Priyan Vaithilingam

871 citations
10 papers · 527 · 2 hit papers · h-index 8

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Software top 5%
    • Software Testing and Debugging Techniques

Papers in

Priyan Vaithilingam

10 papers receiving 507 citations

Priyan Vaithilingam's Hit Papers

ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing 2024 · 53 citations
530+1+2Years since publication100200300

Peers

Priyan Vaithilingam
Comparison fields: 5 of 60
  • Health Informatics 49
  • Software 94
  • Computer Science Applications 107
  • Human Factors and Ergonomics 35
  • Information Systems 201
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Citations per year

Countries citing papers authored by Priyan Vaithilingam

Since Specialization
Citations

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

Fields of papers citing papers by Priyan Vaithilingam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Priyan Vaithilingam, 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 Priyan Vaithilingam Line = papers co-authored together Priyan Vaithilingam links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models
Hit paper breakdown →
2022321
2
ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing
Hit paper breakdown →
202453
3 201853
4 202427
5 201918
6 202116
7 202414
8 202311
9 20237
10 20217

About Priyan Vaithilingam

Priyan Vaithilingam is a scholar working on Information Systems, Human-Computer Interaction, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 10 papers that have together received 527 indexed citations. Recurring topics across this work include Software Engineering Research (7 papers), Software Testing and Debugging Techniques (2 papers), Software Engineering Techniques and Practices (2 papers), Software System Performance and Reliability (2 papers), Data Visualization and Analytics (2 papers), Topic Modeling (2 papers), Design Education and Practice (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Health Informatics (49 citations), Software (94 citations), Computer Science Applications (107 citations), Human Factors and Ergonomics (35 citations) and Information Systems (201 citations). Priyan Vaithilingam has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Elena L. Glassman, Tianyi Zhang, Ian Arawjo, Martin Wattenberg, Venkatesh Potluri, Philip J. Guo, Manohar Swaminathan, Jeevana Priya Inala, Ziyang Chen and Xinyu Wang. Their work appears in journals such as Designing Interactive Systems Conference and CHI Conference on Human Factors in Computing Systems Extended Abstracts.

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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