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

 Existing metrics and shortcomings  Literature Survey ( # 3-4)  Problem Definition (#5)  Ongoing Work/Methodology( #6-9) ◦ JIS ◦ JIMI ◦ Deliverables  Facilities Available at Research Centre/Collaborators(#10)

 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),  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),  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: /j.ieri  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> / ;  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

 The Dissertation aims at ◦ Defining and Measuring Internationality ◦ Creating a suitable Model ◦ Validating the Model. ◦ Generating granular clusters of “International” journals and conferences ◦ Model “Internationality diffusion” Relevance to Computer Science: Machine Learning Clustering Semantic Web Graph Theory Parsing/Crawling Convex Optimization Partial Differential Equation

Deliverables :  Toolkit – Which will be available online and will have open access.  Data Repository.  Crawler and Parser.  Diffusion- using SNIP Graph

 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.