Joseph P. Previte

39 total papers · 621 total citations
23 papers, 436 citations indexed

About

Joseph P. Previte is a scholar working on Geometry and Topology, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, Joseph P. Previte has authored 23 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Geometry and Topology, 5 papers in Mathematical Physics and 4 papers in Computational Theory and Mathematics. Recurrent topics in Joseph P. Previte's work include Geometric and Algebraic Topology (4 papers), Nanofluid Flow and Heat Transfer (3 papers) and Mathematical Dynamics and Fractals (3 papers). Joseph P. Previte is often cited by papers focused on Geometric and Algebraic Topology (4 papers), Nanofluid Flow and Heat Transfer (3 papers) and Mathematical Dynamics and Fractals (3 papers). Joseph P. Previte collaborates with scholars based in United States, Taiwan and Netherlands. Joseph P. Previte's co-authors include Joseph E. Paullet, Patrick Weidman, Kathleen Hoffman, Richard Bertram, Arthur Sherman, Tracie A. Kinard, Leslie S. Satin, Dorothea A. Markakis, Chris A. Liacouras and Scott D. Cook‐Sather and has published in prestigious journals such as Biophysical Journal, International Journal of Heat and Mass Transfer and Anesthesiology.

In The Last Decade

Joseph P. Previte

21 papers receiving 416 citations

Author Peers

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

Author						Papers	Cites
Joseph P. Previte	129	94	90	74	67	23	436
T. Mikami	115 0.9×	10 0.1×	73 0.8×	22 0.3×	7 0.1×	34	472
Sarah D. Olson	187 1.4×	41 0.4×	5 0.1×	101 1.4×	18 0.3×	29	394
Christopher Crowley	18 0.1×	20 0.2×	8 0.1×	31 0.4×	8 0.1×	37	372
Svein Linge	24 0.2×	22 0.2×	89 1.0×	31 0.4×	2 0.0×	23	369
K. Mukundakrishnan	133 1.0×	49 0.5×	14 0.2×	99 1.3×	16 0.2×	27	467
Sara Naftali	63 0.5×	13 0.1×	251 2.8×	22 0.3×	10 0.1×	16	445
Sung Joon Moon	30 0.2×	26 0.3×	6 0.1×	260 3.5×	8 0.1×	23	406
Hironobu Sasaki	46 0.4×	35 0.4×	51 0.6×	2 0.0×	43 0.6×	49	470
Ernst K. Franke	123 1.0×	14 0.1×	37 0.4×	5 0.1×	12 0.2×	20	450
Chang Yong Han	30 0.2×	112 1.2×	14 0.2×	307 4.1×	4 0.1×	38	424

Countries citing papers authored by Joseph P. Previte

Since Specialization

Citations

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

Fields of papers citing papers by Joseph P. Previte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph P. Previte. 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 Joseph P. Previte. The network helps show where Joseph P. Previte may publish in the future.

Co-authorship network of co-authors of Joseph P. Previte

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph P. Previte. A scholar is included among the top collaborators of Joseph P. Previte 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 Joseph P. Previte. Joseph P. Previte 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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