Bhaswar Chakrabarti
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 5%
- Materials Chemistry
- Artificial Intelligence top 10%
- Polymers and Plastics top 10%
- Co-authors
- Dmitri B. StrukovM. PreziosoF. Merrikh BayatIrina KataevaHussein NiliEric M. VogelBrian D. HoskinsGina C. Adam
- Topics
- Advanced Memory and Neural Computing (33 papers)Ferroelectric and Negative Capacitance Devices (26 papers)Semiconductor materials and devices (13 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Journals
- Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Bhaswar Chakrabarti
39 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Electrical and Electronic Engineering 979
- Cellular and Molecular Neuroscience 348
- Materials Chemistry 203
- Artificial Intelligence 122
- Polymers and Plastics 108
Countries citing papers authored by Bhaswar Chakrabarti
This map shows the geographic impact of Bhaswar Chakrabarti'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 Bhaswar Chakrabarti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bhaswar Chakrabarti more than expected).
Fields of papers citing papers by Bhaswar Chakrabarti
This network shows the impact of papers produced by Bhaswar Chakrabarti. 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 Bhaswar Chakrabarti. The network helps show where Bhaswar Chakrabarti may publish in the future.
Co-authorship network of co-authors of Bhaswar Chakrabarti
This figure shows the co-authorship network connecting the top 25 collaborators of Bhaswar Chakrabarti. A scholar is included among the top collaborators of Bhaswar Chakrabarti 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 Bhaswar Chakrabarti. Bhaswar Chakrabarti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuitsbreakdown → | 299 |
| 15 | 6 | |
| 16 | 46 | |
| 17 | 8 | |
| 18 | 31 | |
| 19 | 73 | |
| 20 | 1 |
About Bhaswar Chakrabarti
Bhaswar Chakrabarti is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (33 papers), Ferroelectric and Negative Capacitance Devices (26 papers) and Semiconductor materials and devices (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (348 citations), Electrical and Electronic Engineering (979 citations) and Polymers and Plastics (108 citations). Bhaswar Chakrabarti has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Dmitri B. Strukov, M. Prezioso, F. Merrikh Bayat, Irina Kataeva, Hussein Nili, Eric M. Vogel, Brian D. Hoskins, Gina C. Adam, Farnood Merrikh-Bayat and Tania Roy. Their work appears in journals such as Advanced Materials, Nature Communications 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.