Sridhar Ramakrishnan

747 total citations
34 papers, 538 citations indexed

About

Sridhar Ramakrishnan is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Sridhar Ramakrishnan has authored 34 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Experimental and Cognitive Psychology, 10 papers in Cognitive Neuroscience and 9 papers in Social Psychology. Recurrent topics in Sridhar Ramakrishnan's work include Sleep and Work-Related Fatigue (20 papers), Sleep and related disorders (15 papers) and Sleep and Wakefulness Research (10 papers). Sridhar Ramakrishnan is often cited by papers focused on Sleep and Work-Related Fatigue (20 papers), Sleep and related disorders (15 papers) and Sleep and Wakefulness Research (10 papers). Sridhar Ramakrishnan collaborates with scholars based in United States and Germany. Sridhar Ramakrishnan's co-authors include Jaques Reifman, S. Laxminarayan, Nancy J. Wesensten, Thomas J. Balkin, Srinivasan Rajaraman, David Thorsley, Anne Germain, Jianbo Liu, Kamal Kumar and Gary H. Kamimori and has published in prestigious journals such as NeuroImage, IEEE Transactions on Signal Processing and SLEEP.

In The Last Decade

Sridhar Ramakrishnan

29 papers receiving 519 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sridhar Ramakrishnan United States 15 395 224 123 56 52 34 538
Brieann C. Satterfield United States 16 387 1.0× 162 0.7× 124 1.0× 67 1.2× 159 3.1× 29 669
Ingrid Smith Canada 13 240 0.6× 230 1.0× 61 0.5× 19 0.3× 20 0.4× 21 446
Samantha M. Riedy United States 12 267 0.7× 113 0.5× 119 1.0× 25 0.4× 63 1.2× 20 429
Jason Jameson United States 8 271 0.7× 170 0.8× 43 0.3× 31 0.6× 60 1.2× 24 460
Cassie J. Hilditch United States 17 567 1.4× 217 1.0× 178 1.4× 28 0.5× 134 2.6× 54 774
Laura E. Juliff Australia 8 306 0.8× 224 1.0× 30 0.2× 50 0.9× 24 0.5× 8 475
Luke Gupta United Kingdom 6 401 1.0× 270 1.2× 30 0.2× 70 1.3× 35 0.7× 8 668
Suzanne Ftouni Australia 13 396 1.0× 189 0.8× 104 0.8× 36 0.6× 167 3.2× 26 549
Daniel Hammes Germany 10 339 0.9× 217 1.0× 41 0.3× 150 2.7× 38 0.7× 10 870

Countries citing papers authored by Sridhar Ramakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Sridhar Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sridhar Ramakrishnan

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

All Works

20 of 20 papers shown
1.
2.
Bowers, Clint, et al.. (2024). A game-based learning approach to sleep hygiene education: a pilot investigation. Frontiers in Digital Health. 6. 1334840–1334840. 3 indexed citations
3.
Ramakrishnan, Sridhar, et al.. (2024). Acoustic process monitoring during projection welding using airborne sound analysis and machine learning. Welding in the World. 69(2). 459–470. 1 indexed citations
4.
Reifman, Jaques, et al.. (2021). 2B-Alert Web 2.0, an Open-Access Tool for Predicting Alertness and Optimizing the Benefits of Caffeine: Utility Study. Journal of Medical Internet Research. 24(1). e29595–e29595. 6 indexed citations
5.
Connaboy, Christopher, Michael N. Dretsch, Fabio Ferrarelli, et al.. (2021). Individuals with and without military-related PTSD differ in subjective sleepiness and alertness but not objective sleepiness. Journal of Psychiatric Research. 141. 301–308. 2 indexed citations
6.
Wang, Chao, S. Laxminarayan, Sridhar Ramakrishnan, et al.. (2020). Increased oscillatory frequency of sleep spindles in combat-exposed veteran men with post-traumatic stress disorder. SLEEP. 43(10). 17 indexed citations
7.
Ferrarelli, Fabio, Rachel Kaskie, S. Laxminarayan, et al.. (2019). An increase in sleep slow waves predicts better working memory performance in healthy individuals. NeuroImage. 191. 1–9. 36 indexed citations
8.
Hansen, Devon, Sridhar Ramakrishnan, Brieann C. Satterfield, et al.. (2018). Randomized, double-blind, placebo-controlled, crossover study of the effects of repeated-dose caffeine on neurobehavioral performance during 48 h of total sleep deprivation. Psychopharmacology. 236(4). 1313–1322. 20 indexed citations
9.
Reifman, Jaques, et al.. (2018). PC-PVT 2.0: An updated platform for psychomotor vigilance task testing, analysis, prediction, and visualization. Journal of Neuroscience Methods. 304. 39–45. 37 indexed citations
10.
Ramakrishnan, Sridhar, Nancy J. Wesensten, Gary H. Kamimori, et al.. (2016). A Unified Model of Performance for Predicting the Effects of Sleep and Caffeine. SLEEP. 39(10). 1827–1841. 31 indexed citations
11.
Ramakrishnan, Sridhar, Jane W. Z. Lu, S. Laxminarayan, et al.. (2015). Can a mathematical model predict an individual's trait‐like response to both total and partial sleep loss?. Journal of Sleep Research. 24(3). 262–269. 24 indexed citations
12.
Ramakrishnan, Sridhar, S. Laxminarayan, Nancy J. Wesensten, et al.. (2014). Dose-dependent model of caffeine effects on human vigilance during total sleep deprivation. Journal of Theoretical Biology. 358. 11–24. 25 indexed citations
13.
Laxminarayan, S., David Thorsley, Sridhar Ramakrishnan, et al.. (2013). PC-PVT: A platform for psychomotor vigilance task testing, analysis, and prediction. Behavior Research Methods. 46(1). 140–147. 116 indexed citations
14.
Ramakrishnan, Sridhar, Srinivasan Rajaraman, S. Laxminarayan, et al.. (2012). A biomathematical model of the restoring effects of caffeine on cognitive performance during sleep deprivation. Journal of Theoretical Biology. 319. 23–33. 17 indexed citations
15.
Ramakrishnan, Sridhar, et al.. (2012). Individualized performance prediction during total sleep deprivation: Accounting for trait vulnerability to sleep loss. PubMed. 75. 5574–5577. 2 indexed citations
16.
Rajaraman, Srinivasan, Sridhar Ramakrishnan, David Thorsley, et al.. (2012). A new metric for quantifying performance impairment on the psychomotor vigilance test. Journal of Sleep Research. 21(6). 659–674. 14 indexed citations
17.
Ramakrishnan, Sridhar, Satish Udpa, & Лалита Удпа. (2009). A numerical model to study auscultation sounds under pneumothorax conditions. PubMed. 41. 6201–6204. 1 indexed citations
18.
Ramakrishnan, Sridhar, Satish Udpa, & Лалита Удпа. (2009). A numerical model simulating sound propagation in human thorax. 41. 530–533. 7 indexed citations
19.
Ramakrishnan, Sridhar, et al.. (2006). A Modified FFT Algorithm for Efficient Computation of Narrow Band Spectrum. 552–557.
20.

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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