Model and Quantify Internationality of Peer

Archana Mathur
Guide:
Dr Anand M N
Professor ,Dept of Computer Science and Information Systems,
Birla Institute of Technology and Science Pilani (BITS), Hyderabad campus
Co-Guide:
Dr Snehanshu Saha
Professor, Dept of Computer Science & Engineering.
PES Institute of Technology, Bangalore South Campus Bangalore
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Existing metrics and shortcomings
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Literature Survey ( # 3-4)
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Problem Definition (#5)
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Ongoing Work/Methodology( #6-9)
◦ JIS
◦ JIMI
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Deliverables
Facilities Available at Research Centre/Collaborators(#10)
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Waltman L, Nees Jan van Eck, Thed N. van Leeuwen, Martijn S. Visser, Some modifications to
the SNIP journal impact indicator, Journal of Informetrics 7 (2013) 272– 285
Waltman L & Ruiz-Castillo, J Field-normalized citation impact indicators using algorithmically
constructed classification systems of science. Journal of Informetrics, (2015), 9(1), 102-117.
Waltman L. Ahlgren, P., & The correlation between citation-based and expert-based
assessments of publication channels: SNIP and SJR vs. Norwegian quality assessments. Journal
of Informetrics, (2014), 8(4), 985-996.
Neelam Jangid, Snehanshu Saha, Siddhant Gupta, Mukunda Rao J., Ranking of Journals in
Science and Technology Domain: A Novel And Computationally Lightweight Approach, IERI
Procedia 10(2014)-Elsevier,57–62 doi: 10.1016/j.ieri.2014.09.091.
Neelam Jangid, Snehanshu Saha, Archana Mathur, Anand Narasimhamurthy, ”DSRS: Estimation
and Forecasting of Journal Influence in the Science and Technology Domain via a Lightweight
Quantitative Approach”, (2015), WCI’15, Kochi, India, ACM Digital Library,
doi>10.1145/2791405.2791407; http://dl.acm.org/citation.cfm?id=2791405
JIMI,Journal Internationality Modelling Index- An Analytical Investigation“: Snehanshu Saha,
Avantika Dwivedi, Nandita Dwivedi, Gouri Ginde, Archana Mathur; SIoT(2015)
Complete List of references is available at
https://drive.google.com/file/d/0B3H4BIngyWr2cDh2TDNDT1ljVE0/view?usp=sharing
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The Dissertation aims at
Relevance to Computer Science:
◦ Defining and Measuring
Internationality
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Machine Learning
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Clustering
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Semantic Web
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Graph Theory
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Parsing/Crawling
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Convex Optimization
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Partial Differential Equation
◦ Creating a suitable Model
◦ Validating the Model.
◦ Generating granular clusters of
“International” journals and
conferences
◦ Model “Internationality
diffusion”
Deliverables :
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Toolkit – Which will be
available online and will
have open access.
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Data Repository.
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Crawler and Parser.
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Diffusion- using SNIP
Graph
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Exclusive Research and Development lab boasts of :
◦ 16 GB RAM cluster, one server (HPC); 4 TB Storage
◦ Desktop Workstations (4)- 4 GB RAM/500 GB HDD….
◦ Proprietary Software – MATLAB, CloudSim
◦ Fully stacked Dept. Library and access to IEEE/ACM/Elsevier
Digital Library
Dr. A R D Prasad, Indian Statistical Institute, Bangalore.
Dr. B S Dayasagar, Indian Statistical Institute, Bangalore.
Dr. S L Sangam, UGC Emeritus Fellow, Institute of
Scientometrics, Bangalore.
Dr. BP Vani, Institute for Social and Economic Change,
Bangalore.
Neelam Jangid, State University of New Jersey, Rutgers, USA.
Siddhant Gupta, Samsung R&D Labs, Bangalore.