Ishanu Chattopadhyay
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- Formal Methods in Verification 18
- Petri Nets in System Modeling 14
- Modeling and Simulation top 10%
- Artificial Intelligence top 10%
- Algorithms and Data Compression 7
- Machine Learning and Algorithms 5
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- Distributed systems and fault tolerance 7
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- Modular Robots and Swarm Intelligence 6
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- Robotic Path Planning Algorithms 6
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- Business Process Modeling and Analysis 4
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Medicine (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesPolandDenmark
In The Last Decade
Ishanu Chattopadhyay
52 papers receiving 471 citations
Peers
Comparison fields: 5 of 112
- Health Informatics 10
- Computational Theory and Mathematics 107
- Modeling and Simulation 30
- Artificial Intelligence 121
- Biological Psychiatry 8
Countries citing papers authored by Ishanu Chattopadhyay
This map shows the geographic impact of Ishanu Chattopadhyay'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 Ishanu Chattopadhyay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ishanu Chattopadhyay more than expected).
Fields of papers citing papers by Ishanu Chattopadhyay
This network shows the impact of papers produced by Ishanu Chattopadhyay. 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 Ishanu Chattopadhyay. The network helps show where Ishanu Chattopadhyay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ishanu Chattopadhyay, 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 | 2024 | 1 | |
| 2 | 2024 | 11 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 17 | |
| 5 | 2022 | 16 | |
| 6 | 2022 | 15 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 2 | |
| 10 | 2019 | 20 | |
| 11 | 2018 | 30 | |
| 12 | Autostacker: an Automatic Evolutionary Hierarchical Machine Learning System | 2018 | 1 |
| 13 | 2014 | 2 | |
| 14 | 2014 | 12 | |
| 15 | 2011 | 10 | |
| 16 | 2009 | 3 | |
| 17 | 2009 | 25 | |
| 18 | 2007 | 2 | |
| 19 | 2007 | 6 | |
| 20 | 2006 | 4 |
About Ishanu Chattopadhyay
Ishanu Chattopadhyay is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence, having authored 52 papers that have together received 479 indexed citations. Recurring topics across this work include Formal Methods in Verification (18 papers), Petri Nets in System Modeling (14 papers), Algorithms and Data Compression (7 papers), Distributed systems and fault tolerance (7 papers), Modular Robots and Swarm Intelligence (6 papers), Robotic Path Planning Algorithms (6 papers), Machine Learning and Algorithms (5 papers) and Business Process Modeling and Analysis (4 papers). The work is most often cited by research in Health Informatics (10 citations), Computational Theory and Mathematics (107 citations) and Modeling and Simulation (30 citations). Ishanu Chattopadhyay has collaborated with scholars based in United States, Poland and Denmark. Frequent co-authors include Asok Ray, Hod Lipson, PA Routledge, Jinny Jeffery, Harvey Wu, Boyuan Chen, Andrey Rzhetsky, Yi Huang, Jeffrey Shaman and Joshua W. Elliott. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.
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.