Bora Baydar

828 total citations
3 papers, 59 citations indexed

About

Bora Baydar is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oceanography. According to data from OpenAlex, Bora Baydar has authored 3 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Oceanography. Recurrent topics in Bora Baydar's work include COVID-19 diagnosis using AI (2 papers), Underwater Acoustics Research (1 paper) and Speech and Audio Processing (1 paper). Bora Baydar is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Underwater Acoustics Research (1 paper) and Speech and Audio Processing (1 paper). Bora Baydar collaborates with scholars based in Türkiye. Bora Baydar's co-authors include M. Alper Selver, Savaş Özkan, Ali Emre Kavur, Gözde Bozdağı Akar, Mustafa Barış, Gözde Ünal, Oğuz Dıcle, Naciye Sinem Gezer and Seniha Esen Yüksel and has published in prestigious journals such as IEEE Transactions on Emerging Topics in Computational Intelligence, Diagnostic and Interventional Radiology and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Bora Baydar

3 papers receiving 57 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bora Baydar Türkiye	2	33	21	20	12	10	3	59
Ali Emre Kavur Türkiye	4	48 1.5×	41 2.0×	35 1.8×	13 1.1×	17 1.7×	8	109
Tzu-Ming Harry Hsu United States	9	51 1.5×	57 2.7×	25 1.3×	6 0.5×	29 2.9×	10	164
Matthias Perkonigg Austria	4	37 1.1×	28 1.3×	17 0.8×	6 0.5×	10 1.0×	6	65
Senhu Li United States	7	50 1.5×	15 0.7×	37 1.9×	4 0.3×	45 4.5×	9	97
Chenglang Yuan China	5	53 1.6×	49 2.3×	43 2.1×	6 0.5×	23 2.3×	7	111
Kinda Anna Saddi United Kingdom	5	76 2.3×	14 0.7×	52 2.6×	8 0.7×	31 3.1×	7	107
Jacob Peoples Canada	4	38 1.2×	9 0.4×	6 0.3×	11 0.9×	10 1.0×	9	54
Refael Vivanti Israel	4	86 2.6×	47 2.2×	27 1.4×	19 1.6×	32 3.2×	5	130
Tobias Norajitra Germany	5	25 0.8×	9 0.4×	17 0.8×	3 0.3×	26 2.6×	15	80

Countries citing papers authored by Bora Baydar

Since Specialization

Citations

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

Fields of papers citing papers by Bora Baydar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bora Baydar

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

All Works

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3 of 3 papers shown

1.

Özkan, Savaş, et al.. (2024). Cross-Modal Learning via Adversarial Loss and Covariate Shift for Enhanced Liver Segmentation. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(4). 2723–2735. 4 indexed citations

2.

Kavur, Ali Emre, Naciye Sinem Gezer, Mustafa Barış, et al.. (2019). Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors. Diagnostic and Interventional Radiology. 26(1). 11–21. 54 indexed citations

3.

Baydar, Bora, et al.. (2016). Fusion of KLMS and blob based pre-screener for buried landmine detection using ground penetrating radar. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9823. 98231D–98231D. 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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