Kuntal Kumar Pal
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electronic, Optical and Magnetic Materials
- Radiology, Nuclear Medicine and Imaging
- Materials Chemistry
- Co-authors
- Pratyay BanerjeeChitta BaralArindam MitraAlfredo CuzzocreaS. D. Madhu KumarPrantik HowladerArindam DasBinaya Kumar Sahu
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (6 papers)Advanced Nanomaterials in Catalysis (1 paper)
- Journals
- Applied Surface ScienceCrystal Growth & DesignarXiv (Cornell University)
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Kuntal Kumar Pal
11 papers receiving 296 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 134
- Computer Vision and Pattern Recognition 67
- Electronic, Optical and Magnetic Materials 36
- Radiology, Nuclear Medicine and Imaging 33
- Materials Chemistry 31
Countries citing papers authored by Kuntal Kumar Pal
This map shows the geographic impact of Kuntal Kumar 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 Kuntal Kumar Pal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuntal Kumar Pal more than expected).
Fields of papers citing papers by Kuntal Kumar Pal
This network shows the impact of papers produced by Kuntal Kumar 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 Kuntal Kumar Pal. The network helps show where Kuntal Kumar Pal may publish in the future.
Co-authorship network of co-authors of Kuntal Kumar Pal
This figure shows the co-authorship network connecting the top 25 collaborators of Kuntal Kumar Pal. A scholar is included among the top collaborators of Kuntal Kumar 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 Kuntal Kumar Pal. Kuntal Kumar 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 | 5 | |
| 3 | 14 | |
| 4 | 3 | |
| 5 | 20 | |
| 6 | Commonsense Reasoning with Implicit Knowledge in Natural Language | 3 |
| 7 | 38 | |
| 8 | 25 | |
| 9 | Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering | 19 |
| 10 | 26 | |
| 11 | 141 | |
| 12 | 14 |
About Kuntal Kumar Pal
Kuntal Kumar Pal is a scholar working on Artificial Intelligence, Information Systems and Renewable Energy, Sustainability and the Environment, having authored 12 papers that have together received 308 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Advanced Nanomaterials in Catalysis (1 paper). The work is most often cited by research in Artificial Intelligence (134 citations), Health Informatics (5 citations) and Computer Vision and Pattern Recognition (67 citations). Kuntal Kumar Pal has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Pratyay Banerjee, Chitta Baral, Arindam Mitra, Alfredo Cuzzocrea, S. D. Madhu Kumar, Prantik Howlader, Arindam Das, Binaya Kumar Sahu, Ramanathaswamy Pandian and Sandip Dhara. Their work appears in journals such as Applied Surface Science, Crystal Growth & Design and arXiv (Cornell University).
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.