Sharvari Govilkar
- Artificial Intelligence top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Safety Research
- Co-authors
- Pravin S. ShindeSagar Kulkarni
- Topics
- Natural Language Processing Techniques (15 papers)Topic Modeling (13 papers)Advanced Text Analysis Techniques (9 papers)
- Journals
- Social Network Analysis and MiningInternational Journal of Recent Technology and Engineering (IJRTE)International Journal of Information Technology and Computer Science
- Partner nations
- India
In The Last Decade
Sharvari Govilkar
30 papers receiving 212 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 224
- Information Systems 49
- Computer Vision and Pattern Recognition 17
- Management Science and Operations Research 17
- Safety Research 10
Countries citing papers authored by Sharvari Govilkar
This map shows the geographic impact of Sharvari Govilkar'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 Sharvari Govilkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharvari Govilkar more than expected).
Fields of papers citing papers by Sharvari Govilkar
This network shows the impact of papers produced by Sharvari Govilkar. 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 Sharvari Govilkar. The network helps show where Sharvari Govilkar may publish in the future.
Co-authorship network of co-authors of Sharvari Govilkar
This figure shows the co-authorship network connecting the top 25 collaborators of Sharvari Govilkar. A scholar is included among the top collaborators of Sharvari Govilkar 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 Sharvari Govilkar. Sharvari Govilkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | SURVEY OF VARIOUS TECHNIQUES FOR INSINCERE QUESTION CLASSIFICATION | 1 |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 9 | |
| 14 | 12 | |
| 15 | 1 | |
| 16 | Survey Of Machine Translation Development For Indian Regional Languages | 2 |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 12 | |
| 20 | 3 |
About Sharvari Govilkar
Sharvari Govilkar is a scholar working on Artificial Intelligence, Health Informatics and Information Systems, having authored 35 papers that have together received 250 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Topic Modeling (13 papers) and Advanced Text Analysis Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (224 citations), Health Informatics (6 citations) and Information Systems (49 citations). Sharvari Govilkar has collaborated with scholars based in India. Frequent co-authors include Pravin S. Shinde and Sagar Kulkarni. Their work appears in journals such as Social Network Analysis and Mining, International Journal of Recent Technology and Engineering (IJRTE) and International Journal of Information Technology and Computer Science.
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.