Shantanu Godbole
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Computer Networks and Communications
- Co-authors
- Shourya RoySunita SarawagiSoumen ChakrabartiSumeet AgarwalAshish VermaIndrajit BhattacharyaAjay GuptaSachindra Joshi
- Topics
- Text and Document Classification Technologies (11 papers)Web Data Mining and Analysis (4 papers)Spam and Phishing Detection (3 papers)
- Journals
- IBM Journal of Research and DevelopmentACM Transactions on Knowledge Discovery from DataProceedings - International Conference on Data Engineering
- Partner nations
- IndiaUnited States
In The Last Decade
Shantanu Godbole
22 papers receiving 258 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 220
- Information Systems 114
- Computer Vision and Pattern Recognition 28
- Management Science and Operations Research 28
- Computer Networks and Communications 23
Countries citing papers authored by Shantanu Godbole
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | Toxic Language Detection using Robust Filters | 1 |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 22 | |
| 8 | 19 | |
| 9 | Learning Decision Lists with Known Rules for Text Mining | 3 |
| 10 | 11 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 24 | |
| 14 | 59 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 30 | |
| 18 | 38 | |
| 19 | Exploiting confusion matrices for automatic generation of topic hierarchies and scaling up multi-way classifiers | 18 |
| 20 | Document Classification as an Internet service: Choosing the best classifier | 1 |
About Shantanu Godbole
Shantanu Godbole is a scholar working on Computer Science Applications, Artificial Intelligence and Management Science and Operations Research, having authored 23 papers that have together received 297 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (11 papers), Web Data Mining and Analysis (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Artificial Intelligence (220 citations), Information Systems (114 citations) and Management Science and Operations Research (28 citations). Shantanu Godbole has collaborated with scholars based in India and United States. Frequent co-authors include Shourya Roy, Sunita Sarawagi, Soumen Chakrabarti, Sumeet Agarwal, Ashish Verma, Indrajit Bhattacharya, Ajay Gupta, Sachindra Joshi, Mukesh Mohania and Shajith Ikbal. Their work appears in journals such as IBM Journal of Research and Development, ACM Transactions on Knowledge Discovery from Data and Proceedings - International Conference on Data Engineering.
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.