Arnab Nandi
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
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- Scientific Computing and Data Management
Papers in
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- Advanced Database Systems and Queries 19
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- Data Management and Algorithms 19
- Co-authors
- H. V. Jagadish (8 shared papers)Cong Yu (4 shared papers)Magesh Jayapandian (2 shared papers)Aaron Elkiss (2 shared papers)Adriane Chapman (2 shared papers)Yunyao Li (1 shared paper)Philip Bohannon (2 shared papers)Raghu Ramakrishnan (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (11 papers)The VLDB Journal (1 paper)Quantum Information Processing (1 paper)Nucleic Acids Research (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Arnab Nandi
64 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 113
- Signal Processing 326
- Information Systems and Management 132
- Computer Networks and Communications 392
- Computer Vision and Pattern Recognition 289
- Computer Science Applications 68
Countries citing papers authored by Arnab Nandi
This map shows the geographic impact of Arnab 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 Arnab Nandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnab Nandi more than expected).
Fields of papers citing papers by Arnab Nandi
This network shows the impact of papers produced by Arnab 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 Arnab Nandi. The network helps show where Arnab Nandi may publish in the future.
Co-authors
The 25 scholars most cited alongside Arnab Nandi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 149 | |
| 2 | 2016 | 118 | |
| 3 | 2006 | 100 | |
| 4 | 2014 | 88 | |
| 5 | 2007 | 47 | |
| 6 | Effective phrase prediction | 2007 | 46 |
| 7 | 2011 | 35 | |
| 8 | 2014 | 31 | |
| 9 | 2013 | 30 | |
| 10 | 2011 | 29 | |
| 11 | 2017 | 24 | |
| 12 | 2011 | 24 | |
| 13 | 2014 | 22 | |
| 14 | 2009 | 18 | |
| 15 | 2019 | 17 | |
| 16 | 2016 | 17 | |
| 17 | 2015 | 17 | |
| 18 | Qunits: queried units for database search | 2009 | 13 |
| 19 | 2017 | 13 | |
| 20 | 2015 | 12 |
About Arnab Nandi
Arnab Nandi is a scholar working on Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (19 papers), Advanced Database Systems and Queries (19 papers), Data Visualization and Analytics (10 papers), Scientific Computing and Data Management (8 papers), Data Quality and Management (7 papers), Video Analysis and Summarization (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Machine Fault Diagnosis Techniques (4 papers). The work is most often cited by research in Signal Processing (326 citations), Information Systems and Management (132 citations), Computer Networks and Communications (392 citations), Computer Vision and Pattern Recognition (289 citations) and Computer Science Applications (68 citations). Arnab Nandi has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include H. V. Jagadish, Cong Yu, Magesh Jayapandian, Aaron Elkiss, Adriane Chapman, Yunyao Li, Philip Bohannon, Raghu Ramakrishnan, Ritesh Sarkhel and Hosameldin Ahmed. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal, Quantum Information Processing, Nucleic Acids Research and ACM Transactions on Knowledge Discovery from Data.
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.