Ashkan Yazdani

26 total papers · 766 total citations
16 papers, 358 citations indexed

About

Ashkan Yazdani is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ashkan Yazdani has authored 16 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 7 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ashkan Yazdani's work include EEG and Brain-Computer Interfaces (9 papers), Neural dynamics and brain function (5 papers) and Blind Source Separation Techniques (4 papers). Ashkan Yazdani is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Neural dynamics and brain function (5 papers) and Blind Source Separation Techniques (4 papers). Ashkan Yazdani collaborates with scholars based in Switzerland, Iran and Spain. Ashkan Yazdani's co-authors include Touradj Ebrahimi, Jean-Marc Vésin, Jong‐Seok Lee, Ulrich Hoffmann, Eleni Kroupi, Seyed Kamaledin Setarehdan, Babak Nadjar Araabi, Caro Lucas, Dario Izzo and Christos Ampatzis and has published in prestigious journals such as ACM Transactions on Multimedia Computing Communications and Applications, ACM Transactions on Interactive Intelligent Systems and EURASIP Journal on Image and Video Processing.

In The Last Decade

Ashkan Yazdani

15 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
Ashkan Yazdani	201	118	79	78	72	16	358
Jonathan Dowdall	66 0.3×	74 0.6×	37 0.5×	81 1.0×	109 1.5×	10	374
Andrea Petracca	218 1.1×	96 0.8×	29 0.4×	13 0.2×	51 0.7×	17	336
Eero Väyrynen	179 0.9×	124 1.1×	60 0.8×	26 0.3×	26 0.4×	25	361
Shkurta Gashi	155 0.8×	117 1.0×	14 0.2×	67 0.9×	48 0.7×	20	372
Koel Das	250 1.2×	29 0.2×	42 0.5×	61 0.8×	59 0.8×	30	377
Eunjin Jeon	238 1.2×	67 0.6×	30 0.4×	13 0.2×	36 0.5×	19	313
S.I. Kim	140 0.7×	47 0.4×	19 0.2×	25 0.3×	68 0.9×	17	383
Jeska Buhmann	171 0.9×	59 0.5×	29 0.4×	38 0.5×	29 0.4×	20	319
Aruna Chakraborty	78 0.4×	98 0.8×	31 0.4×	107 1.4×	24 0.3×	29	383
Charalampos Saitis	169 0.8×	90 0.8×	79 1.0×	99 1.3×	26 0.4×	31	299

Countries citing papers authored by Ashkan Yazdani

Since Specialization

Citations

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

Fields of papers citing papers by Ashkan Yazdani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashkan Yazdani

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