Gourav Datta

452 total citations
25 papers, 233 citations indexed

About

Gourav Datta is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Gourav Datta has authored 25 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Cognitive Neuroscience. Recurrent topics in Gourav Datta's work include Advanced Memory and Neural Computing (16 papers), CCD and CMOS Imaging Sensors (11 papers) and Neural dynamics and brain function (6 papers). Gourav Datta is often cited by papers focused on Advanced Memory and Neural Computing (16 papers), CCD and CMOS Imaging Sensors (11 papers) and Neural dynamics and brain function (6 papers). Gourav Datta collaborates with scholars based in United States and India. Gourav Datta's co-authors include Peter A. Beerel, Souvik Kundu, Massoud Pedram, Akhilesh Jaiswal, Ajey P. Jacob, Souvik Kundu, Nitin Chandrachoodan, Shih‐Fu Chang, Vivek Yadav and Pradeep Natarajan and has published in prestigious journals such as Scientific Reports, Frontiers in Neuroscience and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Gourav Datta

23 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gourav Datta United States	9	168	71	67	37	28	25	233
Man Yao China	7	274 1.6×	175 2.5×	127 1.9×	41 1.1×	37 1.3×	15	366
Dingheng Wang China	9	136 0.8×	91 1.3×	116 1.7×	88 2.4×	17 0.6×	15	304
Adarsh Kumar Kosta United States	8	167 1.0×	69 1.0×	79 1.2×	24 0.6×	21 0.8×	18	222
Hyunsurk Ryu South Korea	10	247 1.5×	60 0.8×	34 0.5×	66 1.8×	57 2.0×	18	348
Simeon A. Bamford Italy	8	171 1.0×	104 1.5×	41 0.6×	36 1.0×	105 3.8×	16	252
Jianbiao Xiao China	7	161 1.0×	120 1.7×	62 0.9×	11 0.3×	48 1.7×	16	317
Diederik Paul Moeys Switzerland	8	208 1.2×	59 0.8×	38 0.6×	83 2.2×	52 1.9×	13	299
Jianhao Ding China	6	325 1.9×	220 3.1×	128 1.9×	25 0.7×	62 2.2×	19	388
Amar Shrestha United States	10	233 1.4×	120 1.7×	97 1.4×	13 0.4×	67 2.4×	16	271
Shasha Guo China	9	196 1.2×	74 1.0×	93 1.4×	43 1.2×	49 1.8×	24	267

Countries citing papers authored by Gourav Datta

Since Specialization

Citations

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

Fields of papers citing papers by Gourav Datta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gourav Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Gourav Datta. A scholar is included among the top collaborators of Gourav Datta 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 Gourav Datta. Gourav Datta 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

Datta, Gourav, Zeyu Liu, Anni Li, & Peter A. Beerel. (2025). Dynamic SpikFormer: Low-Latency & Energy-Efficient Spiking Neural Networks with Dynamic Time Steps for Vision Transformers. 1–5. 1 indexed citations

Datta, Gourav, et al.. (2025). MaskVD: Region Masking for Efficient Video Object Detection. 1955–1964. 2 indexed citations

Datta, Gourav, et al.. (2024). Let's Roll: A Synthetic and Real Dataset for Pedestrian Detection Across Different Shutter Types. 113–118. 1 indexed citations

Datta, Gourav, et al.. (2024). Toward High-Accuracy, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ. 1–6. 1 indexed citations

Datta, Gourav, Zeyu Liu, & Peter A. Beerel. (2024). Training Ultra-Low-Latency Spiking Neural Networks from Scratch. 13046–13050. 1 indexed citations

Datta, Gourav, et al.. (2023). Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors. Frontiers in Neuroinformatics. 17. 1144301–1144301. 8 indexed citations

Datta, Gourav, et al.. (2023). Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence. 1–5.

Datta, Gourav, et al.. (2023). ViTA: A Vision Transformer Inference Accelerator for Edge Applications. 1–5. 24 indexed citations

Datta, Gourav, et al.. (2023). Glaucoma Disease Detection Using Deep Learning. 1–6. 3 indexed citations

10.

Datta, Gourav, et al.. (2023). Self-Attentive Pooling for Efficient Deep Learning. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3963–3972. 9 indexed citations

11.

Datta, Gourav, et al.. (2023). Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency. 1–6. 2 indexed citations

12.

Kundu, Souvik, et al.. (2023). FireFly: A Synthetic Dataset for Ember Detection in Wildfire. 3767–3771. 3 indexed citations

13.

Datta, Gourav, et al.. (2023). Enabling ISPless Low-Power Computer Vision. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2429–2438. 3 indexed citations

14.

Datta, Gourav, et al.. (2022). A processing-in-pixel-in-memory paradigm for resource-constrained TinyML applications. Scientific Reports. 12(1). 14396–14396. 21 indexed citations

15.

Datta, Gourav, Souvik Kundu, Akhilesh Jaiswal, & Peter A. Beerel. (2022). ACE-SNN: Algorithm-Hardware Co-design of Energy-Efficient & Low-Latency Deep Spiking Neural Networks for 3D Image Recognition. Frontiers in Neuroscience. 16. 815258–815258. 22 indexed citations

16.

Datta, Gourav, et al.. (2022). Asd-Transformer: Efficient Active Speaker Detection Using Self And Multimodal Transformers. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 4568–4572. 12 indexed citations

17.

Datta, Gourav & Peter A. Beerel. (2022). Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). 718–723. 29 indexed citations

18.

Datta, Gourav, et al.. (2021). Metastability in Superconducting Single Flux Quantum (SFQ) Logic. IEEE Transactions on Circuits and Systems I Regular Papers. 68(5). 1990–2002. 4 indexed citations

19.

Datta, Gourav, et al.. (2020). Single Flux Quantum (SFQ) First-in-First-Out (FIFO) Synchronizers: New Designs and Paradigms. IEEE Transactions on Applied Superconductivity. 30(7). 1–8. 1 indexed citations

20.

Datta, Gourav, et al.. (2019). qCDC: Metastability-Resilient Synchronization FIFO for SFQ Logic. 1–3. 5 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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