Khashayar Pakdaman

133 total papers · 2.6k total citations
87 papers, 1.8k citations indexed

About

Khashayar Pakdaman is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Khashayar Pakdaman has authored 87 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Statistical and Nonlinear Physics, 52 papers in Cognitive Neuroscience and 40 papers in Computer Networks and Communications. Recurrent topics in Khashayar Pakdaman's work include Neural dynamics and brain function (51 papers), stochastic dynamics and bifurcation (48 papers) and Nonlinear Dynamics and Pattern Formation (35 papers). Khashayar Pakdaman is often cited by papers focused on Neural dynamics and brain function (51 papers), stochastic dynamics and bifurcation (48 papers) and Nonlinear Dynamics and Pattern Formation (35 papers). Khashayar Pakdaman collaborates with scholars based in France, Japan and Brazil. Khashayar Pakdaman's co-authors include Seiji Tanabe, Shunsuke Sato, Gilles Wainrib, Shunsuke Sato, Pierre‐Yves Boëlle, Takashi Tateno, Delphine Salort, Benoı̂t Perthame, Taishin Nomura and C. P. Malta and has published in prestigious journals such as Nature Medicine, PLoS ONE and Emerging infectious diseases.

In The Last Decade

Khashayar Pakdaman

85 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Khashayar Pakdaman 1.2k 907 710 228 204 87 1.8k
Marko Gosak 801 0.7× 491 0.5× 413 0.6× 618 2.7× 151 0.7× 80 2.0k
Antônio M. Batista 1.2k 1.1× 865 1.0× 1.1k 1.5× 123 0.5× 181 0.9× 147 1.9k
S. R. Lopes 1.4k 1.2× 809 0.9× 1.1k 1.6× 159 0.7× 89 0.4× 147 2.1k
Jacques Bélair 803 0.7× 294 0.3× 862 1.2× 230 1.0× 364 1.8× 54 2.2k
Syamal K. Dana 1.5k 1.3× 479 0.5× 1.6k 2.2× 144 0.6× 87 0.4× 103 2.2k
Peng Ji 735 0.6× 386 0.4× 1.0k 1.5× 129 0.6× 68 0.3× 62 1.7k
Mathieu Desroches 1.1k 1.0× 486 0.5× 964 1.4× 204 0.9× 24 0.1× 73 1.7k
Raffaella Burioni 839 0.7× 278 0.3× 244 0.3× 320 1.4× 131 0.6× 110 1.7k
Yuexi Peng 905 0.8× 269 0.3× 356 0.5× 61 0.3× 448 2.2× 40 1.7k
Stephan A. van Gils 424 0.4× 259 0.3× 390 0.5× 123 0.5× 119 0.6× 78 1.6k

Countries citing papers authored by Khashayar Pakdaman

Since Specialization
Citations

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

Fields of papers citing papers by Khashayar Pakdaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khashayar Pakdaman

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