Dean M. Petrich

16 total papers · 761 total citations
9 papers, 569 citations indexed

About

Dean M. Petrich is a scholar working on Computer Networks and Communications, Condensed Matter Physics and Computational Mechanics. According to data from OpenAlex, Dean M. Petrich has authored 9 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Condensed Matter Physics and 3 papers in Computational Mechanics. Recurrent topics in Dean M. Petrich's work include Nonlinear Dynamics and Pattern Formation (3 papers), Theoretical and Computational Physics (3 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). Dean M. Petrich is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (3 papers), Theoretical and Computational Physics (3 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). Dean M. Petrich collaborates with scholars based in United States and United Kingdom. Dean M. Petrich's co-authors include Raymond E. Goldstein, Ron Lifshitz, David J. Muraki, Peter B. Weichman, Ronald N. Kahn and Albert Albers and has published in prestigious journals such as Physical Review Letters, The Journal of Portfolio Management and Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

In The Last Decade

Dean M. Petrich

8 papers receiving 536 citations

Author Peers

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

Author						Papers	Cites
Dean M. Petrich	260	176	113	103	91	9	569
Ilarion V. Melnikov	217 0.8×	113 0.6×	106 0.9×	71 0.7×	40 0.4×	39	679
Hans Henrik Rugh	356 1.4×	60 0.3×	82 0.7×	93 0.9×	116 1.3×	23	552
J. W. Turner	413 1.6×	169 1.0×	26 0.2×	117 1.1×	124 1.4×	28	612
I. W. Stewart	89 0.3×	187 1.1×	47 0.4×	31 0.3×	108 1.2×	29	654
Eric Goles	111 0.4×	50 0.3×	39 0.3×	48 0.5×	43 0.5×	20	558
P. A. Lagerstrom	192 0.7×	118 0.7×	18 0.2×	15 0.1×	81 0.9×	23	673
Gillian Ford	237 0.9×	13 0.1×	65 0.6×	51 0.5×	162 1.8×	14	617
Philip Boyland	334 1.3×	105 0.6×	28 0.2×	54 0.5×	16 0.2×	28	584
F. Schlögl	424 1.6×	137 0.8×	60 0.5×	58 0.6×	141 1.5×	31	615
Stéphane Métens	182 0.7×	260 1.5×	31 0.3×	85 0.8×	188 2.1×	23	511

Countries citing papers authored by Dean M. Petrich

Since Specialization

Citations

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

Fields of papers citing papers by Dean M. Petrich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dean M. Petrich

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