Kamal Gupta
- Marketing top 1%
- Gender Studies top 5%
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- Advanced Fiber Laser Technologies 12
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- Advanced Fiber Optic Sensors 11
- Advanced Photonic Communication Systems 7
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- Topic Modeling 10
- Natural Language Processing Techniques 10
- Text Readability and Simplification 3
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- Multimodal Machine Learning Applications 4
- Handwritten Text Recognition Techniques 3
Kamal Gupta
33 papers receiving 845 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Marketing 544
- Gender Studies 162
- Organizational Behavior and Human Resource Management 118
- Sociology and Political Science 423
- Information Systems and Management 58
Countries citing papers authored by Kamal Gupta
This map shows the geographic impact of Kamal Gupta'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 Kamal Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamal Gupta more than expected).
Fields of papers citing papers by Kamal Gupta
This network shows the impact of papers produced by Kamal Gupta. 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 Kamal Gupta. The network helps show where Kamal Gupta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kamal Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 8 | |
| 5 | 2021 | 3 | |
| 6 | Investigating Active Learning in Interactive Neural Machine Translation | 2021 | 1 |
| 7 | 2021 | 5 | |
| 8 | 2020 | 5 | |
| 9 | IITP-MT at WAT2018: Transformer-based Multilingual Indic-English Neural Machine Translation System | 2018 | 6 |
| 10 | 2016 | 14 | |
| 11 | 2011 | 7 | |
| 12 | 2011 | 2 | |
| 13 | 2011 | 3 | |
| 14 | 2006 | 1 | |
| 15 | 2005 | 3 | |
| 16 | 2003 | 1 | |
| 17 | 2000 | 37 | |
| 18 | 1999 | 1 | |
| 19 | 1996 | 53 | |
| 20 | Congruence between spokesperson and product type: A matchup hypothesis perspectivebreakdown → | 1994 | 546 |
About Kamal Gupta
Kamal Gupta is a scholar working on General Decision Sciences, Computer Vision and Pattern Recognition and Marketing, having authored 39 papers that have together received 932 indexed citations. Recurring topics across this work include Advanced Fiber Laser Technologies (12 papers), Advanced Fiber Optic Sensors (11 papers), Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers), Advanced Photonic Communication Systems (7 papers), Multimodal Machine Learning Applications (4 papers), Text Readability and Simplification (3 papers) and Handwritten Text Recognition Techniques (3 papers). The work is most often cited by research in Marketing (544 citations), Gender Studies (162 citations) and Organizational Behavior and Human Resource Management (118 citations). Kamal Gupta has collaborated with scholars based in India, Japan and Australia. Frequent co-authors include Michael A. Kamins, Ingrid M. Martin, Valerie S. Folkes, David W. Stewart, Dalma Novak, N. Onodera, Asif Ekbal, Masayuki Hyodo, Pushpak Bhattacharyya and Joern Rehder. Their work appears in journals such as Electronics Letters, Optical Fiber Technology, Journal of Consumer Research, Computer Communications and Journal of Lightwave Technology.
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.