Sumith Kulal

2.0k citations
8 papers · 45 · h-index 4

Impact in

Papers in

Journals
ACM SIGPLAN Notices (1 paper)Formal Methods in System Design (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)

In The Last Decade

Sumith Kulal

7 papers receiving 45 citations

Peers

Sumith Kulal
Comparison fields: 5 of 20
  • Acoustics and Ultrasonics 1
  • Software 4
  • Computer Vision and Pattern Recognition 18
  • Computer Graphics and Computer-Aided Design 3
  • Artificial Intelligence 21
Replace Vitaly Kurin with:
Vitaly Kurin United Kingdom
Daniel W. Stouch United States
Gary Bécigneul Switzerland
Valerio Perrone United Kingdom
Jan Leike Australia
Daniel Fišer Czechia
Georg Nührenberg Germany
Léonard Hussenot United States
Harris Chan Canada
Alex Ozdemir United States
Sumith Kulal relative to Vitaly Kurin United Kingdom Vitaly Kurin's profile →
Citations per field
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Vitaly Kurin · 1×
Citations per year

Countries citing papers authored by Sumith Kulal

Since Specialization
Citations

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

Fields of papers citing papers by Sumith Kulal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Sumith Kulal, 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 Sumith Kulal Line = papers co-authored together Sumith Kulal links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown

About Sumith Kulal

Sumith Kulal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Control and Systems Engineering, having authored 8 papers that have together received 45 indexed citations. Recurring topics across this work include Formal Methods in Verification (3 papers), Human Pose and Action Recognition (3 papers), Logic, programming, and type systems (3 papers), Video Analysis and Summarization (2 papers), Distributed systems and fault tolerance (2 papers), Human Motion and Animation (2 papers), Software Testing and Debugging Techniques (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (1 citation), Software (4 citations), Computer Vision and Pattern Recognition (18 citations), Computer Graphics and Computer-Aided Design (3 citations) and Artificial Intelligence (21 citations). Sumith Kulal has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Jiajun Wu, Alex Aiken, Viktor Kunčak, Jiayuan Mao, Jingwan Lu, Tim Brooks, Alexei A. Efros, K.K. Singh, Dario Izzo and Supratik Chakraborty. Their work appears in journals such as ACM SIGPLAN Notices, Formal Methods in System Design, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Zenodo (CERN European Organization for Nuclear Research).

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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