Bejoy Abraham

602 total citations
17 papers, 417 citations indexed

About

Bejoy Abraham is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bejoy Abraham has authored 17 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bejoy Abraham's work include AI in cancer detection (8 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Bejoy Abraham is often cited by papers focused on AI in cancer detection (8 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Bejoy Abraham collaborates with scholars based in India and France. Bejoy Abraham's co-authors include Madhu S. Nair, Aswathy Ravikumar, Jisha John, Sivakumar Ramachandran, Vincent Guiyedi, Elie G. Karam and Y Regouby and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Biology and Medicine and Computerized Medical Imaging and Graphics.

In The Last Decade

Bejoy Abraham

15 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bejoy Abraham India 9 295 233 98 96 41 17 417
Daniel Kermany United States 5 514 1.7× 343 1.5× 84 0.9× 137 1.4× 38 0.9× 8 641
Yaniv Bar Israel 3 282 1.0× 238 1.0× 80 0.8× 139 1.4× 52 1.3× 4 487
Abolfazl Zargari Khuzani United States 6 400 1.4× 296 1.3× 67 0.7× 95 1.0× 19 0.5× 13 503
Wade Menpes-Smith United Kingdom 5 321 1.1× 200 0.9× 37 0.4× 71 0.7× 36 0.9× 5 389
Neha Gianchandani Canada 4 427 1.4× 317 1.4× 56 0.6× 91 0.9× 23 0.6× 5 549
Shiwen Shen China 8 264 0.9× 194 0.8× 188 1.9× 102 1.1× 42 1.0× 14 444
G. Ananth Prabhu India 5 251 0.9× 144 0.6× 107 1.1× 62 0.6× 24 0.6× 9 335
Tej Bahadur Chandra India 8 297 1.0× 184 0.8× 52 0.5× 80 0.8× 14 0.3× 18 425
Ecem Sogancioglu Netherlands 7 283 1.0× 112 0.5× 122 1.2× 44 0.5× 37 0.9× 10 379
Sakshi Ahuja India 7 331 1.1× 251 1.1× 56 0.6× 114 1.2× 22 0.5× 10 450

Countries citing papers authored by Bejoy Abraham

Since Specialization
Citations

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

Fields of papers citing papers by Bejoy Abraham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bejoy Abraham

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

All Works

17 of 17 papers shown
1.
Abraham, Bejoy, et al.. (2024). Deep Learning-Based Anomaly Detection of ECG Signals for Telemedicine Applications. International Journal of Engineering Trends and Technology. 72(2). 163–177.
2.
Abraham, Bejoy, et al.. (2024). A two-stage CNN model for the classification and severity analysis of retinal and choroidal diseases in OCT images. SHILAP Revista de lepidopterología. 5. 10–18. 8 indexed citations
3.
4.
Abraham, Bejoy, et al.. (2024). Glaucoma Diagnosis From Smartphone Captured Fundus Images Using Deep Learning. 1–6. 1 indexed citations
5.
Abraham, Bejoy, et al.. (2023). An Efficient 3D CNN Framework with Attention Mechanisms for Alzheimer’s Disease Classification. Computer Systems Science and Engineering. 47(2). 2097–2118. 5 indexed citations
6.
Abraham, Bejoy, et al.. (2023). Computer-Aided detection of tuberculosis from X-ray images using CNN and PatternNet classifier. Journal of X-Ray Science and Technology. 31(4). 699–711. 3 indexed citations
7.
8.
Abraham, Bejoy & Madhu S. Nair. (2021). Computer-aided detection of COVID-19 from CT scans using an ensemble of CNNs and KSVM classifier. Signal Image and Video Processing. 16(3). 587–594. 21 indexed citations
9.
John, Jisha, Aswathy Ravikumar, & Bejoy Abraham. (2021). Prostate cancer prediction from multiple pretrained computer vision model. Health and Technology. 11(5). 1003–1011. 13 indexed citations
10.
11.
Abraham, Bejoy & Madhu S. Nair. (2020). Computer-aided detection of COVID-19 from X-ray images using multi-CNN and Bayesnet classifier. Journal of Applied Biomedicine. 40(4). 1436–1445. 115 indexed citations
12.
Abraham, Bejoy & Madhu S. Nair. (2019). Computer-aided grading of prostate cancer from MRI images using Convolutional Neural Networks. Journal of Intelligent & Fuzzy Systems. 36(3). 2015–2024. 19 indexed citations
13.
Abraham, Bejoy & Madhu S. Nair. (2019). Automated grading of prostate cancer using convolutional neural network and ordinal class classifier. Informatics in Medicine Unlocked. 17. 100256–100256. 42 indexed citations
14.
Abraham, Bejoy & Madhu S. Nair. (2019). On Computer-Aided Diagnosis of Prostate Cancer from MRI using Machine Intelligence Techniques. 1–8. 2 indexed citations
15.
Abraham, Bejoy & Madhu S. Nair. (2018). Computer-aided classification of prostate cancer grade groups from MRI images using texture features and stacked sparse autoencoder. Computerized Medical Imaging and Graphics. 69. 60–68. 62 indexed citations
16.
Abraham, Bejoy & Madhu S. Nair. (2018). Computer-aided diagnosis of clinically significant prostate cancer from MRI images using sparse autoencoder and random forest classifier. Journal of Applied Biomedicine. 38(3). 733–744. 35 indexed citations
17.
Guiyedi, Vincent, et al.. (2012). Severe liver cytolysis could be a marker of the severity of hemorrhagic dengue: report of two cases. Médecine et Santé Tropicales. 22(1). 87–90. 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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