Vikas Chandra

9.1k total citations · 5 hit papers
120 papers, 4.1k citations indexed

About

Vikas Chandra is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vikas Chandra has authored 120 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Electrical and Electronic Engineering, 27 papers in Hardware and Architecture and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vikas Chandra's work include Low-power high-performance VLSI design (31 papers), Semiconductor materials and devices (28 papers) and Advancements in Semiconductor Devices and Circuit Design (26 papers). Vikas Chandra is often cited by papers focused on Low-power high-performance VLSI design (31 papers), Semiconductor materials and devices (28 papers) and Advancements in Semiconductor Devices and Circuit Design (26 papers). Vikas Chandra collaborates with scholars based in United States, India and United Kingdom. Vikas Chandra's co-authors include Fraydoon Rastinejad, Pengxiang Huang, Robert Aitken, Yu Cao, Naveen Suda, Srilatha Raghuram, Yongjun Wang, Thomas P. Burris, Lora Hamuro and Liangzhen Lai and has published in prestigious journals such as Nature, Chemical Reviews and Journal of Biological Chemistry.

In The Last Decade

Vikas Chandra

109 papers receiving 4.0k citations

Hit Papers

Structure of the intact PPAR-γ–RXR-α nuclear receptor com... 2008 2026 2014 2020 2008 2016 2018 2022 2024 200 400 600

Peers

Vikas Chandra
Comparison fields: 5 of 160
  • Electrical and Electronic Engineering 1.5k
  • Molecular Biology 1.1k
  • Computer Vision and Pattern Recognition 877
  • Genetics 597
  • Artificial Intelligence 583
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Jan F. Prins United States
Katsuki Fujisawa Japan
Francisco Tirado Spain
Jiajing Chen China View profile →
Citations per field, relative to Vikas Chandra
Vikas Chandra · 1×
Citations per year, relative to Vikas Chandra
Vikas Chandra · 1×

Countries citing papers authored by Vikas Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Chandra

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Chandra. A scholar is included among the top collaborators of Vikas Chandra 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 Vikas Chandra. Vikas Chandra 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
# Work Indexed citations
1 0
2 0
3 46
4 2
5 3
6 7
7
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation breakdown →
167
8
Improve Vision Transformers Training by Suppressing Over-smoothing
15
9
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference
5
10 24
11 63
12
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network breakdown →
344
13
PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training with A Fine-Grained Privacy Control.
9
14 67
15
Effect of integrated application of chemical fertilizers, organics and biofertilizers on growth, yield and quality of guava.
1
16 50
17 154
18 24
19 11
20 27

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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