Anup Das
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Interconnection Networks and Systems
Papers in
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- Parallel Computing and Optimization Techniques 37
- Embedded Systems Design Techniques 19
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- Interconnection Networks and Systems 25
- Advanced Data Storage Technologies 8
- Co-authors
- Akash KumarGeoff V. MerrettBashir M. Al‐HashimiBharadwaj VeeravalliAdarsha BalajiFrancky CatthoorDomenico BalsamoDavide Brunelli
- Journals
- ACM Transactions on Embedded Computing Systems (6 papers)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (5 papers)Electronics (3 papers)Patient (2 papers)Remote Sensing (2 papers)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Anup Das
105 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 97
- Hardware and Architecture 722
- Computer Networks and Communications 593
- Electrical and Electronic Engineering 1.4k
- Cellular and Molecular Neuroscience 205
- Artificial Intelligence 251
Countries citing papers authored by Anup Das
This map shows the geographic impact of Anup 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 Anup Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anup Das more than expected).
Fields of papers citing papers by Anup Das
This network shows the impact of papers produced by Anup 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 Anup Das. The network helps show where Anup Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Anup 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 21 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 10 | |
| 13 | 2020 | 19 | |
| 14 | 2018 | 14 | |
| 15 | 2015 | 13 | |
| 16 | 2015 | 17 | |
| 17 | Thermal-aware Adaptive Energy Minimization of OpenMP Parallel Applications | 2015 | 4 |
| 18 | 2014 | 6 | |
| 19 | 2013 | 23 | |
| 20 | 2013 | 6 |
About Anup Das
Anup Das is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 116 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (45 papers), Parallel Computing and Optimization Techniques (37 papers), Ferroelectric and Negative Capacitance Devices (29 papers), Interconnection Networks and Systems (25 papers), Embedded Systems Design Techniques (19 papers), Neuroscience and Neural Engineering (10 papers), CCD and CMOS Imaging Sensors (9 papers) and Advanced Data Storage Technologies (8 papers). The work is most often cited by research in Hardware and Architecture (722 citations), Computer Networks and Communications (593 citations), Electrical and Electronic Engineering (1.4k citations), Cellular and Molecular Neuroscience (205 citations) and Artificial Intelligence (251 citations). Anup Das has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Akash Kumar, Geoff V. Merrett, Bashir M. Al‐Hashimi, Bharadwaj Veeravalli, Adarsha Balaji, Francky Catthoor, Domenico Balsamo, Davide Brunelli, Alex S. Weddell and Rishad Shafik. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Electronics, Patient and Remote Sensing.
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.