Evrim Acar

4.3k citations
60 papers · 2.4k indexed · 1 hit paper · h-index 24
Topics
Tensor decomposition and applications (39 papers)Blind Source Separation Techniques (16 papers)Advanced Neuroimaging Techniques and Applications (13 papers)

In The Last Decade

Evrim Acar

57 papers receiving 2.4k citations

Hit Papers

Scalable tensor factorizations for incomplete data20102026201520202010100200300400

Peers

Evrim Acar
Comparison fields: 5 of 138
  • Computational Mathematics 1.3k
  • Artificial Intelligence 512
  • Signal Processing 453
  • Computational Mechanics 372
  • Radiology, Nuclear Medicine and Imaging 365
Replace Rafał Zdunek with:
Rafał Zdunek Poland
Xiao Fu United States
Canyi Lu China
Prateek Jain India
Margaret E. Lundy Canada
Nicolas Gillis Belgium
Seungjin Choi South Korea
Yongyong Chen China
Fanhua Shang China
Zhong Jin China
Evrim Acar relative to Rafał Zdunek Poland Rafał Zdunek's profile →
Citations per field
00.5×1.6×
Rafał Zdunek · 1×
Citations per year

Countries citing papers authored by Evrim Acar

Since Specialization
Citations

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

Fields of papers citing papers by Evrim Acar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evrim Acar

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 4
5 1
6 6
7 5
8 2
9 15
10 10
11 2
12 18
13 37
14 32
15 77
16 12
17 94
18 27
19 24
20
Computational analysis of epileptic focus localization
14

About Evrim Acar

Evrim Acar is a scholar working on Computational Mathematics, Signal Processing and Analytical Chemistry, having authored 60 papers that have together received 2.4k indexed citations. Recurring topics across this work include Tensor decomposition and applications (39 papers), Blind Source Separation Techniques (16 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). The work is most often cited by research in Computational Mathematics (1.3k citations), Signal Processing (453 citations) and Computational Mechanics (372 citations). Evrim Acar has collaborated with scholars based in Denmark, Norway and United States. Frequent co-authors include Tamara G. Kolda, Daniel Dunlavy, Bülent Yener, Rasmus Bro, Morten Mørup, Canan Aykut Bingöl, Haluk O. Bingol, Morten Arendt Rasmussen, Beyza Ermiş and Ali Taylan Cemgil. Their work appears in journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.

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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