Melih Kandemir

85 total papers · 1.4k total citations
32 papers, 511 citations indexed

About

Melih Kandemir is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Melih Kandemir has authored 32 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Melih Kandemir's work include Image Retrieval and Classification Techniques (8 papers), AI in cancer detection (6 papers) and Gaussian Processes and Bayesian Inference (5 papers). Melih Kandemir is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), AI in cancer detection (6 papers) and Gaussian Processes and Bayesian Inference (5 papers). Melih Kandemir collaborates with scholars based in Germany, Türkiye and Finland. Melih Kandemir's co-authors include Fred A. Hamprecht, Çiğdem Gündüz-Demir, Akif Burak Tosun, Cenk Sökmensüer, Samuel Kaski, Chong Zhang, Arto Klami, Axel Walch, Annette Feuchtinger and Mehmet Gönen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Pattern Recognition.

In The Last Decade

Melih Kandemir

30 papers receiving 490 citations

Author Peers

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

Author						Papers	Cites
Melih Kandemir	327	301	124	54	39	32	511
Javier Civit-Masot	194 0.6×	154 0.5×	261 2.1×	23 0.4×	35 0.9×	22	509
G.M. te Brake	445 1.4×	283 0.9×	236 1.9×	85 1.6×	24 0.6×	17	596
Maria Frucci	188 0.6×	272 0.9×	158 1.3×	23 0.4×	26 0.7×	40	573
Pratheepan Yogarajah	143 0.4×	259 0.9×	78 0.6×	29 0.5×	45 1.2×	47	524
Sang‐Woong Lee	231 0.7×	211 0.7×	117 0.9×	10 0.2×	69 1.8×	19	516
Arfan Jaffar	216 0.7×	159 0.5×	205 1.7×	21 0.4×	15 0.4×	57	564
Wenjin Lu	286 0.9×	307 1.0×	110 0.9×	11 0.2×	9 0.2×	33	564
Ibrahim Abdulrab Ahmed	196 0.6×	82 0.3×	132 1.1×	43 0.8×	112 2.9×	33	519
Alessandro Ortis	137 0.4×	187 0.6×	36 0.3×	14 0.3×	34 0.9×	42	540
I. Jeena Jacob	137 0.4×	180 0.6×	38 0.3×	60 1.1×	12 0.3×	38	495

Countries citing papers authored by Melih Kandemir

Since Specialization

Citations

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

Fields of papers citing papers by Melih Kandemir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melih Kandemir

This figure shows the co-authorship network connecting the top 25 collaborators of Melih Kandemir. A scholar is included among the top collaborators of Melih Kandemir 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 Melih Kandemir. Melih Kandemir 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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