Oğuzhan Teke

40 total papers · 451 total citations
28 papers, 325 citations indexed

About

Oğuzhan Teke is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computational Mechanics. According to data from OpenAlex, Oğuzhan Teke has authored 28 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Statistical and Nonlinear Physics and 7 papers in Computational Mechanics. Recurrent topics in Oğuzhan Teke's work include Advanced Graph Neural Networks (18 papers), Complex Network Analysis Techniques (13 papers) and Sparse and Compressive Sensing Techniques (7 papers). Oğuzhan Teke is often cited by papers focused on Advanced Graph Neural Networks (18 papers), Complex Network Analysis Techniques (13 papers) and Sparse and Compressive Sensing Techniques (7 papers). Oğuzhan Teke collaborates with scholars based in United States and Türkiye. Oğuzhan Teke's co-authors include P. P. Vaidyanathan, Ali Cafer Gürbüz and Orhan Arıkan and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Access and IEEE Signal Processing Magazine.

In The Last Decade

Oğuzhan Teke

26 papers receiving 321 citations

Author Peers

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

Author						Papers	Cites
Oğuzhan Teke	184	107	85	55	53	28	325
Mario Coutiño	155 0.8×	65 0.6×	52 0.6×	54 1.0×	17 0.3×	40	277
Xinyue Shen	109 0.6×	47 0.4×	114 1.3×	16 0.3×	35 0.7×	17	291
Junzheng Jiang	136 0.7×	53 0.5×	40 0.5×	48 0.9×	7 0.1×	47	329
Ha Q. Nguyen	149 0.8×	34 0.3×	30 0.4×	12 0.2×	50 0.9×	24	333
Stéphane Azou	89 0.5×	40 0.4×	16 0.2×	75 1.4×	49 0.9×	39	309
Luc Le Magoarou	108 0.6×	29 0.3×	41 0.5×	66 1.2×	12 0.2×	30	292
James Saunderson	108 0.6×	24 0.2×	33 0.4×	21 0.4×	15 0.3×	32	279
Lorenzo Finesso	66 0.4×	30 0.3×	24 0.3×	19 0.3×	18 0.3×	29	261
Roberto Pagliari	88 0.5×	31 0.3×	28 0.3×	17 0.3×	53 1.0×	19	333
Max Simchowitz	139 0.8×	28 0.3×	147 1.7×	9 0.2×	16 0.3×	18	320

Countries citing papers authored by Oğuzhan Teke

Since Specialization

Citations

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

Fields of papers citing papers by Oğuzhan Teke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oğuzhan Teke

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