Bhaswar Chakrabarti

1.4k total citations · 1 hit paper
41 papers, 1.1k citations indexed

About

Bhaswar Chakrabarti is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Polymers and Plastics. According to data from OpenAlex, Bhaswar Chakrabarti has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Polymers and Plastics. Recurrent topics in Bhaswar Chakrabarti's work include Advanced Memory and Neural Computing (33 papers), Ferroelectric and Negative Capacitance Devices (26 papers) and Semiconductor materials and devices (13 papers). Bhaswar Chakrabarti is often cited by papers focused on Advanced Memory and Neural Computing (33 papers), Ferroelectric and Negative Capacitance Devices (26 papers) and Semiconductor materials and devices (13 papers). Bhaswar Chakrabarti collaborates with scholars based in United States, India and Germany. Bhaswar Chakrabarti's co-authors include Dmitri B. Strukov, M. Prezioso, F. Merrikh Bayat, Irina Kataeva, Hussein Nili, Eric M. Vogel, Gina C. Adam, Brian D. Hoskins, Farnood Merrikh-Bayat and Tania Roy and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Bhaswar Chakrabarti

39 papers receiving 1.0k citations

Hit Papers

Implementation of multilayer perceptron network with high... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bhaswar Chakrabarti United States 15 979 348 203 122 108 41 1.1k
YeonJoo Jeong South Korea 21 1.2k 1.2× 539 1.5× 173 0.9× 188 1.5× 159 1.5× 58 1.4k
Changhyuck Sung South Korea 14 854 0.9× 340 1.0× 151 0.7× 96 0.8× 162 1.5× 21 871
Alessandro Fumarola Switzerland 10 1.0k 1.1× 328 0.9× 158 0.8× 226 1.9× 145 1.3× 11 1.1k
Yaxiong Zhou China 19 1.1k 1.1× 535 1.5× 161 0.8× 116 1.0× 170 1.6× 24 1.2k
Qi Qin China 11 754 0.8× 225 0.6× 153 0.8× 115 0.9× 90 0.8× 39 826
I‐Ting Wang Taiwan 17 1.2k 1.2× 497 1.4× 156 0.8× 160 1.3× 172 1.6× 44 1.3k
Elia Ambrosi Italy 17 1.3k 1.4× 547 1.6× 215 1.1× 164 1.3× 209 1.9× 34 1.4k
Jiaming Zhang China 6 1.2k 1.3× 518 1.5× 102 0.5× 207 1.7× 133 1.2× 23 1.3k
Spyros Stathopoulos United Kingdom 14 863 0.9× 392 1.1× 107 0.5× 81 0.7× 120 1.1× 59 946
Alessandro Bricalli Italy 17 1.3k 1.3× 519 1.5× 192 0.9× 178 1.5× 201 1.9× 32 1.4k

Countries citing papers authored by Bhaswar Chakrabarti

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Kumar, Gautham, et al.. (2025). Trapping Dynamics and Endurance in HfO 2 -FeFETs: An Insight From Charge Pumping. IEEE Electron Device Letters. 46(11). 2014–2017.
2.
Pande, Sandeep Dwarkanath, et al.. (2025). Leveraging Capacitance Modulation of ReRAM for CMOS-ReRAM Image Sensor. IRIS UNIMORE (University of Modena and Reggio Emilia). 1–2.
3.
Pande, Sandeep Dwarkanath, Yannick Raffel, Maximilian Lederer, et al.. (2024). FeFET based LIF Neuron with Learnable Threshold and Time Constant. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–2. 1 indexed citations
4.
Lederer, Maximilian, Yannick Raffel, Luca Pirro, et al.. (2024). Spike-Time Dependent Plasticity in HfO₂-Based Ferroelectric FET Synapses. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–3. 1 indexed citations
5.
Lederer, Maximilian, Yannick Raffel, Franz Müller, et al.. (2024). Ferroelectric Field Effect Transistors–Based Content‐Addressable Storage‐Class Memory: A Study on the Impact of Device Variation and High‐Temperature Compatibility. SHILAP Revista de lepidopterología. 6(4). 5 indexed citations
6.
Misra, Abhishek, et al.. (2024). Memristive Dendritic Device with a Chemical Vapor-Deposited Monolayer MoS2 Film. ACS Applied Electronic Materials. 6(2). 1299–1307. 3 indexed citations
7.
Chakrabarti, Bhaswar, et al.. (2024). Thermal Crosstalk Analysis in ReRAM Passive Crossbar Arrays. 390–395. 1 indexed citations
8.
Müller, Franz, Yannick Raffel, Maximilian Lederer, et al.. (2023). Fixed charges at the HfO 2 /SiO2 interface: Impact on the memory window of FeFET. SHILAP Revista de lepidopterología. 4. 100050–100050. 2 indexed citations
9.
Pradhan, Nihar, Bhaswar Chakrabarti, Daniel Rosenmann, et al.. (2023). Insulator-to-metal phase transition in a few-layered MoSe2 field effect transistor. Nanoscale. 15(6). 2667–2673. 3 indexed citations
10.
Chakrabarti, Bhaswar, et al.. (2023). A physics-based compact model of thermal resistance in RRAMs. Solid-State Electronics. 204. 108636–108636. 4 indexed citations
11.
Raffel, Yannick, Franz Müller, Maximilian Lederer, et al.. (2023). 28 nm high-k-metal gate ferroelectric field effect transistors based synapses — A comprehensive overview. SHILAP Revista de lepidopterología. 4. 100048–100048. 6 indexed citations
12.
Chakrabarti, Bhaswar, et al.. (2023). Coexistence of Interfacial and Filamentary Resistance Switching in Ti/SiO x /Au Resistive Memory Devices. IEEE Transactions on Electron Devices. 70(10). 5421–5427. 6 indexed citations
13.
Lehninger, David, Shawn Sanctis, Yannick Raffel, et al.. (2023). Ferroelectric Content-Addressable Memory Cells with IGZO Channel: Impact of Retention Degradation on the Multibit Operation. ACS Applied Electronic Materials. 5(2). 812–820. 15 indexed citations
14.
Sonde, Sushant, Bhaswar Chakrabarti, Yuzi Liu, et al.. (2018). Silicon compatible Sn-based resistive switching memory. Nanoscale. 10(20). 9441–9449. 28 indexed citations
15.
Adam, Gina C., Brian D. Hoskins, M. Prezioso, et al.. (2016). Highly-uniform multi-layer ReRAM crossbar circuits. 436–439. 6 indexed citations
16.
Roy, Tania, Lei Liu, Sergio C. de la Barrera, et al.. (2014). Tunneling characteristics in chemical vapor deposited graphene–hexagonal boron nitride–graphene junctions. Applied Physics Letters. 104(12). 46 indexed citations
17.
Joiner, Corey A., Tania Roy, Z. Razavi Hesabi, Bhaswar Chakrabarti, & Eric M. Vogel. (2014). Cleaning graphene with a titanium sacrificial layer. Applied Physics Letters. 104(22). 30 indexed citations
18.
Chakrabarti, Bhaswar & Eric M. Vogel. (2013). Effect of Ti doping and annealing on multi-level forming-free resistive random access memories with atomic layer deposited HfTiOx nanolaminate. Microelectronic Engineering. 109. 193–196. 8 indexed citations
19.
Chakrabarti, Bhaswar, Rohit Galatage, & Eric M. Vogel. (2013). Multilevel Switching in Forming-Free Resistive Memory Devices With Atomic Layer Deposited ${\rm HfTiO}_{x}$ Nanolaminate. IEEE Electron Device Letters. 34(7). 867–869. 31 indexed citations
20.
Mandal, Sudip, Bhaswar Chakrabarti, & Debashis Saha. (2004). Neural network and statistical models for pre-diction of financial health of an organization. 2. 336–341. 1 indexed citations

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.

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