Naman Jain
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Software top 10%
- Computer Networks and Communications
- Co-authors
- Rahul SharmaArun IyerSriram K. RajamaniNagarajan NatarajanRiyaz Ahmad BhatMohanaSanak RayA. K. Haritash
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (7 papers)Advanced Malware Detection Techniques (2 papers)
- Journals
- The Journal of SupercomputingJournal of Global Infectious DiseasesSustainable Water Resources Management
- Partner nations
- IndiaUnited StatesPakistan
In The Last Decade
Naman Jain
23 papers receiving 193 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 112
- Information Systems 77
- Computer Vision and Pattern Recognition 37
- Software 33
- Computer Networks and Communications 28
Countries citing papers authored by Naman Jain
This map shows the geographic impact of Naman Jain'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 Naman Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naman Jain more than expected).
Fields of papers citing papers by Naman Jain
This network shows the impact of papers produced by Naman Jain. 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 Naman Jain. The network helps show where Naman Jain may publish in the future.
Co-authorship network of co-authors of Naman Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Naman Jain. A scholar is included among the top collaborators of Naman Jain 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 Naman Jain. Naman Jain 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 | 0 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 91 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 19 | |
| 16 | A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu | 3 |
| 17 | 11 | |
| 18 | 14 | |
| 19 | Exploring Semantic Information in Hindi WordNet for Hindi Dependency Parsing | 4 |
| 20 | Two-stage Approach for Hindi Dependency Parsing Using MaltParser | 5 |
About Naman Jain
Naman Jain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 28 papers that have together received 217 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Software (33 citations), Artificial Intelligence (112 citations) and Information Systems (77 citations). Naman Jain has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Rahul Sharma, Arun Iyer, Sriram K. Rajamani, Nagarajan Natarajan, Riyaz Ahmad Bhat, Mohana, Sanak Ray, A. K. Haritash, Gagan Gupta and Sunita Sarawagi. Their work appears in journals such as The Journal of Supercomputing, Journal of Global Infectious Diseases and Sustainable Water Resources Management.
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.