Berin Martini

15 total papers · 1.5k total citations
13 papers, 949 citations indexed

About

Berin Martini is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Berin Martini has authored 13 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Berin Martini's work include CCD and CMOS Imaging Sensors (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Neural Network Applications (5 papers). Berin Martini is often cited by papers focused on CCD and CMOS Imaging Sensors (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Neural Network Applications (5 papers). Berin Martini collaborates with scholars based in United States. Berin Martini's co-authors include Eugenio Culurciello, Clément Farabet, Yann LeCun, Jonghoon Jin, Ayşegül Dündar, Vinayak Gokhale, Wei Tang, Dong‐Soo Kim, Chenxi Huang and Vincent A. Pieribone and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems I Regular Papers and DR-NTU (Nanyang Technological University).

In The Last Decade

Berin Martini

13 papers receiving 915 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Berin Martini	616	591	251	151	89	13	949
Changhyeon Kim	664 1.1×	484 0.8×	225 0.9×	92 0.6×	117 1.3×	36	1.1k
Yu Wang	827 1.3×	395 0.7×	309 1.2×	221 1.5×	46 0.5×	34	1.1k
Bert Moons	776 1.3×	434 0.7×	294 1.2×	150 1.0×	54 0.6×	18	1.1k
Jinmook Lee	821 1.3×	713 1.2×	385 1.5×	150 1.0×	33 0.4×	25	1.2k
Alicia Klinefelter	752 1.2×	216 0.4×	118 0.5×	226 1.5×	240 2.7×	19	1.0k
Sanghoon Kang	655 1.1×	606 1.0×	300 1.2×	114 0.8×	36 0.4×	48	1.1k
Jaeha Kung	529 0.9×	300 0.5×	228 0.9×	223 1.5×	41 0.5×	50	812
Robert Fasthuber	579 0.9×	488 0.8×	228 0.9×	217 1.4×	46 0.5×	17	847
Matthieu Courbariaux	346 0.6×	619 1.0×	486 1.9×	67 0.4×	21 0.2×	5	917
Giuseppe Tagliavini	499 0.8×	202 0.3×	118 0.5×	385 2.5×	56 0.6×	52	870

Countries citing papers authored by Berin Martini

Since Specialization

Citations

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

Fields of papers citing papers by Berin Martini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Berin Martini

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

All Works

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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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