Sayash Kapoor

1.3k citations
15 papers · 435 indexed · 1 hit paper · h-index 9
Topics
Explainable Artificial Intelligence (XAI) (4 papers)Ethics and Social Impacts of AI (3 papers)Advanced Bandit Algorithms Research (3 papers)

In The Last Decade

Sayash Kapoor

15 papers receiving 418 citations

Hit Papers

Leakage and the reproducibility crisis in machine-learnin...2023202620242025202350100150200250

Peers

Sayash Kapoor
Comparison fields: 5 of 130
  • Artificial Intelligence 153
  • Safety Research 57
  • Health Informatics 44
  • Molecular Biology 39
  • Information Systems 38
Replace Ángel Fernández-Leal with:
Ángel Fernández-Leal Spain
Dylan Slack United States
José Bobes-Bascarán Spain
Sophie Hilgard United States
Giulia Vilone Ireland
Emily Jia United States
Waddah Saeed Malaysia
Adrien Bibal Belgium
Douglas Heaven Isle of Man
Dimitris Kotzinos France
Sayash Kapoor relative to Ángel Fernández-Leal Spain Ángel Fernández-Leal's profile →
Citations per field
00.5×5.5×
Ángel Fernández-Leal · 1×
Citations per year

Countries citing papers authored by Sayash Kapoor

Since Specialization
Citations

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

Fields of papers citing papers by Sayash Kapoor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayash Kapoor

This figure shows the co-authorship network connecting the top 25 collaborators of Sayash Kapoor. A scholar is included among the top collaborators of Sayash Kapoor 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 Sayash Kapoor. Sayash Kapoor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 7
3 27
4 9
5 7
6 22
7 1
8 10
9 8
10
Leakage and the reproducibility crisis in machine-learning-based sciencebreakdown →
260
11 24
12 41
13 1
14 15
15 2

About Sayash Kapoor

Sayash Kapoor is a scholar working on Health Informatics, Safety Research and Management Science and Operations Research, having authored 15 papers that have together received 435 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (4 papers), Ethics and Social Impacts of AI (3 papers) and Advanced Bandit Algorithms Research (3 papers). The work is most often cited by research in Health Informatics (44 citations), Safety Research (57 citations) and Artificial Intelligence (153 citations). Sayash Kapoor has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Arvind Narayanan, Nisheeth K. Vishnoi, L. Elisa Celis, Angelina Wang, Solon Barocas, Kumar Kshitij Patel, Purushottam Kar, Peter Henderson, Rishi Bommasani and Percy Liang. Their work appears in journals such as Nature, Science and Science Advances.

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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