Saroj Kaushik
- Artificial Intelligence top 10%
- Information Systems top 10%
- Sociology and Political Science
- Computer Networks and Communications
- Transportation
- Co-authors
- L. Venkata SubramaniamKuntal DeyNupur PrakashKamlesh DuttaRahul MalikSunita TiwariDaya GuptaNiladri Chatterjee
- Topics
- Topic Modeling (8 papers)Natural Language Processing Techniques (7 papers)Cryptography and Residue Arithmetic (6 papers)
In The Last Decade
Saroj Kaushik
27 papers receiving 157 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 123
- Information Systems 54
- Sociology and Political Science 15
- Computer Networks and Communications 14
- Transportation 11
Countries citing papers authored by Saroj Kaushik
This map shows the geographic impact of Saroj Kaushik'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 Saroj Kaushik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saroj Kaushik more than expected).
Fields of papers citing papers by Saroj Kaushik
This network shows the impact of papers produced by Saroj Kaushik. 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 Saroj Kaushik. The network helps show where Saroj Kaushik may publish in the future.
Co-authorship network of co-authors of Saroj Kaushik
This figure shows the co-authorship network connecting the top 25 collaborators of Saroj Kaushik. A scholar is included among the top collaborators of Saroj Kaushik 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 Saroj Kaushik. Saroj Kaushik 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 | 1 | |
| 3 | 28 | |
| 4 | A paraphrase and semantic similarity detection system for user generated short-text content on microblogs | 11 |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | Automatically selecting answer templates to respond to customer emails | 29 |
| 13 | IITD-IBMIRL System for Question Answering Using Pattern Matching, Semantic Type and Semantic Category Recognition. | 12 |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 1 |
About Saroj Kaushik
Saroj Kaushik is a scholar working on Transportation, Geography, Planning and Development and Artificial Intelligence, having authored 30 papers that have together received 170 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Cryptography and Residue Arithmetic (6 papers). The work is most often cited by research in Artificial Intelligence (123 citations), Information Systems (54 citations) and Transportation (11 citations). Saroj Kaushik has collaborated with scholars based in India and Singapore. Frequent co-authors include L. Venkata Subramaniam, Kuntal Dey, Nupur Prakash, Kamlesh Dutta, Rahul Malik, Sunita Tiwari, Daya Gupta and Niladri Chatterjee. Their work appears in journals such as Expert Systems with Applications, Computers & Electrical Engineering and Journal of Computers.
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.