Nikhil R. Pal
- Artificial Intelligence top 0.05%
- Computer Vision and Pattern Recognition top 0.1%
- Control and Systems Engineering top 0.5%
- Media Technology top 0.1%
- Management Science and Operations Research top 0.2%
- Co-authors
- James C. BezdekSankar K. PalRajani K. MudiKuhu PalJames M. KellerRaghu KrisnapuramJames F. KellerDinabandhu Bhandari
- Topics
- Neural Networks and Applications (87 papers)Fuzzy Logic and Control Systems (59 papers)Face and Expression Recognition (35 papers)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Nikhil R. Pal
250 papers receiving 14.5k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Artificial Intelligence 7.5k
- Computer Vision and Pattern Recognition 5.3k
- Control and Systems Engineering 1.7k
- Media Technology 1.7k
- Management Science and Operations Research 1.7k
Countries citing papers authored by Nikhil R. Pal
This map shows the geographic impact of Nikhil R. Pal'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 Nikhil R. Pal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil R. Pal more than expected).
Fields of papers citing papers by Nikhil R. Pal
This network shows the impact of papers produced by Nikhil R. Pal. 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 Nikhil R. Pal. The network helps show where Nikhil R. Pal may publish in the future.
Co-authorship network of co-authors of Nikhil R. Pal
This figure shows the co-authorship network connecting the top 25 collaborators of Nikhil R. Pal. A scholar is included among the top collaborators of Nikhil R. Pal 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 Nikhil R. Pal. Nikhil R. Pal 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 15 | |
| 11 | 8 | |
| 12 | 15 | |
| 13 | 63 | |
| 14 | 8 | |
| 15 | 19 | |
| 16 | 0 | |
| 17 | 44 | |
| 18 | 73 | |
| 19 | 26 | |
| 20 | On identifying marker genes from gene expression data in a neural framework through online feature analysis: Research Articles | 1 |
About Nikhil R. Pal
Nikhil R. Pal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology, having authored 266 papers that have together received 15.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (87 papers), Fuzzy Logic and Control Systems (59 papers) and Face and Expression Recognition (35 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.3k citations), Artificial Intelligence (7.5k citations) and Media Technology (1.7k citations). Nikhil R. Pal has collaborated with scholars based in India, United States and China. Frequent co-authors include James C. Bezdek, Sankar K. Pal, Rajani K. Mudi, Kuhu Pal, James M. Keller, Raghu Krisnapuram, James F. Keller, Dinabandhu Bhandari, Eric Chen-Kuo Tsao and Jayanta Kumar Das. Their work appears in journals such as Bioinformatics, PLoS ONE and Remote Sensing of Environment.
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.