M. Harsoula

58 total papers · 521 total citations
31 papers, 369 citations indexed

About

M. Harsoula is a scholar working on Statistical and Nonlinear Physics, Astronomy and Astrophysics and Computer Networks and Communications. According to data from OpenAlex, M. Harsoula has authored 31 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistical and Nonlinear Physics, 17 papers in Astronomy and Astrophysics and 5 papers in Computer Networks and Communications. Recurrent topics in M. Harsoula's work include Quantum chaos and dynamical systems (24 papers), Scientific Research and Discoveries (12 papers) and Stellar, planetary, and galactic studies (9 papers). M. Harsoula is often cited by papers focused on Quantum chaos and dynamical systems (24 papers), Scientific Research and Discoveries (12 papers) and Stellar, planetary, and galactic studies (9 papers). M. Harsoula collaborates with scholars based in Greece, Italy and Austria. M. Harsoula's co-authors include G. Contopoulos, Christos Efthymiopoulos, N. Voglis, P. A. Patsis, R. Dvořák, Constantinos Kalapotharakos, Georgios Lukes-Gerakopoulos and Florian Freistetter and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Annals of the New York Academy of Sciences and Astronomy and Astrophysics.

In The Last Decade

M. Harsoula

30 papers receiving 362 citations

Author Peers

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

Author						Papers	Cites
M. Harsoula	265	185	51	42	37	31	369
Matthaios Katsanikas	311 1.2×	130 0.7×	45 0.9×	10 0.2×	23 0.6×	44	409
A. Costa	72 0.3×	253 1.4×	30 0.6×	8 0.2×	10 0.3×	52	339
Michael Hippke	59 0.2×	259 1.4×	24 0.5×	8 0.2×	5 0.1×	23	333
Robert L. Zimmerman	100 0.4×	239 1.3×	18 0.4×	13 0.3×	11 0.3×	46	402
Andrew Burbanks	197 0.7×	93 0.5×	53 1.0×	16 0.4×	16 0.4×	27	340
Xiaofeng Wang	153 0.6×	97 0.5×	9 0.2×	51 1.2×	2 0.1×	42	340
Luca Biasco	316 1.2×	56 0.3×	26 0.5×	113 2.7×	12 0.3×	37	410
B. Marcos	171 0.6×	182 1.0×	2 0.0×	11 0.3×	35 0.9×	30	357
Jordi Villanueva	346 1.3×	105 0.6×	45 0.9×	131 3.1×	11 0.3×	24	424
E. Kovacs	61 0.2×	73 0.4×	8 0.2×	23 0.5×	68 1.8×	41	446

Countries citing papers authored by M. Harsoula

Since Specialization

Citations

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

Fields of papers citing papers by M. Harsoula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Harsoula

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