Sudip Paul

2.1k total citations · 1 hit paper
82 papers, 749 citations indexed

About

Sudip Paul is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Sudip Paul has authored 82 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 15 papers in Cellular and Molecular Neuroscience and 15 papers in Biomedical Engineering. Recurrent topics in Sudip Paul's work include EEG and Brain-Computer Interfaces (14 papers), Muscle activation and electromyography studies (10 papers) and Neuroscience and Neuropharmacology Research (8 papers). Sudip Paul is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Muscle activation and electromyography studies (10 papers) and Neuroscience and Neuropharmacology Research (8 papers). Sudip Paul collaborates with scholars based in India, United States and Italy. Sudip Paul's co-authors include Mrinalini Bhagawati, Sanjay Saxena, Ajaya Jang Kunwar, Pallab Bhattacharya, Manudeep Kalra, Luca Saba, Ranjana Patnaik, Anand Kumar Pandey, Narendra N. Khanna and Dinesh Bhatia and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Oxidative Medicine and Cellular Longevity.

In The Last Decade

Sudip Paul

72 papers receiving 715 citations

Hit Papers

align trajectories

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.

A Review on Recent Advances of Cerebral Palsy

2022 80 citations Sudip Paul, Mrinalini Bhagawati et al. Oxidative Medicine and Cellular Longevity profile →

Peers

Sudip Paul

RNMI

NEURO

Ting Ma China

Evanthia E. Tripoliti Greece

Zhuangzhi Yan China

Baek Hwan Cho South Korea

Lan Lin China

Aldo Marzullo Italy

Lin Pan China

Shiwei Huang Australia

Fang Pu China

A. Brahim Spain

Ting Ma China

Sudip Paul

194 ×1.3

RNMI

66 ×0.5

72 ×0.6

234 ×2.8

102 ×1.2

NEURO

Citations per year, relative to Sudip Paul Sudip Paul (= 1×) peers Ting Ma

Countries citing papers authored by Sudip Paul

Since Specialization

Citations

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

Fields of papers citing papers by Sudip Paul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudip Paul

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bhagawati, Mrinalini, Mahesh Maindarkar, Sudip Paul, et al.. (2025). Transformer and Attention-Based Architectures for Segmentation of Coronary Arterial Walls in Intravascular Ultrasound: A Narrative Review. Diagnostics. 15(7). 848–848. 2 indexed citations

Jena, Biswajit, Sanjay Saxena, & Sudip Paul. (2025). Machine Learning for Neurodegenerative Disorders.

Bhagawati, Mrinalini & Sudip Paul. (2024). Generative Adversarial Network-based Deep Learning Framework for Cardiovascular Disease Risk Prediction. 1–4.

Bhagawati, Mrinalini, Sudip Paul, Laura E. Mantella, et al.. (2024). Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data. Diagnostics. 14(17). 1894–1894. 5 indexed citations

Saha, Goutam, et al.. (2023). The Behavioural Analysis of the <i>Dosha</i> Pattern Derived from Associated Current Diseases and Symptoms along with Parkinson’s Disease. Journal of Natural Remedies. 475–485. 1 indexed citations

Paul, Sudip, et al.. (2023). Advances in Cerebral Palsy Treatment. Recent Patents on Engineering. 18(6). 1 indexed citations

Paul, Sudip, Mahesh Maindarkar, Sanjay Saxena, et al.. (2022). Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson’s Disease: A Narrative Review. Diagnostics. 12(1). 166–166. 33 indexed citations

Suri, Jasjit S., Mrinalini Bhagawati, Sushant Agarwal, et al.. (2022). UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias. IEEE Access. 11. 595–645. 39 indexed citations

Suri, Jasjit S., Sudip Paul, Mahesh Maindarkar, et al.. (2022). Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review. Metabolites. 12(4). 312–312. 26 indexed citations

10.

Paul, Sudip, et al.. (2022). A Review on Recent Advances of Cerebral Palsy. Oxidative Medicine and Cellular Longevity. 2022(1). 2622310–2622310. 80 indexed citations breakdown →

11.

Suri, Jasjit S., Mrinalini Bhagawati, Sudip Paul, et al.. (2022). Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review. Computers in Biology and Medicine. 142. 105204–105204. 47 indexed citations

12.

Suri, Jasjit S., Mrinalini Bhagawati, Sudip Paul, et al.. (2022). A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review. Diagnostics. 12(3). 722–722. 27 indexed citations

13.

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

14.

Sahai, Nitin, et al.. (2019). Performance Analysis of Artificial Neural Network for Hand Movement Detection from EMG Signals. IETE Journal of Research. 68(2). 1074–1083. 12 indexed citations

15.

Datta, Amitava, et al.. (2019). Comprehensive Review on Deep Learning for Neuronal Disorders. UWA Profiles and Research Repository (University of Western Australia). 9(1). 27–44. 1 indexed citations

16.

Paul, Sudip, et al.. (2019). Performance Analysis of various Neural Network functions for Parkinson’s disease Classification using EEG and EMG. International Journal of Innovative Technology and Exploring Engineering. 9(1). 3402–3406. 3 indexed citations

17.

Paul, Sudip, et al.. (2017). Higher order statistics of bispectrum and MRP of ECoG signals for motor imagery tasks classification. 1–4. 3 indexed citations

18.

Bhattacharya, Pallab, Anand Kumar Pandey, Sudip Paul, & Ranjana Patnaik. (2012). Cognitive effects of NSAIDs in cerebral ischemia: A hypothesis exploring mechanical action mediated pharmacotherapy. Medical Hypotheses. 79(3). 393–395. 4 indexed citations

19.

Bhattacharya, Pallab, Anand Kumar Pandey, Sudip Paul, & Ranjana Patnaik. (2012). Combination therapy of Ifenprodil with Piroxicam may be an effective therapeutic intervention in cerebral stroke: A hypothesis. Medical Hypotheses. 79(4). 516–518. 5 indexed citations

20.

Bhattacharya, Pallab, et al.. (2011). Minocycline and magnesium in combination attenuates oxidative stress and decreases ischemic neuronal damage in vivo. The Thai Journal of Pharmaceutical Sciences. 35(3). 131–142. 1 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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