M. Alper Selver

100 total papers · 1.6k total citations
64 papers, 473 citations indexed

About

M. Alper Selver is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, M. Alper Selver has authored 64 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 20 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Artificial Intelligence. Recurrent topics in M. Alper Selver's work include Medical Image Segmentation Techniques (18 papers), Advanced Neural Network Applications (9 papers) and Computer Graphics and Visualization Techniques (8 papers). M. Alper Selver is often cited by papers focused on Medical Image Segmentation Techniques (18 papers), Advanced Neural Network Applications (9 papers) and Computer Graphics and Visualization Techniques (8 papers). M. Alper Selver collaborates with scholars based in Türkiye, Germany and France. M. Alper Selver's co-authors include Cüneyt Güzelіș, Oğuz Dıcle, Olcay Akay, Hakan Özdemir, Ali Emre Kavur, Felix Fischer, Mustafa Seçmen, Walter Hillen, Mustafa Barış and Naciye Sinem Gezer and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

M. Alper Selver

53 papers receiving 460 citations

Author Peers

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

Author						Papers	Cites
M. Alper Selver	230	116	91	82	66	64	473
Wei Chen	141 0.6×	44 0.4×	48 0.5×	69 0.8×	29 0.4×	60	450
Guofeng Tong	173 0.8×	63 0.5×	73 0.8×	23 0.3×	45 0.7×	44	453
Zhengming Chen	166 0.7×	104 0.9×	88 1.0×	72 0.9×	11 0.2×	41	473
Yasuyo Kita	280 1.2×	74 0.6×	113 1.2×	47 0.6×	16 0.2×	58	510
Donghai Zhai	184 0.8×	35 0.3×	85 0.9×	72 0.9×	59 0.9×	42	520
Yangzhou Gan	192 0.8×	80 0.7×	27 0.3×	69 0.8×	30 0.5×	33	465
Yankui Sun	191 0.8×	234 2.0×	56 0.6×	15 0.2×	34 0.5×	45	508
Ronald Lumia	296 1.3×	28 0.2×	62 0.7×	33 0.4×	40 0.6×	40	501
Yang Liu	301 1.3×	39 0.3×	176 1.9×	22 0.3×	57 0.9×	74	506
Chao Ma	265 1.2×	22 0.2×	78 0.9×	22 0.3×	43 0.7×	40	551

Countries citing papers authored by M. Alper Selver

Since Specialization

Citations

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

Fields of papers citing papers by M. Alper Selver

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Alper Selver. 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 M. Alper Selver. The network helps show where M. Alper Selver may publish in the future.

Co-authorship network of co-authors of M. Alper Selver

This figure shows the co-authorship network connecting the top 25 collaborators of M. Alper Selver. A scholar is included among the top collaborators of M. Alper Selver 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 M. Alper Selver. M. Alper Selver 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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