Pallab Roy

500 total citations
20 papers, 280 citations indexed

About

Pallab Roy is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Pallab Roy has authored 20 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Ophthalmology. Recurrent topics in Pallab Roy's work include Retinal Imaging and Analysis (8 papers), Digital Imaging for Blood Diseases (5 papers) and Medical Image Segmentation Techniques (4 papers). Pallab Roy is often cited by papers focused on Retinal Imaging and Analysis (8 papers), Digital Imaging for Blood Diseases (5 papers) and Medical Image Segmentation Techniques (4 papers). Pallab Roy collaborates with scholars based in Australia, India and Singapore. Pallab Roy's co-authors include Suman Sedai, Rahil Garnavi, Dwarikanath Mahapatra, Prasun Bhattacharya, Ruwan Tennakoon, Kotagiri Ramamohanarao, Arvind Rajwanshi, Suman Kochhar, Pranab Dey and Alauddin Bhuiyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Geology and Rapid Communications in Mass Spectrometry.

In The Last Decade

Pallab Roy

19 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pallab Roy Australia 10 111 84 71 53 50 20 280
V. Saravanan India 9 101 0.9× 118 1.4× 21 0.3× 47 594
M. Meena India 9 8 0.1× 3 0.0× 14 0.2× 7 0.1× 27 0.5× 35 256
T. Y. Alvin Liu United States 13 369 3.3× 361 4.3× 54 0.8× 1 0.0× 57 598
Chao-Hung Chen Taiwan 11 7 0.1× 10 0.1× 13 0.2× 7 0.1× 40 265
Elham Vali Betts United States 3 69 0.6× 7 0.1× 20 0.3× 7 276
Jaehong Aum South Korea 6 441 4.0× 21 0.3× 81 1.1× 10 598
Binrong Ma China 5 103 0.9× 24 0.3× 74 1.0× 12 307
Yongpeng Zhang China 9 108 1.0× 125 1.5× 24 0.3× 1 0.0× 24 265
John G. Pearce United States 11 100 0.9× 46 0.5× 7 0.1× 1 0.0× 33 477

Countries citing papers authored by Pallab Roy

Since Specialization
Citations

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

Fields of papers citing papers by Pallab Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pallab Roy

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

All Works

20 of 20 papers shown
1.
2.
Bhattacharya, S. K., Pallab Roy, Mahasin Ali Khan, et al.. (2023). Triple oxygen isotopes in intertrappean fossil woods: Evidence of higher tropical rainfall during Deccan volcanism. Chemical Geology. 634. 121599–121599. 5 indexed citations
3.
Bhattacharya, S. K., et al.. (2020). A simple cryogenic method for efficient analysis of triple oxygen isotopes in silicates. Rapid Communications in Mass Spectrometry. 34(18). e8833–e8833. 6 indexed citations
4.
Roy, Pallab, Ruwan Tennakoon, Suman Sedai, et al.. (2017). A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images. 1078–1082. 25 indexed citations
5.
6.
Sedai, Suman, Pallab Roy, Dwarikanath Mahapatra, & Rahil Garnavi. (2016). Segmentation of optic disc and optic cup in retinal fundus images using shape regression. PubMed. 2016. 3260–3264. 30 indexed citations
7.
Roy, Pallab, et al.. (2016). A novel computer aided quantification method of focal arteriolar narrowing using colour retinal image. Computers in Biology and Medicine. 74. 18–29. 5 indexed citations
8.
Sedai, Suman, Pallab Roy, Dwarikanath Mahapatra, & Rahil Garnavi. (2016). Segmentation of Optic Disc and Optic Cup in Retinal Fundus Images Using Coupled Shape Regression. 7 indexed citations
9.
Tennakoon, Ruwan, Dwarikanath Mahapatra, Pallab Roy, Suman Sedai, & Rahil Garnavi. (2016). Image Quality Classification for DR Screening Using Convolutional Neural Networks. 113–120. 17 indexed citations
10.
Roy, Pallab, Rajib Chakravorty, Suman Sedai, Dwarikanath Mahapatra, & Rahil Garnavi. (2016). Automatic Eye Type Detection in Retinal Fundus Image Using Fusion of Transfer Learning and Anatomical Features. 11. 1–7. 6 indexed citations
11.
Roy, Pallab, Alauddin Bhuiyan, Andrew L. Janke, et al.. (2015). Automatic white matter lesion segmentation using contrast enhanced FLAIR intensity and Markov Random Field. Computerized Medical Imaging and Graphics. 45. 102–111. 20 indexed citations
12.
Sedai, Suman, Pallab Roy, & Rahil Garnavi. (2015). Right ventricle landmark detection using multiscale HOG and random forest classifier. 6 indexed citations
13.
Sedai, Suman, Rahil Garnavi, Pallab Roy, & Xi Liang. (2015). Multi-atlas label fusion using hybrid of discriminative and generative classifiers for segmentation of cardiac MR images. PubMed. 45. 2977–2980. 1 indexed citations
14.
Roy, Pallab, Alauddin Bhuiyan, Andrew L. Janke, et al.. (2014). Automated Segmentation of White Matter Lesions Using Global Neighbourhood Given Contrast Feature-Based Random Forest and Markov Random Field. 7. 1–6. 3 indexed citations
15.
Roy, Pallab, Uyen T. V. Nguyen, Alauddin Bhuiyan, & Kotagiri Ramamohanarao. (2014). An effective automated system for grading severity of retinal arteriovenous nicking in colour retinal images. PubMed. 65. 6324–6327. 5 indexed citations
16.
17.
Liu, Yang, et al.. (2012). Short paper. 21–26. 12 indexed citations
18.
Bhattacharya, Prasun, et al.. (2011). Transfusion-related adverse events at the tertiary care center in North India: An institutional hemovigilance effort. SHILAP Revista de lepidopterología. 5(2). 164–164. 60 indexed citations
19.
Sarode, Ravi, et al.. (1995). Hyperaggregation of platelets in intestinal tuberculosis: Role of platelets in chronic inflammation. American Journal of Hematology. 48(1). 52–54. 13 indexed citations
20.
Srinivasan, Radhika, Arvind Rajwanshi, Rakesh Kochhar, et al.. (1993). Abdominal tuberculosis. Diagnosis by fine needle aspiration cytology.. PubMed. 37(5). 673–8. 32 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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