S. Laxminarayan

1.4k citations
55 papers · 957 · h-index 16

Impact in

Papers in

S. Laxminarayan

47 papers receiving 913 citations

Peers

S. Laxminarayan
Comparison fields: 5 of 121
  • Experimental and Cognitive Psychology 210
  • Computer Vision and Pattern Recognition 260
  • Cognitive Neuroscience 161
  • Computational Mathematics 5
  • Radiology, Nuclear Medicine and Imaging 166
Replace Musa Hakan Asyalı with:
Musa Hakan Asyalı Türkiye
Leonardo Bocchi Italy
Lakshman S. Tamil United States
Walter Karlen Switzerland
Do‐Un Jeong South Korea
Marc L. Schröder Netherlands
Silke Anna Theresa Weber Brazil
James W. Ward United Kingdom
Rossana Castaldo Italy
Luay Fraiwan Jordan
S. Laxminarayan relative to Musa Hakan Asyalı Türkiye Musa Hakan Asyalı's profile →
Citations per field
00.5×3.5×
Musa Hakan Asyalı · 1×
Citations per year

Countries citing papers authored by S. Laxminarayan

Since Specialization
Citations

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

Fields of papers citing papers by S. Laxminarayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002207
2 2013118
3 200286
4 200244
5 200539
6 201937
7 201936
8 201833
9 201427
10 202125
11 201724
12 201524
13 201221
14 201518
15 201218
16 202017
17 201415
18 200513
19 198413
20 202312

About S. Laxminarayan

S. Laxminarayan is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Molecular Biology, having authored 55 papers that have together received 957 indexed citations. Recurring topics across this work include Sleep and Work-Related Fatigue (11 papers), Sleep and Wakefulness Research (7 papers), Sleep and related disorders (6 papers), Medical Image Segmentation Techniques (5 papers), Thermoregulation and physiological responses (5 papers), EEG and Brain-Computer Interfaces (4 papers), Mobile Health and mHealth Applications (3 papers) and Human-Automation Interaction and Safety (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (210 citations), Computer Vision and Pattern Recognition (260 citations), Cognitive Neuroscience (161 citations), Computational Mathematics (5 citations) and Radiology, Nuclear Medicine and Imaging (166 citations). S. Laxminarayan has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Jaques Reifman, Jasjit S. Suri, Kecheng Liu, Laura Reden, Sridhar Ramakrishnan, Sameer Singh, Xiaolan Zeng, Nancy J. Wesensten, Srinivasan Rajaraman and Anne Germain. Their work appears in journals such as SLEEP, Journal of Sleep Research, European Journal of Applied Physiology, Journal of Theoretical Biology and Medicine & Science in Sports & Exercise.

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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