Ella Barkan

779 total citations
14 papers, 273 citations indexed

About

Ella Barkan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ella Barkan has authored 14 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ella Barkan's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Handwritten Text Recognition Techniques (2 papers). Ella Barkan is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Handwritten Text Recognition Techniques (2 papers). Ella Barkan collaborates with scholars based in Israel, United States and Italy. Ella Barkan's co-authors include Ayelet Akselrod-Ballin, Michal Rosen‐Zvi, Sharon Alpert, Sharbell Hashoul, Yoel Shoshan, Michal Guindy, Adam Spiro, Varda Shalev, Michal Chorev and Pavel Kisilev and has published in prestigious journals such as Radiology, Metabolism and Frontiers in Oncology.

In The Last Decade

Ella Barkan

14 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ella Barkan Israel	8	197	178	57	54	54	14	273
Eleftherios Trivizakis Greece	9	191 1.0×	267 1.5×	50 0.9×	56 1.0×	48 0.9×	16	389
Firas Khader Germany	9	164 0.8×	192 1.1×	84 1.5×	23 0.4×	52 1.0×	17	376
Tianyu Zhang China	11	181 0.9×	212 1.2×	26 0.5×	51 0.9×	69 1.3×	31	372
Ivy Liang United States	2	228 1.2×	161 0.9×	72 1.3×	26 0.5×	72 1.3×	3	385
Ronnachai Jaroensri United States	5	200 1.0×	151 0.8×	61 1.1×	25 0.5×	54 1.0×	7	328
Jesper Molin Sweden	8	242 1.2×	123 0.7×	68 1.2×	27 0.5×	27 0.5×	18	318
Emi Yamaga Japan	9	152 0.8×	225 1.3×	27 0.5×	46 0.9×	25 0.5×	28	311
Satyananda Kashyap United States	8	87 0.4×	156 0.9×	54 0.9×	41 0.8×	56 1.0×	18	276
Mehmet Ufuk Dalmış Netherlands	9	253 1.3×	367 2.1×	37 0.6×	64 1.2×	32 0.6×	10	433

Countries citing papers authored by Ella Barkan

Since Specialization

Citations

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

Fields of papers citing papers by Ella Barkan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ella Barkan

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

All Works

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14 of 14 papers shown

Barkan, Ella, Kevin J. Cheng, Yoel Shoshan, et al.. (2025). Leveraging large language models to predict antibody biological activity against influenza A hemagglutinin. Computational and Structural Biotechnology Journal. 27. 1286–1295. 2 indexed citations

Barkan, Ella, Camillo Porta, Simona Rabinovici‐Cohen, et al.. (2023). Artificial intelligence-based prediction of overall survival in metastatic renal cell carcinoma. Frontiers in Oncology. 13. 1021684–1021684. 10 indexed citations

Chorev, Michal, Adam Spiro, Ella Evron, et al.. (2023). Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment. PubMed. 2022. 385–394. 2 indexed citations

Tlusty, Tsvi, et al.. (2022). Virtual Biopsy by Using Artificial Intelligence–based Multimodal Modeling of Binational Mammography Data. Radiology. 306(3). e220027–e220027. 10 indexed citations

Shoshan, Yoel, Vadim Ratner, Ella Barkan, et al.. (2022). Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis. Radiology. 303(1). 69–77. 40 indexed citations

Akselrod-Ballin, Ayelet, Michal Chorev, Yoel Shoshan, et al.. (2019). Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms. Radiology. 292(2). 331–342. 126 indexed citations

Ben‐Ari, Rami, et al.. (2017). Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network. Eurographics. 11–19. 12 indexed citations

Akselrod-Ballin, Ayelet, Leonid Karlinsky, Sharon Alpert, et al.. (2017). A CNN based method for automatic mass detection and classification in mammograms. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 7(3). 242–249. 24 indexed citations

Kisilev, Pavel, Eugene Walach, Ella Barkan, et al.. (2015). From medical image to automatic medical report generation. IBM Journal of Research and Development. 59(2/3). 2:1–2:7. 31 indexed citations

10.

Kisilev, Pavel, Eugene Walach, Sharbell Hashoul, et al.. (2015). Semantic description of medical image findings: structured learning approach. 171.1–171.11. 8 indexed citations

11.

Ophir, Boaz, et al.. (2011). Detection and Segmentation of Antialiased Text in Screen Images. 424–428. 2 indexed citations

12.

Barkan, Ella, et al.. (2009). A Generic Form Processing Approach for Large Variant Templates. 311–315. 4 indexed citations

13.

Barkan, Ella & Dan Gordon. (1999). The scanline principle: efficient conversion of display algorithms into scanline mode. The Visual Computer. 15(5). 249–264. 1 indexed citations

14.

Klein, A., et al.. (1980). Liver diseases and cancer associated with lack of lymphocytic cortisol metabolism enhancing factor. Metabolism. 29(8). 780–786. 1 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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