Debjyoti Bhattacharjee

957 total citations
41 papers, 599 citations indexed

About

Debjyoti Bhattacharjee is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Debjyoti Bhattacharjee has authored 41 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 11 papers in Artificial Intelligence and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Debjyoti Bhattacharjee's work include Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (20 papers) and Neuroscience and Neural Engineering (9 papers). Debjyoti Bhattacharjee is often cited by papers focused on Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (20 papers) and Neuroscience and Neural Engineering (9 papers). Debjyoti Bhattacharjee collaborates with scholars based in Singapore, Belgium and India. Debjyoti Bhattacharjee's co-authors include Anupam Chattopadhyay, Rainer Waser, Wonjoo Kim, Vikas Rana, Ronny Ronen, Shahar Kvatinsky, Rotem Ben-Hur, Ameer Haj-Ali, Diederik Verkest and Peter Debacker and has published in prestigious journals such as Scientific Reports, IEEE Journal of Solid-State Circuits and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Debjyoti Bhattacharjee

40 papers receiving 582 citations

Peers

Debjyoti Bhattacharjee

EEE

CMN

CTM

Chuan-Jia Jhang Taiwan

Je-Min Hung Taiwan

Heiner Giefers Switzerland

Nitin Rathi United States

Xiulong Wu China

Keh-Chung Wang Taiwan

Anni Lu United States

Sheng-Po Huang Taiwan

Indranil Chakraborty United States

Pravin Mane India

Chuan-Jia Jhang Taiwan

Debjyoti Bhattacharjee

593 ×1.5

EEE

118 ×1.0

91 ×0.9

CMN

85 ×1.0

22 ×0.4

CTM

Citations per year, relative to Debjyoti Bhattacharjee Debjyoti Bhattacharjee (= 1×) peers Chuan-Jia Jhang

Countries citing papers authored by Debjyoti Bhattacharjee

Since Specialization

Citations

This map shows the geographic impact of Debjyoti Bhattacharjee'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 Debjyoti Bhattacharjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debjyoti Bhattacharjee more than expected).

Fields of papers citing papers by Debjyoti Bhattacharjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debjyoti Bhattacharjee. 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 Debjyoti Bhattacharjee. The network helps show where Debjyoti Bhattacharjee may publish in the future.

Co-authorship network of co-authors of Debjyoti Bhattacharjee

This figure shows the co-authorship network connecting the top 25 collaborators of Debjyoti Bhattacharjee. A scholar is included among the top collaborators of Debjyoti Bhattacharjee 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 Debjyoti Bhattacharjee. Debjyoti Bhattacharjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bhattacharjee, Debjyoti, et al.. (2024). Analyzing GPU Energy Consumption in Data Movement and Storage. SPIRE - Sciences Po Institutional REpository. 143–151. 1 indexed citations

Mao, Rui, et al.. (2024). RTL Agent: An Agent-Based Approach for Functionally Correct HDL Generation via LLMs. 1–6.

Bhattacharjee, Debjyoti, et al.. (2024). Adaptive Block-Scaled GeMMs on Vector Processors for DNN Training at the Edge. Lirias (KU Leuven). 1–6. 1 indexed citations

Chattopadhyay, Anupam, Debjyoti Bhattacharjee, & Subhamoy Maitra. (2023). Improved Linear Decomposition of Majority and Threshold Boolean Functions. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(11). 3951–3957. 1 indexed citations

Ueyoshi, Kodai, Ioannis A. Papistas, Vikram Jain, et al.. (2022). DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC. 2022 IEEE International Solid- State Circuits Conference (ISSCC). 1–3. 49 indexed citations

Papistas, Ioannis A., Stefan Cosemans, Peter Vrancx, et al.. (2022). Dynamic Quantization Range Control for Analog-in-Memory Neural Networks Acceleration. ACM Transactions on Design Automation of Electronic Systems. 27(5). 1–21. 3 indexed citations

Bhattacharjee, Debjyoti, et al.. (2021). Design-Technology Space Exploration for Energy Efficient AiMC-Based Inference Acceleration. 1–5. 6 indexed citations

Bhattacharjee, Debjyoti, Anirban Majumder, & Anupam Chattopadhyay. (2021). In-memory realization of SHA-2 using ReVAMP architecture. 14. 47–53. 1 indexed citations

Rai, Shubham, Mengyun Liu, Anteneh Gebregiorgis, et al.. (2021). Perspectives on Emerging Computation-in-Memory Paradigms. 1925–1934. 9 indexed citations

10.

Cosemans, Stefan, Linyan Mei, Ioannis A. Papistas, et al.. (2020). Opportunities and Limitations of Emerging Analog in-Memory Compute DNN Architectures. Lirias (KU Leuven). 29.1.1–29.1.4. 19 indexed citations

11.

Ben-Hur, Rotem, et al.. (2019). SIMPLER MAGIC: Synthesis and Mapping of In-Memory Logic Executed in a Single Row to Improve Throughput. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(10). 2434–2447. 76 indexed citations

12.

Bhattacharjee, Debjyoti, et al.. (2019). SAID: A Supergate-Aided Logic Synthesis Flow for Memristive Crossbars. 372–377. 12 indexed citations

13.

Bhattacharjee, Debjyoti, et al.. (2019). Accelerating Binary-Matrix Multiplication on FPGA. 254–259. 2 indexed citations

14.

Bhattacharjee, Debjyoti, Abdullah Ash Saki, Mahabubul Alam, Anupam Chattopadhyay, & Swaroop Ghosh. (2019). MUQUT: Multi-Constraint Quantum Circuit Mapping on NISQ Computers: Invited Paper. 1–7. 22 indexed citations

15.

Bhattacharjee, Debjyoti, Wonjoo Kim, Anupam Chattopadhyay, Rainer Waser, & Vikas Rana. (2018). Multi-valued and Fuzzy Logic Realization using TaOx Memristive Devices. Scientific Reports. 8(1). 8–8. 140 indexed citations

16.

Bhattacharjee, Debjyoti, et al.. (2018). Floating Point Multiplication Mapping on ReRAM Based In-memory Computing Architecture. 4 indexed citations

17.

Bhattacharjee, Debjyoti, et al.. (2018). Quantum circuits for Toom-Cook multiplication. Physical review. A. 98(1). 17 indexed citations

18.

Bhattacharjee, Debjyoti & Anupam Chattopadhyay. (2017). Efficient Binary Basic Linear Algebra Operations on ReRAM Crossbar Arrays. 277–282. 6 indexed citations

19.

Bhattacharjee, Debjyoti & Paheli Bhattacharya. (2016). Ensemble classifier based approach for code-mixed cross-script question classification. DR-NTU (Nanyang Technological University). 119–121. 1 indexed citations

20.

Bhattacharjee, Debjyoti, Anne Siemon, Eike Linn, Stephan Menzel, & Anupam Chattopadhyay. (2016). Efficient implementation of multiplexer and priority multiplexer using 1S1R ReRAM crossbar arrays. 1–4. 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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