Sankar Jayaram

1.6k citations
53 papers · 1.1k · h-index 16

Impact in

Papers in

Sankar Jayaram

51 papers receiving 978 citations

Peers

Sankar Jayaram
Comparison fields: 5 of 86
  • Industrial and Manufacturing Engineering 697
  • Human-Computer Interaction 192
  • Computer Vision and Pattern Recognition 305
  • Automotive Engineering 177
  • Building and Construction 139
Replace Uma Jayaram with:
Uma Jayaram United States
Xiumin Fan China
Fabio Pini Italy
Xiaoliang Bai China
Terje K. Lien Norway
T. Szécsi Ireland
André Crosnier France
Luis Pérez Spain
Uli Bockholt Germany
Germano Veiga Portugal
Sankar Jayaram relative to Uma Jayaram United States Uma Jayaram's profile →
Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by Sankar Jayaram

Since Specialization
Citations

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

Fields of papers citing papers by Sankar Jayaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sankar Jayaram, 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 Sankar Jayaram Line = papers co-authored together Sankar Jayaram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997293
2 1999200
3 200165
4 200662
5 200352
6 200735
7 200333
8 199232
9 199524
10 200321
11 200420
12 200420
13 198818
14 200016
15 200116
16 200915
17 200013
18 200013
19 20059
20 20048

About Sankar Jayaram

Sankar Jayaram is a scholar working on Industrial and Manufacturing Engineering, Computational Mechanics, Control and Systems Engineering, Social Psychology and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (35 papers), Ergonomics and Musculoskeletal Disorders (8 papers), 3D Shape Modeling and Analysis (7 papers), Simulation and Modeling Applications (6 papers), Additive Manufacturing and 3D Printing Technologies (6 papers), Virtual Reality Applications and Impacts (5 papers), Advanced Numerical Analysis Techniques (5 papers) and Augmented Reality Applications (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (697 citations), Human-Computer Interaction (192 citations), Computer Vision and Pattern Recognition (305 citations), Automotive Engineering (177 citations) and Building and Construction (139 citations). Sankar Jayaram has collaborated with scholars based in United States, Egypt and Japan. Frequent co-authors include Kevin W. Lyons, Uma Jayaram, Peter E. Hart, Yong Wang, Craig Palmer, Paul Gelhausen, Hari Srinivasan, Rajit Gadh, Judy M. Vance and Youngjun Kim. Their work appears in journals such as Computer-Aided Design, Journal of Computing and Information Science in Engineering, Virtual Reality, IEEE Computer Graphics and Applications and Computers in Industry.

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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