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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- Video Analysis and Summarization 1
- Augmented Reality Applications 1
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- Social Robot Interaction and HRI 2
- Action Observation and Synchronization 1
- Co-authors
- Ullas Gargi (1 shared paper)M.L. Lambert (1 shared paper)Junning Liu (1 shared paper)James Davidson (1 shared paper)Yu He (1 shared paper)Cynthia Breazeal (1 shared paper)Kate Darling (1 shared paper)Tianyu Liu (1 shared paper)
- Journals
- DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
Palash Nandy
4 papers receiving 714 citations
Palash Nandy's Hit Papers
Peers
Comparison fields: 5 of 81
- Information Systems 493
- Computer Vision and Pattern Recognition 257
- Management Science and Operations Research 119
- Artificial Intelligence 289
- Computer Networks and Communications 129
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 18 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 | 736 |
| 2 | 2015 | 11 | |
| 3 | 2010 | 10 | |
| 4 | 2022 | 7 | |
| 5 | 2024 | 1 |
About Palash Nandy
Palash Nandy is a scholar working on Computer Vision and Pattern Recognition, Social Psychology, Information Systems, Cognitive Neuroscience and Control and Systems Engineering, having authored 5 papers that have together received 765 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (2 papers), Social Robot Interaction and HRI (2 papers), Interactive and Immersive Displays (1 paper), Action Observation and Synchronization (1 paper), Video Analysis and Summarization (1 paper), Human Motion and Animation (1 paper), Augmented Reality Applications (1 paper) and Psychology of Moral and Emotional Judgment (1 paper). The work is most often cited by research in Information Systems (493 citations), Computer Vision and Pattern Recognition (257 citations), Management Science and Operations Research (119 citations), Artificial Intelligence (289 citations) and Computer Networks and Communications (129 citations). Palash Nandy has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Ullas Gargi, M.L. Lambert, Junning Liu, James Davidson, Yu He, Cynthia Breazeal, Kate Darling, Tianyu Liu, Peter McDermott and Ido Guy. 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.