Nabin K. Mishra

1.3k total citations
8 papers, 403 citations indexed

About

Nabin K. Mishra is a scholar working on Oncology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Nabin K. Mishra has authored 8 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Epidemiology and 5 papers in Artificial Intelligence. Recurrent topics in Nabin K. Mishra's work include Cutaneous Melanoma Detection and Management (7 papers), Nonmelanoma Skin Cancer Studies (5 papers) and AI in cancer detection (5 papers). Nabin K. Mishra is often cited by papers focused on Cutaneous Melanoma Detection and Management (7 papers), Nonmelanoma Skin Cancer Studies (5 papers) and AI in cancer detection (5 papers). Nabin K. Mishra collaborates with scholars based in United States, Algeria and Austria. Nabin K. Mishra's co-authors include M. Emre Celebi, Michael A. Marchetti, Stephen W. Dusza, Brian Helba, Aadi Kalloo, Allan C. Halpern, Noel Codella, David Gutman, Ashfaq A. Marghoob and Natalia Jaimes and has published in prestigious journals such as Journal of the American Academy of Dermatology, IEEE Transactions on Instrumentation and Measurement and Skin Research and Technology.

In The Last Decade

Nabin K. Mishra

8 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nabin K. Mishra United States	6	305	250	115	58	50	8	403
Aadi Kalloo United States	5	317 1.0×	264 1.1×	133 1.2×	42 0.7×	41 0.8×	10	434
Jason Hagerty United States	11	273 0.9×	220 0.9×	94 0.8×	76 1.3×	52 1.0×	26	402
Brian Helba United States	8	477 1.6×	371 1.5×	168 1.5×	50 0.9×	73 1.5×	11	681
Roberta B. Oliveira Brazil	6	388 1.3×	292 1.2×	122 1.1×	125 2.2×	73 1.5×	22	540
Reda Kasmi Algeria	9	429 1.4×	333 1.3×	125 1.1×	77 1.3×	70 1.4×	11	514
Ebrahim Nasr-Esfahani Iran	7	292 1.0×	263 1.1×	92 0.8×	154 2.7×	68 1.4×	10	527
Ammara Masood Australia	8	268 0.9×	235 0.9×	76 0.7×	66 1.1×	46 0.9×	13	366
Maryam Sadeghi Canada	11	222 0.7×	160 0.6×	36 0.3×	79 1.4×	77 1.5×	23	354
Michael Binder Austria	8	424 1.4×	178 0.7×	131 1.1×	32 0.6×	132 2.6×	11	545
Marc Combalia Spain	10	217 0.7×	172 0.7×	95 0.8×	19 0.3×	40 0.8×	23	441

Countries citing papers authored by Nabin K. Mishra

Since Specialization

Citations

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

Fields of papers citing papers by Nabin K. Mishra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nabin K. Mishra. 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 Nabin K. Mishra. The network helps show where Nabin K. Mishra may publish in the future.

Co-authorship network of co-authors of Nabin K. Mishra

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

All Works

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8 of 8 papers shown

Mishra, Nabin K., Ravneet Kaur, Reda Kasmi, et al.. (2019). Automatic lesion border selection in dermoscopy images using morphology and color features. Skin Research and Technology. 25(4). 544–552. 13 indexed citations

Codella, Noel, David Gutman, M. Emre Celebi, et al.. (2018). Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC). arXiv (Cornell University). 168–172. 125 indexed citations

Moss, Randy H., et al.. (2017). Adaptable Ring for Vision-Based Measurements and Shape Analysis. IEEE Transactions on Instrumentation and Measurement. 66(4). 746–756. 23 indexed citations

Marchetti, Michael A., Noel Codella, Stephen W. Dusza, et al.. (2017). Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images. Journal of the American Academy of Dermatology. 78(2). 270–277.e1. 212 indexed citations

Mishra, Nabin K., Ravneet Kaur, Reda Kasmi, et al.. (2017). Automatic Separation of Basal Cell Carcinoma from Benign Lesions in Dermoscopy Images with Border Thresholding Techniques. 115–123. 3 indexed citations

Kaur, Ravneet, et al.. (2016). Adaptable texture‐based segmentation by variance and intensity for automatic detection of semitranslucent and pink blush areas in basal cell carcinoma. Skin Research and Technology. 22(4). 412–422. 11 indexed citations

Kaur, Ravneet, Nabin K. Mishra, Jason Hagerty, et al.. (2016). Thresholding methods for lesion segmentation of basal cell carcinoma in dermoscopy images. Skin Research and Technology. 23(3). 416–428. 14 indexed citations

Stoecker, William V., et al.. (2013). Automatic Detection of Skin Cancer - Current Status, Path for the Future. 504–508. 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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