Nitisha Jain
Impact in
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Topic Modeling
- AI-based Problem Solving and Planning
- Advanced Graph Neural Networks
- Logic, Reasoning, and Knowledge
- Natural Language Processing Techniques
- Information Systems top 10%
- Service-Oriented Architecture and Web Services
Papers in
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- Semantic Web and Ontologies 13
- Topic Modeling 9
- AI-based Problem Solving and Planning 7
- Logic, Reasoning, and Knowledge 7
- Advanced Graph Neural Networks 5
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- Cloud Computing and Resource Management 4
- Co-authors
- Sarika Jain (10 shared papers)K. K. Bharadwaj (2 shared papers)Ralf Krestel (6 shared papers)Kamal K. Bharadwaj (1 shared paper)Wolf‐Tilo Balke (1 shared paper)Jan-Christoph Kalo (1 shared paper)Norian Marranghello (1 shared paper)Daria Stepanova (1 shared paper)
In The Last Decade
Nitisha Jain
36 papers receiving 313 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 263
- Information Systems 120
- Management Science and Operations Research 42
- Computer Networks and Communications 70
- Computational Theory and Mathematics 32
Countries citing papers authored by Nitisha Jain
This map shows the geographic impact of Nitisha 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 Nitisha Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitisha Jain more than expected).
Fields of papers citing papers by Nitisha Jain
This network shows the impact of papers produced by Nitisha 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 Nitisha Jain. The network helps show where Nitisha Jain may publish in the future.
Co-authors
The 24 scholars most cited alongside Nitisha Jain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 40 | |
| 2 | 2021 | 30 | |
| 3 | 1999 | 21 | |
| 4 | 2015 | 21 | |
| 5 | 1998 | 21 | |
| 6 | 2008 | 20 | |
| 7 | 2013 | 18 | |
| 8 | 2021 | 17 | |
| 9 | 2015 | 15 | |
| 10 | 2011 | 12 | |
| 11 | 2011 | 12 | |
| 12 | 2015 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2014 | 11 | |
| 15 | 2010 | 10 | |
| 16 | 2010 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2019 | 8 | |
| 19 | 2017 | 7 | |
| 20 | 2019 | 6 |
About Nitisha Jain
Nitisha Jain is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Management Information Systems, having authored 36 papers that have together received 341 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Topic Modeling (9 papers), AI-based Problem Solving and Planning (7 papers), Logic, Reasoning, and Knowledge (7 papers), Advanced Graph Neural Networks (5 papers), Cloud Computing and Resource Management (4 papers), Music and Audio Processing (4 papers) and Advanced Data Storage Technologies (4 papers). The work is most often cited by research in Artificial Intelligence (263 citations), Information Systems (120 citations), Management Science and Operations Research (42 citations), Computer Networks and Communications (70 citations) and Computational Theory and Mathematics (32 citations). Nitisha Jain has collaborated with scholars based in India, Germany and Brazil. Frequent co-authors include Sarika Jain, K. K. Bharadwaj, Ralf Krestel, Kamal K. Bharadwaj, Wolf‐Tilo Balke, Jan-Christoph Kalo, Norian Marranghello, Daria Stepanova, Trung-Kien Tran and Paramita Mirza. Their work appears in journals such as Artificial Intelligence Review, Semantic Web, Journal of Web Semantics, Data & Knowledge Engineering and International Journal of Intelligent Systems.
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.