Devansh Saxena

409 citations
32 papers · 222 · h-index 9

Impact in

Papers in

Devansh Saxena

25 papers receiving 217 citations

Peers

Devansh Saxena
Comparison fields: 5 of 60
  • Safety Research 56
  • Health Informatics 7
  • Human-Computer Interaction 26
  • Computer Science Applications 16
  • Media Technology 19
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Venkatesh Sivaraman United States
John S. Seberger United States
Abraham Mhaidli United States
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Katerina Zdravkova North Macedonia
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Citations per field
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Citations per year

Countries citing papers authored by Devansh Saxena

Since Specialization
Citations

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

Fields of papers citing papers by Devansh Saxena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201734
2 202022
3 202319
4 202218
5 202317
6 202217
7 202017
8 201815
9 201911
10 20258
11 20227
12 20236
13 20216
14 20204
15 20214
16 20204
17 20253
18 20222
19 20192
20 20201

About Devansh Saxena

Devansh Saxena is a scholar working on Safety Research, Sociology and Political Science, Artificial Intelligence, General Health Professions and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 222 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (10 papers), Information Systems Theories and Implementation (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Smart Cities and Technologies (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Health Policy Implementation Science (2 papers), Child Welfare and Adoption (2 papers) and Innovative Human-Technology Interaction (2 papers). The work is most often cited by research in Safety Research (56 citations), Health Informatics (7 citations), Human-Computer Interaction (26 citations), Computer Science Applications (16 citations) and Media Technology (19 citations). Devansh Saxena has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Shion Guha, Cristinel Ababei, Karla Badillo-Urquiola, Pamela Wiśniewski, Melanie Sage, Kenneth Holstein, Eric P. S. Baumer, John Zimmerman, Christoph Becker and Jodi Forlizzi. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, International Journal of Human-Computer Interaction, HardwareX, EAI Endorsed Transactions on Pervasive Health and Technology 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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