Palash Nandy
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
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- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Image and Video Quality Assessment
Papers in
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- Image Retrieval and Classification Techniques 1
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- Psychology of Moral and Emotional Judgment 1
- Co-authors
- James Davidson (1 shared paper)Junning Liu (1 shared paper)Yu Hui He (1 shared paper)M.L. Lambert (1 shared paper)Ullas Gargi (1 shared paper)Kate F. Darling (1 shared paper)Cynthia Breazeal (1 shared paper)Alejandro Jaimes (1 shared paper)
- Journals
- DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Palash Nandy
6 papers receiving 857 citations
Palash Nandy's Hit Papers
Peers
Comparison fields: 5 of 78
- Information Systems 591
- Computer Vision and Pattern Recognition 293
- Management Science and Operations Research 131
- Artificial Intelligence 341
- Computer Networks and Communications 157
Countries citing papers authored by Palash Nandy
This map shows the geographic impact of Palash Nandy'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 Palash Nandy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Palash Nandy more than expected).
Fields of papers citing papers by Palash Nandy
This network shows the impact of papers produced by Palash Nandy. 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 Palash Nandy. The network helps show where Palash Nandy may publish in the future.
Co-authors
The 19 scholars most cited alongside Palash Nandy, 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 | The YouTube video recommendation system Hit paper breakdown → | 2010 | 870 |
| 2 | 2010 | 14 | |
| 3 | 2015 | 11 | |
| 4 | 2022 | 8 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 2 |
About Palash Nandy
Palash Nandy is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Social Psychology, Human-Computer Interaction and Information Systems, having authored 6 papers that have together received 910 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (2 papers), Social Robot Interaction and HRI (2 papers), Human Motion and Animation (1 paper), Image Retrieval and Classification Techniques (1 paper), Multi-Agent Systems and Negotiation (1 paper), Psychology of Moral and Emotional Judgment (1 paper), Emotions and Moral Behavior (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Information Systems (591 citations), Computer Vision and Pattern Recognition (293 citations), Management Science and Operations Research (131 citations), Artificial Intelligence (341 citations) and Computer Networks and Communications (157 citations). Palash Nandy has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include James Davidson, Junning Liu, Yu Hui He, M.L. Lambert, Ullas Gargi, Kate F. Darling, Cynthia Breazeal, Alejandro Jaimes, Ido Guy and Chahab Nastar. Their work appears in journals such as DSpace@MIT (Massachusetts Institute of 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.