Yaniv Bar

879 total citations
4 papers, 487 citations indexed

About

Yaniv Bar is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yaniv Bar has authored 4 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Yaniv Bar's work include Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers) and AI in cancer detection (3 papers). Yaniv Bar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers) and AI in cancer detection (3 papers). Yaniv Bar collaborates with scholars based in Israel. Yaniv Bar's co-authors include Lior Wolf, Hayit Greenspan, Idit Diamant, Eli Konen, Sivan Lieberman, Nachum Dershowitz, Yaacov Choueka and Tamir Hazan and has published in prestigious journals such as Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Yaniv Bar

4 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaniv Bar Israel	3	282	238	139	80	52	4	487
Jie-Zhi Cheng Taiwan	6	393 1.4×	325 1.4×	148 1.1×	115 1.4×	83 1.6×	6	620
Cai Chang China	14	330 1.2×	315 1.3×	117 0.8×	53 0.7×	68 1.3×	39	548
Ja-Yeon Jeong South Korea	8	263 0.9×	242 1.0×	95 0.7×	43 0.5×	60 1.2×	14	398
Seyedehnafiseh Mirniaharikandehei United States	9	374 1.3×	306 1.3×	84 0.6×	93 1.2×	30 0.6×	25	512
Adam P. Harrison United States	14	338 1.2×	197 0.8×	269 1.9×	48 0.6×	96 1.8×	28	568
Tahir Mahmood South Korea	13	342 1.2×	232 1.0×	192 1.4×	61 0.8×	77 1.5×	30	620
Avi Ben-Cohen Israel	8	262 0.9×	209 0.9×	100 0.7×	68 0.8×	118 2.3×	10	594
Tao Tan China	12	170 0.6×	161 0.7×	87 0.6×	62 0.8×	69 1.3×	55	403
Farhad Ghazvinian Zanjani Netherlands	9	147 0.5×	185 0.8×	149 1.1×	35 0.4×	54 1.0×	17	353
Abolfazl Zargari Khuzani United States	6	400 1.4×	296 1.2×	95 0.7×	67 0.8×	19 0.4×	13	503

Countries citing papers authored by Yaniv Bar

Since Specialization

Citations

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

Fields of papers citing papers by Yaniv Bar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaniv Bar

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

All Works

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4 of 4 papers shown

1.

Bar, Yaniv, Idit Diamant, Lior Wolf, et al.. (2016). Chest pathology identification using deep feature selection with non-medical training. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 6(3). 259–263. 43 indexed citations

2.

Bar, Yaniv, Idit Diamant, Lior Wolf, & Hayit Greenspan. (2015). Deep learning with non-medical training used for chest pathology identification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9414. 94140V–94140V. 198 indexed citations

3.

Bar, Yaniv, Idit Diamant, Lior Wolf, et al.. (2015). Chest pathology detection using deep learning with non-medical training. 294–297. 244 indexed citations

4.

Wolf, Lior, et al.. (2014). Congruency-Based Reranking. 16. 2107–2114. 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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