Abhronil Sengupta
- Electrical and Electronic Engineering top 2%
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Kaushik RoyAayush AnkitPriyadarshini PandaGopalakrishnan SrinivasanYong ShimYusung KimBing HanDeliang Fan
- Topics
- Advanced Memory and Neural Computing (67 papers)Ferroelectric and Negative Capacitance Devices (46 papers)Neural Networks and Reservoir Computing (16 papers)
- Journals
- ScienceAdvanced MaterialsSHILAP Revista de lepidopterología
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Abhronil Sengupta
77 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 65
- Electrical and Electronic Engineering 1.8k
- Artificial Intelligence 739
- Cognitive Neuroscience 362
- Atomic and Molecular Physics, and Optics 339
- Cellular and Molecular Neuroscience 296
Countries citing papers authored by Abhronil Sengupta
This map shows the geographic impact of Abhronil Sengupta'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 Abhronil Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhronil Sengupta more than expected).
Fields of papers citing papers by Abhronil Sengupta
This network shows the impact of papers produced by Abhronil Sengupta. 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 Abhronil Sengupta. The network helps show where Abhronil Sengupta may publish in the future.
Co-authorship network of co-authors of Abhronil Sengupta
This figure shows the co-authorship network connecting the top 25 collaborators of Abhronil Sengupta. A scholar is included among the top collaborators of Abhronil Sengupta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abhronil Sengupta. Abhronil Sengupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 38 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 166 | |
| 11 | 106 | |
| 12 | 6 | |
| 13 | 47 | |
| 14 | Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars. | 7 |
| 15 | An All-Memristor Deep Spiking Neural Network: A Step Towards Realizing the Low Power, Stochastic Brain. | 4 |
| 16 | 20 | |
| 17 | 31 | |
| 18 | 159 | |
| 19 | Simulation studies of an All-Spin Artificial Neural Network: Emulating neural and synaptic functionalities through domain wall motion in ferromagnets. | 2 |
| 20 | 46 |
About Abhronil Sengupta
Abhronil Sengupta is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (67 papers), Ferroelectric and Negative Capacitance Devices (46 papers) and Neural Networks and Reservoir Computing (16 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.8k citations), Artificial Intelligence (739 citations) and Cognitive Neuroscience (362 citations). Abhronil Sengupta has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Kaushik Roy, Aayush Ankit, Priyadarshini Panda, Gopalakrishnan Srinivasan, Yong Shim, Yusung Kim, Bing Han, Deliang Fan, Anand Raghunathan and Karthik Yogendra. Their work appears in journals such as Science, Advanced Materials and SHILAP Revista de lepidopterología.
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.