Utpal Nandi
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Mathematical Physics top 10%
- Signal Processing
- Co-authors
- Jyotsna Kumar MandalMoirangthem Marjit SinghChiranjit ChangdarRajat Kumar PalTapas SiSudipta Kr GhosalSwalpa Kumar RoyXin Wu
- Topics
- Algorithms and Data Compression (14 papers)Advanced Data Compression Techniques (11 papers)Mathematical Dynamics and Fractals (11 papers)
- Partner nations
- IndiaUnited StatesBrazil
In The Last Decade
Utpal Nandi
38 papers receiving 289 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 142
- Computer Vision and Pattern Recognition 127
- Computer Networks and Communications 76
- Mathematical Physics 52
- Signal Processing 37
Countries citing papers authored by Utpal Nandi
This map shows the geographic impact of Utpal Nandi'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 Utpal Nandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Utpal Nandi more than expected).
Fields of papers citing papers by Utpal Nandi
This network shows the impact of papers produced by Utpal Nandi. 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 Utpal Nandi. The network helps show where Utpal Nandi may publish in the future.
Co-authorship network of co-authors of Utpal Nandi
This figure shows the co-authorship network connecting the top 25 collaborators of Utpal Nandi. A scholar is included among the top collaborators of Utpal Nandi 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 Utpal Nandi. Utpal Nandi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 60 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 11 | |
| 14 | 11 | |
| 15 | 3 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | Online Evaluation of Steel Slab Quality in Production Phase by Surface Crack Image Segmentation using Relative Fuzzy Connectedness. | 1 |
About Utpal Nandi
Utpal Nandi is a scholar working on Mathematical Physics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 42 papers that have together received 303 indexed citations. Recurring topics across this work include Algorithms and Data Compression (14 papers), Advanced Data Compression Techniques (11 papers) and Mathematical Dynamics and Fractals (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (127 citations), Mathematical Physics (52 citations) and Human-Computer Interaction (29 citations). Utpal Nandi has collaborated with scholars based in India, United States and Brazil. Frequent co-authors include Jyotsna Kumar Mandal, Moirangthem Marjit Singh, Chiranjit Changdar, Rajat Kumar Pal, Tapas Si, Sudipta Kr Ghosal, Swalpa Kumar Roy, Xin Wu, Péricles Miranda and Jocelyn Chanussot. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.
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.