Vivek Kumar
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- Topic Modeling 6
- Sentiment Analysis and Opinion Mining 4
- Natural Language Processing Techniques 3
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- Spam and Phishing Detection 2
- Co-authors
- Diego Reforgiato Recupero (7 shared papers)Rim Helaoui (6 shared papers)Daniele Riboni (7 shared papers)Uğur Erkan (1 shared paper)Dang N. H. Thanh (1 shared paper)Prayag Tiwari (5 shared papers)V. B. Surya Prasath (1 shared paper)Nguyễn Ngọc Hiền (1 shared paper)
- Journals
- IEEE Access (2 papers)Future Internet (1 paper)GeroScience (1 paper)Journal of Clinical Oncology (1 paper)Information (3 papers)
- Partner nations
- ItalyIndiaUnited States
In The Last Decade
Vivek Kumar
22 papers receiving 259 citations
Peers
Comparison fields: 5 of 81
- Health Informatics 7
- Health Information Management 19
- Artificial Intelligence 128
- Computer Vision and Pattern Recognition 53
- Media Technology 21
Countries citing papers authored by Vivek Kumar
This map shows the geographic impact of Vivek 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 Vivek Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Kumar more than expected).
Fields of papers citing papers by Vivek Kumar
This network shows the impact of papers produced by Vivek 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 Vivek Kumar. The network helps show where Vivek Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vivek 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 61 | |
| 2 | 2019 | 48 | |
| 3 | Multi-agent based decision Support System using Data Mining and Case Based Reasoning | 2011 | 23 |
| 4 | 2017 | 17 | |
| 5 | 2022 | 13 | |
| 6 | 2023 | 12 | |
| 7 | 2017 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2017 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 5 | |
| 17 | Detection of Malware by using Sequence Alignment Strategy and Data Mining Techniques | 2013 | 5 |
| 18 | 2024 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 2 |
About Vivek Kumar
Vivek Kumar is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Molecular Biology and Social Psychology, having authored 26 papers that have together received 277 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (4 papers), Natural Language Processing Techniques (3 papers), Spam and Phishing Detection (2 papers), Mental Health via Writing (2 papers), Big Data and Business Intelligence (2 papers), Image Retrieval and Classification Techniques (2 papers) and Vehicle License Plate Recognition (2 papers). The work is most often cited by research in Health Informatics (7 citations), Health Information Management (19 citations), Artificial Intelligence (128 citations), Computer Vision and Pattern Recognition (53 citations) and Media Technology (21 citations). Vivek Kumar has collaborated with scholars based in Italy, India and United States. Frequent co-authors include Diego Reforgiato Recupero, Rim Helaoui, Daniele Riboni, Uğur Erkan, Dang N. H. Thanh, Prayag Tiwari, V. B. Surya Prasath, Nguyễn Ngọc Hiền, Jagjit Singh and Sachin Kumar. Their work appears in journals such as IEEE Access, Future Internet, GeroScience, Journal of Clinical Oncology and Information.
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.