K. Adalarasu

980 total citations
45 papers, 687 citations indexed

About

K. Adalarasu is a scholar working on Cognitive Neuroscience, Social Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, K. Adalarasu has authored 45 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 14 papers in Social Psychology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in K. Adalarasu's work include EEG and Brain-Computer Interfaces (17 papers), Ergonomics and Musculoskeletal Disorders (6 papers) and Effects of Vibration on Health (5 papers). K. Adalarasu is often cited by papers focused on EEG and Brain-Computer Interfaces (17 papers), Ergonomics and Musculoskeletal Disorders (6 papers) and Effects of Vibration on Health (5 papers). K. Adalarasu collaborates with scholars based in India, United States and United Kingdom. K. Adalarasu's co-authors include Venkatesh Balasubramanian, M. Jagannath, S. Jayalalitha, S. Pravin Kumar, Ankur Gupta, S. Rakesh Kumar, Rengarajan Amirtharajan, K. Ramkumar, K. Mohanavelu and Trupti Patel and has published in prestigious journals such as Applied Soft Computing, SAE technical papers on CD-ROM/SAE technical paper series and IEEE Sensors Journal.

In The Last Decade

K. Adalarasu

40 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Adalarasu India 13 258 230 205 113 110 45 687
M. Jagannath India 14 222 0.9× 121 0.5× 176 0.9× 36 0.3× 140 1.3× 63 815
Scott E. Kerick United States 18 914 3.5× 175 0.8× 152 0.7× 30 0.3× 136 1.2× 41 1.2k
Karen S√∏gaard Denmark 6 152 0.6× 287 1.2× 186 0.9× 214 1.9× 254 2.3× 7 832
Mónica S. Cameirão Portugal 18 314 1.2× 155 0.7× 60 0.3× 164 1.5× 160 1.5× 52 1.4k
Ben Willems United States 8 262 1.0× 243 1.1× 63 0.3× 76 0.7× 182 1.7× 32 658
John B. Shea United States 16 900 3.5× 374 1.6× 166 0.8× 43 0.4× 226 2.1× 48 1.5k
Johannes Schumm Switzerland 10 323 1.3× 219 1.0× 305 1.5× 25 0.2× 336 3.1× 15 990
Solveig Vieluf Germany 17 539 2.1× 97 0.4× 65 0.3× 23 0.2× 188 1.7× 57 838
Clément Bougard France 18 276 1.1× 216 0.9× 487 2.4× 39 0.3× 45 0.4× 39 940
Alfred O. Effenberg Germany 18 814 3.2× 443 1.9× 180 0.9× 49 0.4× 258 2.3× 49 1.4k

Countries citing papers authored by K. Adalarasu

Since Specialization
Citations

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

Fields of papers citing papers by K. Adalarasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Adalarasu

This figure shows the co-authorship network connecting the top 25 collaborators of K. Adalarasu. A scholar is included among the top collaborators of K. Adalarasu 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 K. Adalarasu. K. Adalarasu 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.
Adalarasu, K., et al.. (2025). An explainable machine learning (XAI) framework to enhance types of cardiovascular disease diagnosis and prognosis. Physical and Engineering Sciences in Medicine. 49(1). 115–129.
3.
Adalarasu, K., et al.. (2025). An Explainable Machine Learning (XAI) framework for classification of intricate dancing posture among Indian Bharatanatyam dancers. Applied Soft Computing. 171. 112817–112817. 1 indexed citations
4.
Jayalalitha, S., et al.. (2024). Analysis and classification of EEG data when playing video games and relax using EEG biomarkers. AIP conference proceedings. 3180. 40002–40002. 1 indexed citations
5.
Jayalalitha, S., et al.. (2024). Machine learning based human mental state classification using wavelet packet decomposition-an EEG study. Multimedia Tools and Applications. 83(35). 83093–83112. 7 indexed citations
6.
Adalarasu, K., et al.. (2023). Brain connectivity dynamics during listening to music and potential impact on task performance. Cognitive Neurodynamics. 18(3). 829–845.
7.
8.
Jagannath, M., et al.. (2022). Neural correlates of guilt knowledge analysis using electroencephalographic technique. Journal of Forensic Psychiatry and Psychology. 33(2). 231–251.
9.
Adalarasu, K., et al.. (2020). Identifying Pre-ictal Period of Seizure and Better Brain Lobes for Seizure Detection using EEG Biomarkers. Journal of Physics Conference Series. 1451(1). 12010–12010. 3 indexed citations
10.
Mohanavelu, K., et al.. (2020). Dynamic cognitive workload assessment for fighter pilots in simulated fighter aircraft environment using EEG. Biomedical Signal Processing and Control. 61. 102018–102018. 30 indexed citations
11.
Adalarasu, K., et al.. (2019). Examination of Cognitive Workload using Different Modalities. Research Journal of Pharmacy and Technology. 12(10). 4647–4647. 1 indexed citations
12.
Adalarasu, K., et al.. (2018). Music-Induced Brain Functional Connectivity Using EEG Sensors: A Study on Indian Music. IEEE Sensors Journal. 19(4). 1499–1507. 40 indexed citations
13.
Ramasamy, Sharmaine, K. Adalarasu, & Trupti Patel. (2018). Quantitative analysis of heart rate variability exposures in motorbike riders. Biomedical Research - India. 29(10). 2 indexed citations
14.
Adalarasu, K., et al.. (2017). Emotion analysis using SAM (Self-Assessment Manikin) scale. Biomedical Research-tokyo. 18–24. 33 indexed citations
15.
Jagannath, M., et al.. (2017). Brain computer interface for vehicle navigation. Biomedical Research-tokyo. 344–350. 3 indexed citations
16.
Ramasamy, Sharmaine, K. Adalarasu, & Trupti Patel. (2017). Evaluation of driving-related musculoskeletal disorders in motorbike riders using Quick Exposure Check (QEC). 28(5). 1962–1968. 11 indexed citations
17.
Doss, C. George Priya, et al.. (2015). Analysis of physiological signal variation between autism and controlgroup in south indian population.. Biomedical Research-tokyo. 26(3). 0. 6 indexed citations
18.
Balasubramanian, Venkatesh, M. Jagannath, & K. Adalarasu. (2013). Muscle fatigue based evaluation of bicycle design. Applied Ergonomics. 45(2). 339–345. 29 indexed citations
19.
Adalarasu, K., et al.. (2012). Impact Of Music On Brain Function During Mental Task Using Electroencephalography. World Academy of Science, Engineering and Technology, International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering. 6(6). 256–260. 28 indexed citations
20.
Balasubramanian, Venkatesh, et al.. (2008). Comparing stationary standing with an intermittent walking posture during assembly operations. Human Factors and Ergonomics in Manufacturing & Service Industries. 18(6). 666–677. 10 indexed citations

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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