Bisakha Ray

500 total citations
12 papers, 196 citations indexed

About

Bisakha Ray is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Bisakha Ray has authored 12 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Health Information Management. Recurrent topics in Bisakha Ray's work include Artificial Intelligence in Healthcare (2 papers), Neural dynamics and brain function (2 papers) and Machine Learning and Algorithms (2 papers). Bisakha Ray is often cited by papers focused on Artificial Intelligence in Healthcare (2 papers), Neural dynamics and brain function (2 papers) and Machine Learning and Algorithms (2 papers). Bisakha Ray collaborates with scholars based in United States, France and Spain. Bisakha Ray's co-authors include Alexander Statnikov, Isabelle Guyon, Sérgio Escalera, Hugo Jair Escalante, Evelyne Viegas, Núria Macià, Mehreen Saeed, Kristin P. Bennett, Gavin C. Cawley and Tin Kam Ho and has published in prestigious journals such as Scientific Reports, Journal of the American Medical Informatics Association and Journal of Biomedical Informatics.

In The Last Decade

Bisakha Ray

11 papers receiving 189 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bisakha Ray United States	6	82	38	17	16	13	12	196
Ludger Jansen Germany	11	155 1.9×	198 5.2×	8 0.5×	34 2.1×	15 1.2×	58	355
Tony Solomonides United Kingdom	9	80 1.0×	44 1.2×	22 1.3×	51 3.2×	31 2.4×	43	256
David Boaz Israel	9	119 1.5×	58 1.5×	32 1.9×	33 2.1×	12 0.9×	19	258
Poonam Tanwar India	7	50 0.6×	26 0.7×	6 0.4×	30 1.9×	5 0.4×	49	230
Rong Zhao China	6	96 1.2×	28 0.7×	21 1.2×	27 1.7×	8 0.6×	11	318
Luke Dickens United Kingdom	8	80 1.0×	7 0.2×	11 0.6×	22 1.4×	2 0.2×	15	231
Hong-Woo Chun South Korea	9	188 2.3×	195 5.1×	4 0.2×	21 1.3×	5 0.4×	20	304
Lorenz Kuhn Switzerland	4	88 1.1×	32 0.8×	9 0.5×	13 0.8×	3 0.2×	4	203

Countries citing papers authored by Bisakha Ray

Since Specialization

Citations

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

Fields of papers citing papers by Bisakha Ray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bisakha Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Bisakha Ray. A scholar is included among the top collaborators of Bisakha Ray 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 Bisakha Ray. Bisakha Ray 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:

12 of 12 papers shown

Ray, Bisakha, Wenke Liu, & David Fenyö. (2017). Adaptive Multiview Nonnegative Matrix Factorization Algorithm for Integration of Multimodal Biomedical Data. Cancer Informatics. 16. 2817927580–2817927580. 4 indexed citations

Soriano, Jordi, Bisakha Ray, Javier G. Orlandi, et al.. (2017). Neural Connectomics Challenge. DIAL (Catholic University of Leuven). 4 indexed citations

Ray, Bisakha & Rumi Chunara. (2017). Predicting Acute Respiratory Infections from Participatory Data. Online Journal of Public Health Informatics. 9(1). 1 indexed citations

Ray, Bisakha, Elodie Ghedin, & Rumi Chunara. (2016). Network inference from multimodal data: A review of approaches from infectious disease transmission. Journal of Biomedical Informatics. 64. 44–54. 10 indexed citations

Guyon, Isabelle, Hugo Jair Escalante, Sérgio Escalera, et al.. (2016). A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention. SPIRE - Sciences Po Institutional REpository. 28 indexed citations

Tenenbaum, Jessica D., Paul Avillach, Marge Benham‐Hutchins, et al.. (2016). An informatics research agenda to support precision medicine: seven key areas. Journal of the American Medical Informatics Association. 23(4). 791–795. 43 indexed citations

Ray, Bisakha, Yindalon Aphinyanaphongs, & Sean Heffron. (2015). Text Classification-Based Automatic Recruitment of Patients for Clinical Trials: A Silver Standards-Based Case Study. 119. 28–33.

Guyon, Isabelle, Kristin P. Bennett, Gavin C. Cawley, et al.. (2015). Design of the 2015 ChaLearn AutoML challenge. UEA Digital Repository (University of East Anglia). 1–8. 59 indexed citations

Guyon, Isabelle, Demian Battaglia, Vincent Lemaire, et al.. (2014). Design of the first neuronal connectomics challenge: From imaging to connectivity. 2600–2607. 2 indexed citations

10.

Ray, Bisakha, Mikael Henaff, Sisi Ma, et al.. (2014). Information content and analysis methods for Multi-Modal High-Throughput Biomedical Data. Scientific Reports. 4(1). 4411–4411. 24 indexed citations

11.

Orlandi, Javier G., Bisakha Ray, Demian Battaglia, et al.. (2014). First Connectomics Challenge: From Imaging to Connectivity. MPG.PuRe (Max Planck Society). 46. 1–22. 4 indexed citations

12.

Aphinyanaphongs, Yindalon, Bisakha Ray, Alexander Statnikov, & Paul Krebs. (2014). Text classification for automatic detection of alcohol use-related tweets: A feasibility study. 452001. 93–97. 17 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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