Dhruv Gupta
- Information Systems top 1%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Ken GoldbergC. PerkinsThomas RoederKlaus BerberichAtif NazirChen‐Nee ChuahSaqib RazaBalachander Krishnamurthy
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (6 papers)Semantic Web and Ontologies (5 papers)
- Journals
- European Journal of Pharmaceutics and BiopharmaceuticsIEEE Transactions on Circuits & Systems II Express BriefsMultimedia Systems
- Partner nations
- GermanyIndiaUnited States
In The Last Decade
Dhruv Gupta
23 papers receiving 999 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Information Systems 765
- Artificial Intelligence 404
- Computer Vision and Pattern Recognition 300
- Management Science and Operations Research 178
- Computer Networks and Communications 171
Countries citing papers authored by Dhruv Gupta
This map shows the geographic impact of Dhruv 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 Dhruv Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhruv Gupta more than expected).
Fields of papers citing papers by Dhruv Gupta
This network shows the impact of papers produced by Dhruv 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 Dhruv Gupta. The network helps show where Dhruv Gupta may publish in the future.
Co-authorship network of co-authors of Dhruv Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Dhruv Gupta. A scholar is included among the top collaborators of Dhruv Gupta 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 Dhruv Gupta. Dhruv Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | A Probabilistic Framework for Time-Sensitive Search: MPII at the NTCIR-12 Temporalia-2 Task. | 1 |
| 12 | 6 | |
| 13 | 0 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 38 | |
| 18 | 10 | |
| 19 | Jester 2.0: Evaluation of an New Linear Time Collaborative Filtering Algorithm (poster abstract). | 16 |
| 20 | 2 |
About Dhruv Gupta
Dhruv Gupta is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Information Systems (765 citations), Computational Mathematics (16 citations) and Computer Vision and Pattern Recognition (300 citations). Dhruv Gupta has collaborated with scholars based in Germany, India and United States. Frequent co-authors include Ken Goldberg, C. Perkins, Thomas Roeder, Klaus Berberich, Atif Nazir, Chen‐Nee Chuah, Saqib Raza, Balachander Krishnamurthy, Prasant Mohapatra and Daniel Wu. Their work appears in journals such as European Journal of Pharmaceutics and Biopharmaceutics, IEEE Transactions on Circuits & Systems II Express Briefs and Multimedia 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.