Ankit Das
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Papers in
-
- Fuzzy Logic and Control Systems 11
- Neural Networks and Applications 9
-
- Additive Manufacturing Materials and Processes 5
- Advanced machining processes and optimization 4
- Co-authors
- Suresh Sundaram (5 shared papers)K. R. Subramanian (4 shared papers)N. Sundararajan (6 shared papers)Savitha Ramasamy (2 shared papers)Mohamed Habibullah (4 shared papers)Feng Yang (6 shared papers)Jayesh Mudgal (1 shared paper)Devinder Arora (1 shared paper)
- Journals
- Advanced Science (2 papers)IEEE Transactions on Fuzzy Systems (2 papers)Evolving Systems (2 papers)Applied Physics Letters (1 paper)Advanced Engineering Informatics (1 paper)
- Partner nations
- SingaporeIndiaUnited States
In The Last Decade
Ankit Das
47 papers receiving 608 citations
Peers
Comparison fields: 5 of 102
- Cognitive Neuroscience 111
- Artificial Intelligence 193
- Industrial and Manufacturing Engineering 49
- Human-Computer Interaction 22
- Mechanical Engineering 138
Countries citing papers authored by Ankit Das
This map shows the geographic impact of Ankit Das'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 Ankit Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Das more than expected).
Fields of papers citing papers by Ankit Das
This network shows the impact of papers produced by Ankit Das. 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 Ankit Das. The network helps show where Ankit Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankit Das, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 68 | |
| 2 | 2020 | 66 | |
| 3 | 2013 | 58 | |
| 4 | 2020 | 50 | |
| 5 | 2020 | 35 | |
| 6 | 2016 | 33 | |
| 7 | 2016 | 33 | |
| 8 | 2020 | 28 | |
| 9 | 2024 | 22 | |
| 10 | 2023 | 17 | |
| 11 | 2015 | 16 | |
| 12 | 2019 | 15 | |
| 13 | 2019 | 15 | |
| 14 | Study on treatment of electroplating wastewater using constructed wetland | 2015 | 13 |
| 15 | 2016 | 12 | |
| 16 | 2024 | 12 | |
| 17 | 2021 | 10 | |
| 18 | 2014 | 10 | |
| 19 | 2015 | 9 | |
| 20 | 2022 | 8 |
About Ankit Das
Ankit Das is a scholar working on Artificial Intelligence, Mechanical Engineering, Biomedical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 51 papers that have together received 616 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (11 papers), Neural Networks and Applications (9 papers), EEG and Brain-Computer Interfaces (8 papers), Additive Manufacturing Materials and Processes (5 papers), Image Processing Techniques and Applications (4 papers), Advanced machining processes and optimization (4 papers), Medical Image Segmentation Techniques (3 papers) and Solar Thermal and Photovoltaic Systems (3 papers). The work is most often cited by research in Cognitive Neuroscience (111 citations), Artificial Intelligence (193 citations), Industrial and Manufacturing Engineering (49 citations), Human-Computer Interaction (22 citations) and Mechanical Engineering (138 citations). Ankit Das has collaborated with scholars based in Singapore, India and United States. Frequent co-authors include Suresh Sundaram, K. R. Subramanian, N. Sundararajan, Savitha Ramasamy, Mohamed Habibullah, Feng Yang, Jayesh Mudgal, Devinder Arora, Madhavan Nampoothiri and Manas Kinra. Their work appears in journals such as Advanced Science, IEEE Transactions on Fuzzy Systems, Evolving Systems, Applied Physics Letters and Advanced Engineering Informatics.
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.