Shantanu Godbole

37 total papers · 1.3k total citations
23 papers, 297 citations indexed

About

Shantanu Godbole is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Shantanu Godbole has authored 23 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Information Systems and 4 papers in Management Science and Operations Research. Recurrent topics in Shantanu Godbole's work include Text and Document Classification Technologies (11 papers), Web Data Mining and Analysis (4 papers) and Spam and Phishing Detection (3 papers). Shantanu Godbole is often cited by papers focused on Text and Document Classification Technologies (11 papers), Web Data Mining and Analysis (4 papers) and Spam and Phishing Detection (3 papers). Shantanu Godbole collaborates with scholars based in India and United States. Shantanu Godbole's co-authors include Shourya Roy, Sunita Sarawagi, Soumen Chakrabarti, Sumeet Agarwal, Ashish Verma, Indrajit Bhattacharya, Ajay Gupta, Sachindra Joshi, Indrajit Bhattacharya and L. Venkata Subramaniam and has published in prestigious journals such as IBM Journal of Research and Development, ACM Transactions on Knowledge Discovery from Data and DSpace (IIT Bombay).

In The Last Decade

Shantanu Godbole

22 papers receiving 258 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shantanu Godbole 220 114 28 28 23 23 297
Monika Schubert 161 0.7× 145 1.3× 20 0.7× 28 1.0× 80 3.5× 19 286
David Weston 291 1.3× 98 0.9× 21 0.8× 35 1.3× 23 1.0× 14 358
Vaibhav Kumar 236 1.1× 129 1.1× 55 2.0× 21 0.8× 15 0.7× 33 352
Bogdan Walek 116 0.5× 179 1.6× 53 1.9× 18 0.6× 28 1.2× 33 263
Nazeeh Ghatasheh 118 0.5× 105 0.9× 12 0.4× 25 0.9× 29 1.3× 16 266
Indrajit Bhattacharya 213 1.0× 81 0.7× 13 0.5× 20 0.7× 21 0.9× 26 295
Michal Shmueli-Scheuer 159 0.7× 52 0.5× 26 0.9× 18 0.6× 29 1.3× 32 245
Anmol Bhasin 89 0.4× 112 1.0× 27 1.0× 45 1.6× 33 1.4× 17 267
Cheng-Hsiung Weng 124 0.6× 143 1.3× 15 0.5× 21 0.8× 25 1.1× 16 310
Yuchul Jung 156 0.7× 79 0.7× 45 1.6× 14 0.5× 18 0.8× 44 258

Countries citing papers authored by Shantanu Godbole

Since Specialization
Citations

This map shows the geographic impact of Shantanu Godbole's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shantanu Godbole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shantanu Godbole more than expected).

Fields of papers citing papers by Shantanu Godbole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shantanu Godbole. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shantanu Godbole. The network helps show where Shantanu Godbole may publish in the future.

Co-authorship network of co-authors of Shantanu Godbole

This figure shows the co-authorship network connecting the top 25 collaborators of Shantanu Godbole. A scholar is included among the top collaborators of Shantanu Godbole based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shantanu Godbole. Shantanu Godbole is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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