Sudarshan Vijay

2.1k citations
26 papers · 1.7k indexed · 2 hit papers · h-index 14

Sudarshan Vijay

26 papers receiving 1.7k citations

Hit Papers

Unified mechanistic understanding of CO2 reduction to CO ...3092021202620222024100200300

Peers

Sudarshan Vijay
Comparison fields: 5 of 52
  • Renewable Energy, Sustainability and the Environment 1.2k
  • Catalysis 453
  • Electrochemistry 245
  • Process Chemistry and Technology 81
  • Materials Chemistry 654
Replace Soonho Kwon with:
Soonho Kwon United States
Hendrik H. Heenen Germany
Sneha A. Akhade United States
Daniel A. Torelli United States
Marko Melander Finland
Amber Walton United States
Manuel J. Kolb Spain
Laurie A. King United States
Ya-Hui Fang China
Botao Huang United States
Sudarshan Vijay relative to Soonho Kwon United States Soonho Kwon's profile →
Citations per field
00.5×1.7×
Soonho Kwon · 1×
Citations per year

Countries citing papers authored by Sudarshan Vijay

Since Specialization
Citations

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

Fields of papers citing papers by Sudarshan Vijay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sudarshan Vijay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sudarshan Vijay Line = papers co-authored together Sudarshan Vijay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202411
3 202411
4 20246
5 202417
6 20231
7 202315
8 20237
9 202326
10 202262
11 202211
12 2022157
13 202287
14 20227
15
Unified mechanistic understanding of CO2 reduction to CO on transition metal and single atom catalystsbreakdown →
2021309
16 20216
17 202111
18 2020134
19 2020211
20 2019120

About Sudarshan Vijay

Sudarshan Vijay is a scholar working on Renewable Energy, Sustainability and the Environment, Electrochemistry and Catalysis, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (12 papers), CO2 Reduction Techniques and Catalysts (11 papers), Machine Learning in Materials Science (7 papers), Electrochemical Analysis and Applications (6 papers), Catalytic Processes in Materials Science (4 papers), Ionic liquids properties and applications (4 papers), Advanced Chemical Physics Studies (4 papers) and Advanced battery technologies research (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.2k citations), Catalysis (453 citations) and Electrochemistry (245 citations). Sudarshan Vijay has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Karen Chan, Hendrik H. Heenen, Georg Kastlunger, Wen Ju, Peter Strasser, Sven Brückner, Joseph A. Gauthier, Jens K. Nørskov, Nicholas Oliveira and Xiaoxia Chang. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry Letters, Physical Chemistry Chemical Physics, Chemical Science and ACS Catalysis.

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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