Vikram Jain

516 total citations
23 papers, 264 citations indexed

About

Vikram Jain is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vikram Jain has authored 23 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 10 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vikram Jain's work include CCD and CMOS Imaging Sensors (7 papers), Advanced Memory and Neural Computing (7 papers) and Mobile Ad Hoc Networks (4 papers). Vikram Jain is often cited by papers focused on CCD and CMOS Imaging Sensors (7 papers), Advanced Memory and Neural Computing (7 papers) and Mobile Ad Hoc Networks (4 papers). Vikram Jain collaborates with scholars based in Belgium, United States and India. Vikram Jain's co-authors include Marian Verhelst, Juan Sebastian Piedrahita Giraldo, Linyan Mei, Qilin Zheng, Arindam Mallik, Peter Debacker, Ioannis A. Papistas, Debjyoti Bhattacharjee, Diederik Verkest and Kodai Ueyoshi and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Computers and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Vikram Jain

17 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikram Jain Belgium 8 169 83 70 66 47 23 264
Linyan Mei Belgium 9 187 1.1× 122 1.5× 83 1.2× 53 0.8× 66 1.4× 17 300
Jon J. Pimentel United States 6 158 0.9× 136 1.6× 80 1.1× 86 1.3× 85 1.8× 8 303
Guy Boudoukh Israel 3 161 1.0× 154 1.9× 78 1.1× 55 0.8× 87 1.9× 3 296
Joonho Song South Korea 7 179 1.1× 105 1.3× 106 1.5× 88 1.3× 65 1.4× 16 311
Biresh Kumar Joardar United States 12 230 1.4× 80 1.0× 89 1.3× 101 1.5× 103 2.2× 39 332
N. Ramasubramanian India 9 72 0.4× 59 0.7× 57 0.8× 76 1.2× 72 1.5× 59 244
Xiaoyang Zeng China 10 122 0.7× 73 0.9× 42 0.6× 50 0.8× 78 1.7× 77 300
Paolo Zicari Italy 11 162 1.0× 79 1.0× 70 1.0× 39 0.6× 28 0.6× 28 264
Mostafa E. Salehi Iran 10 209 1.2× 52 0.6× 149 2.1× 138 2.1× 57 1.2× 57 355

Countries citing papers authored by Vikram Jain

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikram Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Vikram Jain. A scholar is included among the top collaborators of Vikram Jain 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 Vikram Jain. Vikram Jain 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
2.
Jain, Vikram, Jerry Zhao, Kevin Anderson, et al.. (2025). Cygnus: A 1 GHz Heterogeneous Octa-Core RISC-V Vector Processor for DSP. 1–3.
4.
Jain, Vikram, et al.. (2024). Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge. ArXiv.org. 1–5. 3 indexed citations
5.
Jain, Vikram, et al.. (2023). TinyVers: A Tiny Versatile System-on-Chip With State-Retentive eMRAM for ML Inference at the Extreme Edge. IEEE Journal of Solid-State Circuits. 58(8). 2360–2371. 26 indexed citations
6.
Jain, Vikram & Marian Verhelst. (2023). Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning. Lirias (KU Leuven).
7.
Jain, Vikram, Matheus Cavalcante, Thomas Benz, et al.. (2023). PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge. Lirias (KU Leuven). 1–6. 2 indexed citations
8.
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
9.
Jain, Vikram, Kodai Ueyoshi, Ioannis A. Papistas, et al.. (2022). DIANA: An End-to-End Hybrid DIgital and ANAlog Neural Network SoC for the Edge. IEEE Journal of Solid-State Circuits. 58(1). 203–215. 39 indexed citations
10.
Giraldo, Juan Sebastian Piedrahita, Vikram Jain, & Marian Verhelst. (2021). Efficient Execution of Temporal Convolutional Networks for Embedded Keyword Spotting. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 29(12). 2220–2228. 9 indexed citations
11.
Jain, Vikram, Linyan Mei, & Marian Verhelst. (2021). Analyzing the Energy-Latency-Area-Accuracy Trade-off Across Contemporary Neural Networks. Lirias (KU Leuven). 1–4. 1 indexed citations
12.
Mei, Linyan, et al.. (2021). ZigZag: Enlarging Joint Architecture-Mapping Design Space Exploration for DNN Accelerators. IEEE Transactions on Computers. 70(8). 1160–1174. 78 indexed citations
13.
Jain, Vikram, et al.. (2021). Enabling real-time object detection on low cost FPGAs. Journal of Real-Time Image Processing. 19(1). 217–229. 7 indexed citations
14.
Jain, Vikram, et al.. (2020). Variable-Rate VLSI Architecture for 400-Gb/s Hard-Decision Product Decoder. IEEE Transactions on Circuits and Systems I Regular Papers. 68(1). 25–34.
15.
Jain, Vikram, et al.. (2019). Barcode Detection using OpenCV-Python. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
16.
Jain, Vikram, et al.. (2019). Variable-Rate FEC Decoder VLSI Architecture for 400G Rate-Adaptive Optical Communication. Chalmers Research (Chalmers University of Technology). 45–48. 3 indexed citations
17.
Jain, Vikram, et al.. (2013). Survey of Adaptive On Demand Distance Vector Learning Protocol (AODV). 2 indexed citations
18.
Jain, Vikram, et al.. (2011). Performance Degradation of IEEE 802.11 MANET due to Heavy Increase and Heavy Decrease in Contention Window. International Journal of Computer Applications. 20(6). 26–32. 1 indexed citations
19.
Jain, Vikram, et al.. (2011). Distributed Denial Of Service Attacks In Mobile Adhoc Networks. Zenodo (CERN European Organization for Nuclear Research). 5(1). 91–93. 7 indexed citations
20.
Jain, Vikram, et al.. (2007). Performance study of IMS signaling plane. 1–5. 4 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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