Semih Günel

490 total citations
7 papers, 223 citations indexed

About

Semih Günel is a scholar working on Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition and Genetics. According to data from OpenAlex, Semih Günel has authored 7 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Genetics. Recurrent topics in Semih Günel's work include Neurobiology and Insect Physiology Research (3 papers), Advanced Vision and Imaging (2 papers) and Video Surveillance and Tracking Methods (2 papers). Semih Günel is often cited by papers focused on Neurobiology and Insect Physiology Research (3 papers), Advanced Vision and Imaging (2 papers) and Video Surveillance and Tracking Methods (2 papers). Semih Günel collaborates with scholars based in Switzerland, Canada and France. Semih Günel's co-authors include Helge Rhodin, Pavan P Ramdya, Pascal Fua, Daniel Morales, Siyuan Li, Chin‐Lin Chen, Barry J. Dickson, Ryo Minegishi, Murat Kaynak and Mahmut Selman Sakar and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Nature Methods.

In The Last Decade

Semih Günel

7 papers receiving 218 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Semih Günel Switzerland	6	69	53	48	41	35	7	223
Evyn S Dickinson United States	5	42 0.6×	38 0.7×	109 2.3×	57 1.4×	51 1.5×	6	246
Francisco Romero-Ferrero Portugal	3	48 0.7×	53 1.0×	18 0.4×	64 1.6×	38 1.1×	3	288
Benjamin Koger Germany	5	103 1.5×	68 1.3×	36 0.8×	87 2.1×	54 1.5×	7	407
Elischa Sanders United States	4	42 0.6×	26 0.5×	88 1.8×	118 2.9×	58 1.7×	4	302
Daniel Morales Canada	9	51 0.7×	112 2.1×	170 3.5×	26 0.6×	25 0.7×	16	384
Hemal Naik Germany	7	134 1.9×	78 1.5×	41 0.9×	91 2.2×	56 1.6×	12	451
Pierre Karashchuk United States	4	44 0.6×	27 0.5×	25 0.5×	22 0.5×	12 0.3×	6	194
William Lee Wang United States	2	28 0.4×	56 1.1×	34 0.7×	35 0.9×	16 0.5×	5	188
Sarah Walling-Bell United States	2	42 0.6×	25 0.5×	21 0.4×	19 0.5×	10 0.3×	4	137
Olivier J. N. Bertrand Germany	10	37 0.5×	29 0.5×	118 2.5×	101 2.5×	70 2.0×	22	279

Countries citing papers authored by Semih Günel

Since Specialization

Citations

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

Fields of papers citing papers by Semih Günel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Semih Günel

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

All Works

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7 of 7 papers shown

1.

Chen, Chin‐Lin, et al.. (2023). Ascending neurons convey behavioral state to integrative sensory and action selection brain regions. Nature Neuroscience. 26(4). 682–695. 19 indexed citations

2.

Günel, Semih, et al.. (2022). Overcoming the Domain Gap in Neural Action Representations. International Journal of Computer Vision. 131(3). 813–833. 1 indexed citations

3.

Kaynak, Murat, et al.. (2022). Microengineered devices enable long-term imaging of the ventral nerve cord in behaving adult Drosophila. Nature Communications. 13(1). 5006–5006. 10 indexed citations

4.

Günel, Semih, et al.. (2021). LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals. Nature Methods. 18(8). 975–981. 49 indexed citations

5.

Li, Siyuan, et al.. (2020). Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 13155–13165. 23 indexed citations

6.

Günel, Semih, et al.. (2019). DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila. eLife. 8. 108 indexed citations

7.

Günel, Semih, Helge Rhodin, & Pascal Fua. (2019). What Face and Body Shapes Can Tell Us About Height. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1819–1827. 13 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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