Harshit Kumar
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Speech and dialogue systems
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Semantic Web and Ontologies
- Information Systems top 10%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
Papers in
-
- Recommender Systems and Techniques 8
- Web Data Mining and Analysis 7
- Information Retrieval and Search Behavior 6
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- Topic Modeling 10
- Natural Language Processing Techniques 7
- Speech and dialogue systems 4
- Semantic Web and Ontologies 4
- Co-authors
- Arvind K. Agarwal (6 shared papers)Sachindra Joshi (5 shared papers)Hong‐Gee Kim (6 shared papers)Yong Wei Zheng (1 shared paper)Sungin Lee (1 shared paper)Sanggil Kang (5 shared papers)Vivek Iyer (2 shared papers)Sahil Bansal (1 shared paper)
- Journals
- Computing (1 paper)Veterinary Parasitology Regional Studies and Reports (1 paper)Information Sciences (1 paper)Lecture notes in computer science (7 papers)New Generation Computing (1 paper)
- Partner nations
- IndiaSouth KoreaUnited States
In The Last Decade
Harshit Kumar
38 papers receiving 250 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 171
- Information Systems 96
- Computer Networks and Communications 44
- Software 7
- Management Science and Operations Research 17
Countries citing papers authored by Harshit Kumar
This map shows the geographic impact of Harshit Kumar'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 Harshit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harshit Kumar more than expected).
Fields of papers citing papers by Harshit Kumar
This network shows the impact of papers produced by Harshit Kumar. 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 Harshit Kumar. The network helps show where Harshit Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Harshit Kumar, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 75 | |
| 2 | 2018 | 28 | |
| 3 | 2018 | 17 | |
| 4 | 2014 | 16 | |
| 5 | 2012 | 13 | |
| 6 | 2023 | 10 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 9 | |
| 9 | 2019 | 9 | |
| 10 | VeeAlign: a supervised deep learning approach to ontology alignment. | 2020 | 7 |
| 11 | 2011 | 6 | |
| 12 | 2008 | 6 | |
| 13 | 2011 | 6 | |
| 14 | 2021 | 6 | |
| 15 | Dialogue-act-driven Conversation Model : An Experimental Study | 2018 | 6 |
| 16 | 2023 | 6 | |
| 17 | 2011 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 3 |
About Harshit Kumar
Harshit Kumar is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Software and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 267 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Recommender Systems and Techniques (8 papers), Web Data Mining and Analysis (7 papers), Natural Language Processing Techniques (7 papers), Software System Performance and Reliability (7 papers), Information Retrieval and Search Behavior (6 papers), Speech and dialogue systems (4 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Artificial Intelligence (171 citations), Information Systems (96 citations), Computer Networks and Communications (44 citations), Software (7 citations) and Management Science and Operations Research (17 citations). Harshit Kumar has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Arvind K. Agarwal, Sachindra Joshi, Hong‐Gee Kim, Yong Wei Zheng, Sungin Lee, Sanggil Kang, Vivek Iyer, Sahil Bansal, Wookey Lee and Nidhi R. Arora. Their work appears in journals such as Computing, Veterinary Parasitology Regional Studies and Reports, Information Sciences, Lecture notes in computer science and New Generation Computing.
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.