Subhrajit Roy

1.1k total citations
24 papers, 676 citations indexed

About

Subhrajit Roy is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Subhrajit Roy has authored 24 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Cognitive Neuroscience and 5 papers in Computational Theory and Mathematics. Recurrent topics in Subhrajit Roy's work include Advanced Multi-Objective Optimization Algorithms (5 papers), EEG and Brain-Computer Interfaces (5 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Subhrajit Roy is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (5 papers), EEG and Brain-Computer Interfaces (5 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Subhrajit Roy collaborates with scholars based in India, United Kingdom and Singapore. Subhrajit Roy's co-authors include Stefan Harrer, Swagatam Das, Saurav Ghosh, Isabell Kiral-Kornek, Diana Mincu, Ponnuthurai Nagaratnam Suganthan, Benjamin S. Mashford, David B. Grayden, Susmita Saha and Steven N. Baldassano and has published in prestigious journals such as Scientific Reports, Information Sciences and Epilepsia.

In The Last Decade

Subhrajit Roy

23 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Subhrajit Roy India	12	281	203	141	79	67	24	676
Ayşegül Güven Türkiye	11	184 0.7×	58 0.3×	81 0.6×	10 0.1×	10 0.1×	47	412
C. Jiménez-Mesa Spain	9	93 0.3×	138 0.7×	29 0.2×	8 0.1×	18 0.3×	14	449
Xiang Wu China	9	44 0.2×	119 0.6×	34 0.2×	18 0.2×	26 0.4×	44	320
Musa Peker Türkiye	12	409 1.5×	178 0.9×	15 0.1×	17 0.2×	50 0.7×	27	855
Saroj Kumar Pandey India	14	294 1.0×	147 0.7×	14 0.1×	7 0.1×	28 0.4×	73	737
Saadullah Farooq Abbasi United Kingdom	13	125 0.4×	92 0.5×	9 0.1×	20 0.3×	41 0.6×	34	450
Minh Hoai Nguyen United States	14	113 0.4×	254 1.3×	17 0.1×	10 0.1×	15 0.2×	31	946
Gauthier Doquire Belgium	10	162 0.6×	276 1.4×	13 0.1×	41 0.5×	21 0.3×	16	610
Vanessa Gómez-Verdejo Spain	14	105 0.4×	239 1.2×	31 0.2×	16 0.2×	53 0.8×	41	560

Countries citing papers authored by Subhrajit Roy

Since Specialization

Citations

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

Fields of papers citing papers by Subhrajit Roy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhrajit Roy

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

All Works

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20 of 20 papers shown

Roy, Subhrajit, Diana Mincu, Lev Proleev, et al.. (2025). Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis. Scientific Reports. 15(1). 18209–18209. 1 indexed citations

Mincu, Diana & Subhrajit Roy. (2022). Developing robust benchmarks for driving forward AI innovation in healthcare. Nature Machine Intelligence. 4(11). 916–921. 31 indexed citations

Roy, Subhrajit. (2022). A Research Paper on Biometric based ATM System. International Journal for Research in Applied Science and Engineering Technology. 10(4). 1700–1703.

Tang, Jianbin, Rima El Atrache, Umar Asif, et al.. (2021). Seizure detection using wearable sensors and machine learning: Setting a benchmark. Epilepsia. 62(8). 1807–1819. 90 indexed citations

Roy, Subhrajit, Diana Mincu, Anne Mottram, et al.. (2021). Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing. Journal of the American Medical Informatics Association. 28(9). 1936–1946. 10 indexed citations

Asif, Umar, Subhrajit Roy, Jianbin Tang, & Stefan Harrer. (2019). SeizureNet: A Deep Convolutional Neural Network for Accurate Seizure Type Classification and Seizure Detection.. arXiv (Cornell University). 12 indexed citations

Roy, Subhrajit, Umar Asif, Jianbin Tang, & Stefan Harrer. (2019). Machine Learning for Seizure Type Classification: Setting the benchmark.. 8 indexed citations

Asif, Umar, et al.. (2019). Privacy Preserving Human Fall Detection using Video Data. 39–51. 23 indexed citations

Roy, Subhrajit, Isabell Kiral-Kornek, & Stefan Harrer. (2018). Deep Learning Enabled Automatic Abnormal EEG Identification. PubMed. 2018. 2756–2759. 38 indexed citations

10.

Kiral-Kornek, Isabell, Subhrajit Roy, Ewan S. Nurse, et al.. (2017). Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System. EBioMedicine. 27. 103–111. 191 indexed citations

11.

Roy, Subhrajit & Arindam Basu. (2016). An Online Structural Plasticity Rule for Generating Better Reservoirs. Neural Computation. 28(11). 2557–2584. 13 indexed citations

12.

Roy, Subhrajit, et al.. (2014). Architectural exploration for on-chip, online learning in spiking neural networks. 128–131. 1 indexed citations

13.

Roy, Subhrajit, Saúl Zapotecas–Martínez, Carlos A. Coello Coello, & Soumyadip Sengupta. (2012). A Multi-Objective Evolutionary approach for linear antenna array design and synthesis. Zenodo (CERN European Organization for Nuclear Research). 1–8. 7 indexed citations

14.

Roy, Subhrajit, et al.. (2012). A simulated weed colony system with subregional differential evolution for multimodal optimization. Engineering Optimization. 45(4). 459–481. 9 indexed citations

15.

Ghosh, Saurav, et al.. (2011). A differential covariance matrix adaptation evolutionary algorithm for global optimization. 1–8. 11 indexed citations

16.

Ghosh, Saurav, et al.. (2011). A Differential Covariance Matrix Adaptation Evolutionary Algorithm for real parameter optimization. Information Sciences. 182(1). 199–219. 83 indexed citations

17.

Mukherjee, Pulok K., et al.. (2006). Persistence and Dissipation of Linuron (Afalon-50wp) in Pea Cropped Soil and Its Effect on Soil Microorganisms. Bulletin of Environmental Contamination and Toxicology. 76(3). 407–414. 2 indexed citations

18.

Roy, Subhrajit, et al.. (2004). Effect of pH on the Persistence Behavior of the Insecticide Buprofezin in Water Under Laboratory Conditions. Bulletin of Environmental Contamination and Toxicology. 72(2). 307–311. 10 indexed citations

19.

Roy, Subhrajit, et al.. (1999). Effect of pH and Type of Formulation on the Persistence of Imidacloprid in Water. Bulletin of Environmental Contamination and Toxicology. 63(5). 604–609. 43 indexed citations

20.

Roy, Subhrajit, et al.. (1991). Use of tetracycline sorbate for the treatment of Aspergillus fumigatus infection in broiler chicks. British Veterinary Journal. 147(6). 549–555. 2 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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