Mert Pilancı

205 total papers · 1.2k total citations
46 papers, 364 citations indexed

About

Mert Pilancı is a scholar working on Computational Mechanics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mert Pilancı has authored 46 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 25 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mert Pilancı's work include Sparse and Compressive Sensing Techniques (25 papers), Stochastic Gradient Optimization Techniques (19 papers) and Machine Learning and Algorithms (4 papers). Mert Pilancı is often cited by papers focused on Sparse and Compressive Sensing Techniques (25 papers), Stochastic Gradient Optimization Techniques (19 papers) and Machine Learning and Algorithms (4 papers). Mert Pilancı collaborates with scholars based in United States, Türkiye and United Kingdom. Mert Pilancı's co-authors include Martin J. Wainwright, Yun Yang, Laurent El Ghaoui, Orhan Arıkan, Venkat Chandrasekaran, Mustafa Ç. Pı̆nar, Alfred O. Hero, Boris Murmann, Hessam Mahdavifar and Tolga Ergen and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and Magnetic Resonance in Medicine.

In The Last Decade

Mert Pilancı

37 papers receiving 349 citations

Author Peers

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

Author						Papers	Cites
Mert Pilancı	186	185	71	59	49	46	364
Bamdev Mishra	222 1.2×	135 0.7×	25 0.4×	130 2.2×	53 1.1×	31	402
Max Simchowitz	147 0.8×	139 0.8×	16 0.2×	66 1.1×	51 1.0×	18	320
Luis Rademacher	180 1.0×	193 1.0×	29 0.4×	96 1.6×	29 0.6×	26	399
Vugar E. Ismailov	53 0.3×	223 1.2×	26 0.4×	52 0.9×	27 0.6×	34	384
Niao He	105 0.6×	196 1.1×	22 0.3×	48 0.8×	20 0.4×	29	379
Yuyuan Ouyang	243 1.3×	142 0.8×	20 0.3×	38 0.6×	133 2.7×	17	346
Venkat Chandrasekaran	157 0.8×	91 0.5×	43 0.6×	65 1.1×	12 0.2×	26	370
Adityanand Guntuboyina	99 0.5×	110 0.6×	219 3.1×	33 0.6×	15 0.3×	28	347
Yunwen Lei	109 0.6×	238 1.3×	19 0.3×	94 1.6×	9 0.2×	51	347
Ying Cui	138 0.7×	43 0.2×	48 0.7×	44 0.7×	106 2.2×	26	292

Countries citing papers authored by Mert Pilancı

Since Specialization

Citations

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

Fields of papers citing papers by Mert Pilancı

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mert Pilancı

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