Rishabh Bajpai

495 total citations · 1 hit paper
16 papers, 304 citations indexed

About

Rishabh Bajpai is a scholar working on Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Psychiatry and Mental health. According to data from OpenAlex, Rishabh Bajpai has authored 16 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 5 papers in Physical Therapy, Sports Therapy and Rehabilitation and 5 papers in Psychiatry and Mental health. Recurrent topics in Rishabh Bajpai's work include Cerebral Palsy and Movement Disorders (5 papers), Balance, Gait, and Falls Prevention (5 papers) and Diabetic Foot Ulcer Assessment and Management (4 papers). Rishabh Bajpai is often cited by papers focused on Cerebral Palsy and Movement Disorders (5 papers), Balance, Gait, and Falls Prevention (5 papers) and Diabetic Foot Ulcer Assessment and Management (4 papers). Rishabh Bajpai collaborates with scholars based in India, United States and Saudi Arabia. Rishabh Bajpai's co-authors include Deepak Joshi, Enrique Herrera‐Viedma, Ayan Seal, Anis Yazidi, Ondřej Krejcar, Deepak Joshi, Mohan Karnati, Ashutosh Tiwari, Amit Kumar and Kanwal K. Bhatia and has published in prestigious journals such as Annals of Neurology, Radiotherapy and Oncology and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Rishabh Bajpai

15 papers receiving 295 citations

Hit Papers

DeprNet: A Deep Convolution Neural Network Framework for ... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. DeprNet: A Deep Convolution Neural Network Framework for Detecting Depression Using EEG
    2021 162 citations Ayan Seal, Rishabh Bajpai et al. IEEE Transactions on Instrumentation and Measurement profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rishabh Bajpai India 8 149 72 69 63 39 16 304
Debatri Chatterjee India 12 199 1.3× 66 0.9× 45 0.7× 63 1.0× 42 1.1× 54 396
Peyvand Ghaderyan Iran 12 192 1.3× 23 0.3× 50 0.7× 91 1.4× 21 0.5× 21 375
Andrea Petracca Italy 11 218 1.5× 97 1.3× 28 0.4× 51 0.8× 13 0.3× 17 337
Davide Borra Italy 12 271 1.8× 22 0.3× 54 0.8× 66 1.0× 15 0.4× 23 377
Rahul Gavas India 11 140 0.9× 58 0.8× 38 0.6× 45 0.7× 39 1.0× 43 312
Ali Maleki Iran 11 188 1.3× 77 1.1× 89 1.3× 166 2.6× 8 0.2× 59 409
Fo Hu China 11 96 0.6× 32 0.4× 22 0.3× 137 2.2× 24 0.6× 29 261
Temitayo Olugbade United Kingdom 12 129 0.9× 142 2.0× 35 0.5× 36 0.6× 82 2.1× 33 396
Szczepan Paszkiel Poland 10 139 0.9× 21 0.3× 30 0.4× 50 0.8× 12 0.3× 37 257
Markus Wirth Germany 11 83 0.6× 39 0.5× 33 0.5× 59 0.9× 63 1.6× 20 313

Countries citing papers authored by Rishabh Bajpai

Since Specialization
Citations

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

Fields of papers citing papers by Rishabh Bajpai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rishabh Bajpai

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

All Works

16 of 16 papers shown
1.
Bajpai, Rishabh, Joanna Blackburn, Rose Gelineau‐Morel, et al.. (2025). Chronic Striatal Cholinergic Interneuron Excitation Causes Cerebral Palsy‐Related Dystonic Behavior in Mice. Annals of Neurology. 98(4). 726–740.
2.
Bajpai, Rishabh, et al.. (2023). Functional connectivity and power spectral density analysis of EEG signals in trained practitioners of Bhramari pranayama. Biomedical Signal Processing and Control. 84. 105003–105003. 7 indexed citations
3.
Gupta, Aarti, Siddhartha Sen, & Rishabh Bajpai. (2023). Postural assessment of children with spastic cerebral palsy: a cross-sectional study. International Journal of Research in Medical Sciences. 11(10). 3763–3771. 1 indexed citations
4.
Bajpai, Rishabh, et al.. (2023). A Multimodal Model-Fusion Approach for Improved Prediction of Freezing of Gait in Parkinson’s Disease. IEEE Sensors Journal. 23(14). 16168–16175. 18 indexed citations
5.
Bajpai, Rishabh & Deepak Joshi. (2023). Foot2hip: A Deep Neural Network Model for Predicting Lower Limb Kinematics From Foot Measurements. IEEE/ASME Transactions on Mechatronics. 28(4). 2248–2258. 7 indexed citations
6.
Bajpai, Rishabh, et al.. (2023). Investigating the Brain Activity Correlates of Humming Bee Sound during Bhramari Pranayama. Annals of Indian Academy of Neurology. 26(4). 461–468. 2 indexed citations
7.
Bajpai, Rishabh, et al.. (2022). A Novel Instrumented Outsole for Real-Time Foot Kinematic Measurements: Validation Across Different Speeds and Simulated Foot Landing. IEEE Transactions on Instrumentation and Measurement. 71. 1–10. 7 indexed citations
8.
Bajpai, Rishabh, et al.. (2022). AbnormNet: A Neural Network Based Suggestive Tool for Identifying Gait Abnormalities in Cerebral Palsy Children. 2022 International Conference for Advancement in Technology (ICONAT). 1–5. 4 indexed citations
9.
Bajpai, Rishabh & Deepak Joshi. (2022). Dynamic Musculoskeletal Simulation of a Passive Exoskeleton for Simulating Contracture. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 70. 877–880. 1 indexed citations
10.
Seal, Ayan, Rishabh Bajpai, Mohan Karnati, et al.. (2022). Benchmarks for machine learning in depression discrimination using electroencephalography signals. Applied Intelligence. 53(10). 12666–12683. 28 indexed citations
11.
Tiwari, Ashutosh, et al.. (2022). Exploring the Center of Pressure Shift Feedback at Heel Strike to Modulate the Step Length. 2022 International Conference for Advancement in Technology (ICONAT). 1–5. 2 indexed citations
12.
Kumar, Amit, Rishabh Bajpai, & Deepak Joshi. (2022). Temperature Profile of Nasal Breathing for Respiration Monitoring in Ambulatory Settings. IEEE Sensors Journal. 22(23). 23328–23340. 7 indexed citations
13.
Bajpai, Rishabh & Deepak Joshi. (2021). MoveNet: A Deep Neural Network for Joint Profile Prediction Across Variable Walking Speeds and Slopes. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 45 indexed citations
14.
Bajpai, Rishabh & Deepak Joshi. (2021). A-GAS: A Probabilistic Approach for Generating Automated Gait Assessment Score for Cerebral Palsy Children. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 2530–2539. 10 indexed citations
15.
Ahmad, Irfan, et al.. (2021). PD-0730 Convolutional Neural Network to predict Deep Inspiration Breath Hold eligibility using Chest X-Ray. Radiotherapy and Oncology. 161. S560–S561. 3 indexed citations
16.
Seal, Ayan, et al.. (2021). DeprNet: A Deep Convolution Neural Network Framework for Detecting Depression Using EEG. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 162 indexed citations breakdown →

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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