Spase Petkoski

107 total papers · 2.1k total citations
32 papers, 842 citations indexed

About

Spase Petkoski is a scholar working on Cognitive Neuroscience, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Spase Petkoski has authored 32 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 12 papers in Computer Networks and Communications and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Spase Petkoski's work include Neural dynamics and brain function (23 papers), Functional Brain Connectivity Studies (21 papers) and Nonlinear Dynamics and Pattern Formation (12 papers). Spase Petkoski is often cited by papers focused on Neural dynamics and brain function (23 papers), Functional Brain Connectivity Studies (21 papers) and Nonlinear Dynamics and Pattern Formation (12 papers). Spase Petkoski collaborates with scholars based in France, United Kingdom and Germany. Spase Petkoski's co-authors include Viktor Jirsa, Aneta Stefanovska, P. V. E. McClintock, Fabrice Bartoloméi, Maxime Guye, Dmytro Iatsenko, Benjamin Morillon, J. Matias Palva, Simona Olmi and Rita Sleimen-Malkoun and has published in prestigious journals such as Physical Review Letters, Nature Communications and Journal of Neuroscience.

In The Last Decade

Spase Petkoski

29 papers receiving 837 citations

Author Peers

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

Author						Papers	Cites
Spase Petkoski	645	240	134	127	89	32	842
Dongchuan Yu	496 0.8×	306 1.3×	83 0.6×	341 2.7×	72 0.8×	53	974
Stephan Bialonski	705 1.1×	154 0.6×	54 0.4×	185 1.5×	129 1.4×	21	936
Bhim M. Adhikari	636 1.0×	187 0.8×	153 1.1×	172 1.4×	58 0.7×	54	928
Alfred B. Yu	533 0.8×	62 0.3×	143 1.1×	56 0.4×	71 0.8×	17	831
Andreas Galka	552 0.9×	47 0.2×	142 1.1×	115 0.9×	53 0.6×	50	924
Jérémie Lefebvre	667 1.0×	83 0.3×	83 0.6×	105 0.8×	250 2.8×	49	911
D. Pomeroy	521 0.8×	130 0.5×	139 1.0×	137 1.1×	70 0.8×	53	852
Sergei Turovets	375 0.6×	147 0.6×	73 0.5×	135 1.1×	144 1.6×	58	855
Sonya Bahar	419 0.6×	163 0.7×	148 1.1×	269 2.1×	213 2.4×	51	996
Sarah F. Muldoon	693 1.1×	69 0.3×	129 1.0×	156 1.2×	272 3.1×	39	1.0k

Countries citing papers authored by Spase Petkoski

Since Specialization

Citations

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

Fields of papers citing papers by Spase Petkoski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Spase Petkoski

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