Sayan Ghosh
- Artificial Intelligence top 5%
- Topic Modeling 10
- Evolutionary Algorithms and Applications 10
- Metaheuristic Optimization Algorithms Research 10
- Advanced Graph Neural Networks 8
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 10
- Signal Processing top 10%
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- Complex Network Analysis Techniques 9
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- Advanced Multi-Objective Optimization Algorithms 14
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- Graph Theory and Algorithms 8
- Co-authors
- Louis–Philippe MorencyEugene LaksanaStefan SchererSwagatam DasD. KunduMahantesh HalappanavarAjith AbrahamBijaya Ketan Panigrahi
- Partner nations
- United StatesIndiaNorway
In The Last Decade
Sayan Ghosh
66 papers receiving 769 citations
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 408
- Experimental and Cognitive Psychology 115
- Hardware and Architecture 54
- Signal Processing 86
- Statistical and Nonlinear Physics 97
Countries citing papers authored by Sayan Ghosh
This map shows the geographic impact of Sayan Ghosh'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 Sayan Ghosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayan Ghosh more than expected).
Fields of papers citing papers by Sayan Ghosh
This network shows the impact of papers produced by Sayan Ghosh. 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 Sayan Ghosh. The network helps show where Sayan Ghosh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sayan Ghosh, 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 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 0 | |
| 11 | 2022 | 0 | |
| 12 | 2021 | 2 | |
| 13 | 2017 | 96 | |
| 14 | 2016 | 3 | |
| 15 | 2012 | 1 | |
| 16 | 2011 | 6 | |
| 17 | 2010 | 86 | |
| 18 | 2010 | 40 | |
| 19 | 2010 | 2 | |
| 20 | An Alternative Approach to History Sensitive Computation in Dataflow Model | 1989 | 1 |
About Sayan Ghosh
Sayan Ghosh is a scholar working on Hardware and Architecture, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 72 papers that have together received 802 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (14 papers), Topic Modeling (10 papers), Evolutionary Algorithms and Applications (10 papers), Metaheuristic Optimization Algorithms Research (10 papers), Parallel Computing and Optimization Techniques (10 papers), Complex Network Analysis Techniques (9 papers), Graph Theory and Algorithms (8 papers) and Advanced Graph Neural Networks (8 papers). The work is most often cited by research in Artificial Intelligence (408 citations), Experimental and Cognitive Psychology (115 citations) and Hardware and Architecture (54 citations). Sayan Ghosh has collaborated with scholars based in United States, India and Norway. Frequent co-authors include Louis–Philippe Morency, Eugene Laksana, Stefan Scherer, Swagatam Das, D. Kundu, Mahantesh Halappanavar, Ajith Abraham, Bijaya Ketan Panigrahi, Mathieu Chollet and Assefaw H. Gebremedhin. Their work appears in journals such as Sensors, Information Sciences and Physics of Fluids.
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.