MC Chen, G Chacko (2014). Characterization of the Peer Review Network at the Center for Scientific Review, National Institutes of Health. PLOS One 9(8): e104244. (HTML)

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