Vijay Chandru

34 papers receiving 432 citations

Peers

Vijay Chandru
Comparison fields: 5 of 114
  • Artificial Intelligence 104
  • Computational Theory and Mathematics 93
  • Industrial and Manufacturing Engineering 74
  • Electrical and Electronic Engineering 69
  • Computer Networks and Communications 65
Replace Hee-Kap Ahn with:
Hee-Kap Ahn South Korea
Joseph Czyzyk United States
Charles Newton Australia
Der‐San Chen United States
John H. Drake United Kingdom
Daniel Scholz Germany
Fabrizio Rossi Italy
Yipeng Wang China
Marco Antonio Boschetti Italy
Hong‐Fei Teng China
Vijay Chandru relative to Hee-Kap Ahn South Korea Hee-Kap Ahn's profile →
Citations per field
00.5×10×13.8×
Hee-Kap Ahn · 1×
Citations per year

Countries citing papers authored by Vijay Chandru

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Chandru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Chandru

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Chandru. A scholar is included among the top collaborators of Vijay Chandru 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 Vijay Chandru. Vijay Chandru 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
#WorkIndexed citations
1 1
2 0
3 1
4 6
5 0
6 16
7 2
8 1
9 11
10 4
11 0
12 15
13 29
14 1
15 18
16 0
17 76
18 1
19 1
20
Proceedings of the 16th Conference on Foundations of Software Technology and Theoretical Computer Science
2

About Vijay Chandru

Vijay Chandru is a scholar working on Computer Graphics and Computer-Aided Design, Business and International Management and Health Information Management, having authored 41 papers that have together received 475 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Advanced Graph Theory Research (4 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (47 citations), Industrial and Manufacturing Engineering (74 citations) and Computational Theory and Mathematics (93 citations). Vijay Chandru has collaborated with scholars based in India, United States and Norway. Frequent co-authors include John Hooker, P. Balachandra, M. R. Rao, M. Mathirajan, A. Sivakumar, Vijay Kumar, Sharada Srinivasan, Santanu Chaudhury, Anshumali Shrivastava and Duraiswamy Navaneetham. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Energy Conversion and Management.

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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