Vidya Setlur

1.9k citations
70 papers · 1.3k indexed · h-index 20

Impact in

Papers in

Vidya Setlur

67 papers receiving 1.2k citations

Peers

Vidya Setlur
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 879
  • Human-Computer Interaction 227
  • Information Systems and Management 90
  • Artificial Intelligence 367
  • Signal Processing 89
Replace Younah Kang with:
Younah Kang South Korea
Fanny Chevalier Canada
Anastasia Bezerianos France
Matthew Brehmer United States
Marian Dörk Germany
Akrivi Katifori Greece
James Eagan France
Lane Harrison United States
Bongshin Lee United States
Vidya Setlur relative to Younah Kang South Korea Younah Kang's profile →
Citations per field
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Younah Kang · 1×
Citations per year

Countries citing papers authored by Vidya Setlur

Since Specialization
Citations

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

Fields of papers citing papers by Vidya Setlur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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17 202234
18 20224
19
Exploring Synergies between Visual Analytical Flow and Language Pragmatics.
20173
20 200846

About Vidya Setlur

Vidya Setlur is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Information Systems and Management, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (27 papers), Video Analysis and Summarization (16 papers), Image Retrieval and Classification Techniques (12 papers), Advanced Text Analysis Techniques (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Semantic Web and Ontologies (9 papers), Interactive and Immersive Displays (6 papers) and Usability and User Interface Design (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (879 citations), Human-Computer Interaction (227 citations), Information Systems and Management (90 citations), Artificial Intelligence (367 citations) and Signal Processing (89 citations). Vidya Setlur has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Melanie Tory, Bruce Gooch, Maureen Stone, Ramesh Raskar, Michael Gleicher, Anne Lynn S. Chang, Sarah E. Battersby, Rich Gossweiler, Justin Talbot and Anushka Anand. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Cartography and Geographic Information Science, IEEE Computer Graphics and Applications and Scholar Works (Boise State University).

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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