Gopal Datt Joshi

1.9k total citations · 1 hit paper
19 papers, 1.3k citations indexed

About

Gopal Datt Joshi is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Gopal Datt Joshi has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Ophthalmology. Recurrent topics in Gopal Datt Joshi's work include Retinal Imaging and Analysis (14 papers), Glaucoma and retinal disorders (13 papers) and Digital Imaging for Blood Diseases (8 papers). Gopal Datt Joshi is often cited by papers focused on Retinal Imaging and Analysis (14 papers), Glaucoma and retinal disorders (13 papers) and Digital Imaging for Blood Diseases (8 papers). Gopal Datt Joshi collaborates with scholars based in India. Gopal Datt Joshi's co-authors include Jayanthi Sivaswamy, Subbaiah Ramasamy Krishnadas, S. R. Krishnadas, Arunava Chakravarty, Keerthi Ram, Saurabh Garg, Tanveer Ahmad, R. Prashanth, Siddharth Yadav and Md Imam Faizan and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and Frontiers in Cellular and Infection Microbiology.

In The Last Decade

Gopal Datt Joshi

18 papers receiving 1.2k citations

Hit Papers

Drishti-GS: Retinal image dataset for optic nerve head(ON... 2014 2026 2018 2022 2014 100 200 300
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.

  1. Drishti-GS: Retinal image dataset for optic nerve head(ONH) segmentation
    2014 340 citations Jayanthi Sivaswamy, S. R. Krishnadas et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gopal Datt Joshi India 12 1.1k 932 705 110 95 19 1.3k
Attila Budai Germany 9 1.0k 0.9× 784 0.8× 589 0.8× 112 1.0× 58 0.6× 15 1.1k
Fengshou Yin Singapore 15 965 0.9× 855 0.9× 543 0.8× 85 0.8× 50 0.5× 28 1.0k
An Ran Ran Hong Kong 16 684 0.6× 565 0.6× 101 0.1× 120 1.1× 101 1.1× 41 852
Paweł Liskowski Poland 8 553 0.5× 363 0.4× 424 0.6× 34 0.3× 158 1.7× 17 742
Fedra Hajizadeh Iran 16 575 0.5× 557 0.6× 193 0.3× 211 1.9× 32 0.3× 29 776
Rüdiger Bock Germany 7 770 0.7× 603 0.6× 436 0.6× 55 0.5× 44 0.5× 8 853
Swamidoss Issac Niwas India 14 279 0.2× 202 0.2× 212 0.3× 90 0.8× 140 1.5× 19 499
Michael Pekala United States 9 406 0.4× 334 0.4× 112 0.2× 27 0.2× 103 1.1× 16 575
Joaquim de Moura Spain 14 506 0.5× 249 0.3× 88 0.1× 136 1.2× 149 1.6× 68 604
Juhani Pietilä Finland 12 925 0.8× 739 0.8× 339 0.5× 16 0.1× 56 0.6× 26 1.0k

Countries citing papers authored by Gopal Datt Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Gopal Datt Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gopal Datt Joshi. 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 Gopal Datt Joshi. The network helps show where Gopal Datt Joshi may publish in the future.

Co-authorship network of co-authors of Gopal Datt Joshi

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

All Works

19 of 19 papers shown
1.
Faizan, Md Imam, Rohit Kumar, Siddharth Yadav, et al.. (2021). A Saliva-Based RNA Extraction-Free Workflow Integrated With Cas13a for SARS-CoV-2 Detection. Frontiers in Cellular and Infection Microbiology. 11. 632646–632646. 59 indexed citations
2.
Joshi, Aniket, Jayanthi Sivaswamy, & Gopal Datt Joshi. (2021). Lung nodule malignancy classification with weakly supervised explanation generation. Journal of Medical Imaging. 8(4). 44502–44502. 5 indexed citations
3.
Sivaswamy, Jayanthi, et al.. (2015). A Comprehensive Retinal Image Dataset for the Assessment of Glaucoma from the Optic Nerve Head Analysis. 198 indexed citations
4.
Joshi, Gopal Datt, et al.. (2015). Automated Detection of Glaucoma From Topographic Features of the Optic Nerve Head in Color Fundus Photographs. Journal of Glaucoma. 25(7). 590–597. 25 indexed citations
5.
Sivaswamy, Jayanthi, et al.. (2014). Drishti-GS: Retinal image dataset for optic nerve head(ONH) segmentation. 53–56. 340 indexed citations breakdown →
6.
Joshi, Gopal Datt, et al.. (2012). Motion pattern-based image features for glaucoma detection from retinal images. 1–8. 6 indexed citations
7.
Joshi, Gopal Datt, Jayanthi Sivaswamy, & Subbaiah Ramasamy Krishnadas. (2011). Optic Disk and Cup Segmentation From Monocular Color Retinal Images for Glaucoma Assessment. IEEE Transactions on Medical Imaging. 30(6). 1192–1205. 310 indexed citations
8.
Joshi, Gopal Datt & Jayanthi Sivaswamy. (2011). DrishtiCare: A Telescreening Platform for Diabetic Retinopathy Powered with Fundus Image Analysis. Journal of Diabetes Science and Technology. 5(1). 23–31. 12 indexed citations
9.
Ram, Keerthi, Gopal Datt Joshi, & Jayanthi Sivaswamy. (2010). A Successive Clutter-Rejection-Based Approach for Early Detection of Diabetic Retinopathy. IEEE Transactions on Biomedical Engineering. 58(3). 664–673. 97 indexed citations
10.
Joshi, Gopal Datt, et al.. (2010). Content-based retrieval of retinal images for maculopathy. 135–143. 9 indexed citations
11.
Joshi, Gopal Datt, et al.. (2010). Optic disk and cup boundary detection using regional information. 948–951. 65 indexed citations
12.
Joshi, Gopal Datt, et al.. (2010). Vessel Bend-Based Cup Segmentation in Retinal Images. 2536–2539. 25 indexed citations
13.
Joshi, Gopal Datt, R.C. Gautam, Jayanthi Sivaswamy, & S. R. Krishnadas. (2010). Robust optic disk segmentation from colour retinal images. 330–336. 2 indexed citations
14.
Joshi, Gopal Datt & Jayanthi Sivaswamy. (2008). Colour Retinal Image Enhancement Based on Domain Knowledge. 591–598. 53 indexed citations
15.
Joshi, Gopal Datt, et al.. (2008). Appearance-based object detection in colour retinal images. 1432–1435. 27 indexed citations
16.
Joshi, Gopal Datt & Jayanthi Sivaswamy. (2008). OPTIC DISK DETECTION USING TOPOGRAPHICAL FEATURES.
17.
18.
Joshi, Gopal Datt, Saurabh Garg, & Jayanthi Sivaswamy. (2007). A generalised framework for script identification. International Journal on Document Analysis and Recognition (IJDAR). 10(2). 55–68. 28 indexed citations
19.
Joshi, Gopal Datt & Jayanthi Sivaswamy. (2006). A SIMPLE SCHEME FOR CONTOUR DETECTION. 236–242. 10 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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