Neelesh Kumar

860 total citations
40 papers, 555 citations indexed

About

Neelesh Kumar is a scholar working on Biomedical Engineering, Rehabilitation and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Neelesh Kumar has authored 40 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 12 papers in Rehabilitation and 9 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Neelesh Kumar's work include Muscle activation and electromyography studies (15 papers), Stroke Rehabilitation and Recovery (12 papers) and Prosthetics and Rehabilitation Robotics (10 papers). Neelesh Kumar is often cited by papers focused on Muscle activation and electromyography studies (15 papers), Stroke Rehabilitation and Recovery (12 papers) and Prosthetics and Rehabilitation Robotics (10 papers). Neelesh Kumar collaborates with scholars based in India, France and United Arab Emirates. Neelesh Kumar's co-authors include Pratibha Singhi, Deepak K. Ravi, Ahmed Chemori, Renu Bhardwaj, Sudip Paul, Samer Mohammed, Munna Khan, Lini Mathew, Amod Kumar and Padmavati Khandnor and has published in prestigious journals such as Expert Systems with Applications, Biosensors and Bioelectronics and Frontiers in Neuroscience.

In The Last Decade

Neelesh Kumar

38 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neelesh Kumar India 11 242 158 152 79 75 40 555
Urs Keller Switzerland 12 352 1.5× 355 2.2× 128 0.8× 95 1.2× 59 0.8× 24 718
Andrea Ancillao Italy 15 293 1.2× 79 0.5× 154 1.0× 154 1.9× 65 0.9× 35 772
Ling-Fung Yeung Hong Kong 11 268 1.1× 190 1.2× 149 1.0× 109 1.4× 25 0.3× 14 659
Oonagh M. Giggins Ireland 11 286 1.2× 173 1.1× 105 0.7× 145 1.8× 48 0.6× 28 797
Megan K. O’Brien United States 15 198 0.8× 189 1.2× 89 0.6× 124 1.6× 94 1.3× 51 724
Xudong Gu China 15 181 0.7× 306 1.9× 77 0.5× 56 0.7× 83 1.1× 54 604
Slávka Vítečková Czechia 12 354 1.5× 115 0.7× 100 0.7× 150 1.9× 73 1.0× 40 543
Kendra M. Cherry‐Allen United States 10 123 0.5× 258 1.6× 137 0.9× 86 1.1× 99 1.3× 19 528
Francesca Marini Italy 12 310 1.3× 190 1.2× 88 0.6× 90 1.1× 54 0.7× 30 558
Ilaria Mileti Italy 15 263 1.1× 72 0.5× 109 0.7× 211 2.7× 121 1.6× 39 615

Countries citing papers authored by Neelesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Neelesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neelesh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Neelesh Kumar. A scholar is included among the top collaborators of Neelesh Kumar 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 Neelesh Kumar. Neelesh Kumar 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.
Khosla, Ashima, et al.. (2024). Machine learning approach for predicting state transitions via shank acceleration data during freezing of gait in Parkinson’s disease. Biomedical Signal Processing and Control. 92. 106053–106053. 5 indexed citations
2.
Kumar, Neelesh, et al.. (2024). Visual In-Context Learning for Few-Shot Eczema Segmentation. PubMed. 2024. 1–5. 1 indexed citations
3.
Kumar, Neelesh, et al.. (2023). Decision support framework for predicting rate of gait recovery with optimized treatment planning. Expert Systems with Applications. 238. 121721–121721. 1 indexed citations
4.
Kumar, Neelesh, et al.. (2023). Design and Implementation of Cognitive Assessment Tool for Working Memory and Attention based on PGI Memory Scale. Journal of Scientific & Industrial Research. 82(9). 1 indexed citations
5.
Paul, Sudip, et al.. (2022). Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights From Human Gait. Frontiers in Neuroscience. 16. 859298–859298. 33 indexed citations
6.
Kumar, Neelesh, et al.. (2022). Novel machine learning-based hybrid strategy for severity assessment of Parkinson’s disorders. Medical & Biological Engineering & Computing. 60(3). 811–828. 14 indexed citations
7.
Madaan, Priyanka, et al.. (2021). Evaluation of a Customized 3D Printed ORGAN-Hand Orthotic Device for Unilateral Cerebral Palsy: a Pilot Study. The Indian Journal of Pediatrics. 88(9). 912–914. 3 indexed citations
8.
Kumar, Neelesh, et al.. (2021). Optimal Channel-set and Feature-set Assessment for Foot Movement Based EMG Pattern Recognition. Applied Artificial Intelligence. 35(15). 1685–1707. 3 indexed citations
9.
Kumar, Neelesh, et al.. (2019). Design of an Insole using Force Sensing Resistors for Gait Analysis and Validation using Zebris FDM System. Journal of Engineering and Applied Sciences. 15(2). 430–436. 1 indexed citations
10.
Kumar, Neelesh, et al.. (2019). A Novel Approach for Real-Time Gait Events Detection Using Developed Wireless Foot Sensor Module. IEEE Sensors Letters. 3(6). 1–4. 16 indexed citations
11.
Kumar, Neelesh, et al.. (2018). Powered Lower Limb Exoskeleton Featuring Intuitive Graphical User Interface with Analysis for Physical Rehabilitation Progress. Journal of Scientific & Industrial Research. 77(6). 342–344. 1 indexed citations
12.
Mathew, Lini, et al.. (2018). Effectiveness of robo-assisted lower limb rehabilitation for spastic patients: A systematic review. Biosensors and Bioelectronics. 117. 403–415. 21 indexed citations
13.
Khandnor, Padmavati, et al.. (2017). A survey of activity recognition process using inertial sensors and smartphone sensors. 607–612. 9 indexed citations
14.
Ravi, Deepak K., Neelesh Kumar, & Pratibha Singhi. (2016). Effectiveness of virtual reality rehabilitation for children and adolescents with cerebral palsy: an updated evidence-based systematic review. Physiotherapy. 103(3). 245–258. 163 indexed citations
15.
Kumar, Neelesh, et al.. (2014). Investigations on postural stability and spatiotemporal parameters of human gait using developed wearable smart insole. Journal of Medical Engineering & Technology. 39(1). 75–78. 9 indexed citations
16.
Kumar, Neelesh, et al.. (2014). Inertia-based angle measurement unit for gait assistive device. International Journal of Medical Engineering and Informatics. 6(3). 266–266. 3 indexed citations
17.
Kumar, Neelesh, Amod Kumar, & B.S. Sohi. (2011). Hip knee ankle interactions during stair walk for development of prosthetic knee joint. International Journal of Medical Engineering and Informatics. 3(4). 351–351. 1 indexed citations
18.
Kumar, Neelesh, Amod Kumar, & B.S. Sohi. (2011). Kinematic measurements of human motion using accelerometer and goniometer for development of prosthetic knee. International Journal of Medical Engineering and Informatics. 3(3). 197–197. 1 indexed citations
19.
Kumar, Neelesh, et al.. (2009). Analysis of SEMG for Treadmill and Ground Walk of Healthy Individuals. 46–49. 4 indexed citations
20.
Nutting, David F., et al.. (1999). Nutrient absorption. Current Opinion in Clinical Nutrition & Metabolic Care. 2(5). 413–419. 5 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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2026