Brian Helba

4.1k total citations
11 papers, 681 citations indexed

About

Brian Helba is a scholar working on Oncology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Brian Helba has authored 11 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Artificial Intelligence and 4 papers in Epidemiology. Recurrent topics in Brian Helba's work include Cutaneous Melanoma Detection and Management (7 papers), AI in cancer detection (6 papers) and Nonmelanoma Skin Cancer Studies (4 papers). Brian Helba is often cited by papers focused on Cutaneous Melanoma Detection and Management (7 papers), AI in cancer detection (6 papers) and Nonmelanoma Skin Cancer Studies (4 papers). Brian Helba collaborates with scholars based in United States, Spain and Austria. Brian Helba's co-authors include Allan C. Halpern, Noel Codella, David Gutman, Stephen W. Dusza, Michael A. Marchetti, M. Emre Celebi, Aadi Kalloo, Konstantinos Liopyris, Nabin K. Mishra and Harald Kittler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Academy of Dermatology and Scientific Data.

In The Last Decade

Brian Helba

11 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Helba United States	8	477	371	168	82	75	11	681
David Gutman United States	8	476 1.0×	354 1.0×	159 0.9×	66 0.8×	78 1.0×	21	673
Ferdinand Toberer Germany	12	403 0.8×	297 0.8×	156 0.9×	60 0.7×	125 1.7×	82	670
Stefan Fröhling Germany	8	500 1.0×	467 1.3×	168 1.0×	163 2.0×	73 1.0×	10	793
Woohyung Lim South Korea	7	590 1.2×	522 1.4×	243 1.4×	130 1.6×	124 1.7×	14	933
Rusong Meng China	12	357 0.7×	234 0.6×	123 0.7×	48 0.6×	100 1.3×	29	580
Max Schmitt Germany	11	269 0.6×	276 0.7×	87 0.5×	148 1.8×	34 0.5×	16	549
Nabin K. Mishra United States	6	305 0.6×	250 0.7×	115 0.7×	42 0.5×	43 0.6×	8	403
Konstantinos Liopyris United States	17	737 1.5×	312 0.8×	423 2.5×	61 0.7×	334 4.5×	49	996
Marc Combalia Spain	10	217 0.5×	172 0.5×	95 0.6×	36 0.4×	66 0.9×	23	441
Jennifer DeFazio United States	8	305 0.6×	178 0.5×	128 0.8×	36 0.4×	68 0.9×	15	412

Countries citing papers authored by Brian Helba

Since Specialization

Citations

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

Fields of papers citing papers by Brian Helba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Helba

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

All Works

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11 of 11 papers shown

Combalia, Marc, Sebastián Podlipnik, Noel Codella, et al.. (2024). BCN20000: Dermoscopic Lesions in the Wild. Scientific Data. 11(1). 641–641. 36 indexed citations

Combalia, Marc, Noel Codella, Veronica Rotemberg, et al.. (2022). Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge. The Lancet Digital Health. 4(5). e330–e339. 74 indexed citations

Scindia, Yogesh, Ning Yang, Luís L. Fonseca, et al.. (2022). Computational Modeling of Macrophage Iron Sequestration during Host Defense against Aspergillus. mSphere. 7(4). e0007422–e0007422. 6 indexed citations

Beezley, Jonathan, Yefeng Mei, Adam Knapp, et al.. (2021). A modular computational framework for medical digital twins. Proceedings of the National Academy of Sciences. 118(20). 48 indexed citations

Daneshjou, Roxana, Catarina Barata, Brigid Betz‐Stablein, et al.. (2021). Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology. JAMA Dermatology. 158(1). 90–90. 94 indexed citations

Marchetti, Michael A., Konstantinos Liopyris, Stephen W. Dusza, et al.. (2019). Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017. Journal of the American Academy of Dermatology. 82(3). 622–627. 63 indexed citations

Kinahan, Paul E., et al.. (2018). Simultaneous Estimation of Bias and Resolution in PET Images with a Long-Lived “Pocket” Phantom System. Tomography. 4(1). 33–41. 2 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

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

10.

Abedini, Mani, Noel Codella, Rajib Chakravorty, et al.. (2016). Multi-scale classification based lesion segmentation for dermoscopic images. PubMed. 17. 1361–1364. 2 indexed citations

11.

Henschke, Claudia I., David F. Yankelevitz, Rowena Yip, et al.. (2016). Tumor volume measurement error using computed tomography imaging in a phase II clinical trial in lung cancer. Journal of Medical Imaging. 3(3). 35505–35505. 19 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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