J.M.V. Grzybowski

74 total papers · 926 total citations
27 papers, 640 citations indexed

About

J.M.V. Grzybowski is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Environmental Engineering. According to data from OpenAlex, J.M.V. Grzybowski has authored 27 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistical and Nonlinear Physics, 9 papers in Computer Networks and Communications and 8 papers in Environmental Engineering. Recurrent topics in J.M.V. Grzybowski's work include Nonlinear Dynamics and Pattern Formation (8 papers), Chaos control and synchronization (6 papers) and Neural Networks Stability and Synchronization (5 papers). J.M.V. Grzybowski is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (8 papers), Chaos control and synchronization (6 papers) and Neural Networks Stability and Synchronization (5 papers). J.M.V. Grzybowski collaborates with scholars based in Brazil and Portugal. J.M.V. Grzybowski's co-authors include Roberto Valmir da Silva, Lucimara Bragagnolo, Marat Rafikov, José Manoel Balthazar, Elbert E. N. Macau, Takashi Yoneyama, Charline Bonatto, Diogo C. Soriano, Romis Attux and L.H.A. Monteiro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physica D Nonlinear Phenomena and CATENA.

In The Last Decade

J.M.V. Grzybowski

26 papers receiving 621 citations

Author Peers

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

Author						Papers	Cites
J.M.V. Grzybowski	221	189	176	167	78	27	640
Donato D’Ambrosio	251 1.1×	169 0.9×	157 0.9×	17 0.1×	57 0.7×	49	783
Rocco Rongo	243 1.1×	132 0.7×	193 1.1×	15 0.1×	44 0.6×	51	781
Xiaoping Sun	151 0.7×	42 0.2×	153 0.9×	66 0.4×	10 0.1×	66	751
Ana Cortés	157 0.7×	397 2.1×	138 0.8×	11 0.1×	92 1.2×	84	765
David Michéa	80 0.4×	50 0.3×	65 0.4×	17 0.1×	31 0.4×	19	782
Tomàs Margalef	151 0.7×	369 2.0×	183 1.0×	9 0.1×	46 0.6×	87	667
S. M. Ramasamy	64 0.3×	162 0.9×	177 1.0×	49 0.3×	218 2.8×	58	684
Han Zhang	176 0.8×	207 1.1×	162 0.9×	5 0.0×	76 1.0×	34	744
Yingbing Li	26 0.1×	87 0.5×	42 0.2×	22 0.1×	54 0.7×	23	703
Bin Tong	167 0.8×	94 0.5×	8 0.0×	164 1.0×	26 0.3×	57	708

Countries citing papers authored by J.M.V. Grzybowski

Since Specialization

Citations

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

Fields of papers citing papers by J.M.V. Grzybowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.M.V. Grzybowski

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