Neil S. Berman

35 total papers · 434 total citations
29 papers, 350 citations indexed

About

Neil S. Berman is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Organic Chemistry. According to data from OpenAlex, Neil S. Berman has authored 29 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Fluid Flow and Transfer Processes, 9 papers in Computational Mechanics and 3 papers in Organic Chemistry. Recurrent topics in Neil S. Berman's work include Rheology and Fluid Dynamics Studies (11 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Polymer crystallization and properties (3 papers). Neil S. Berman is often cited by papers focused on Rheology and Fluid Dynamics Studies (11 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Polymer crystallization and properties (3 papers). Neil S. Berman collaborates with scholars based in United States, South Korea and Germany. Neil S. Berman's co-authors include Byard D. Wood, Kwang J. Kim, John J. McKetta, Harindra J. S. Fernando, Don L. Boyer, Ruirong Chen, David Chau, Hans-Werner Bewersdorff, Anthony J. Brazel and Sandra W. Brazel and has published in prestigious journals such as The Journal of Physical Chemistry, Journal of the Atmospheric Sciences and AIChE Journal.

In The Last Decade

Neil S. Berman

29 papers receiving 331 citations

Author Peers

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

Author Last Decade Papers Cites
Neil S. Berman 157 136 99 93 46 29 350
David L. Hofeldt 116 0.7× 74 0.5× 48 0.5× 49 0.5× 35 0.8× 19 320
Randall C. Boehm 72 0.5× 83 0.6× 41 0.4× 93 1.0× 49 1.1× 35 374
Matthew J. Traum 192 1.2× 205 1.5× 62 0.6× 48 0.5× 28 0.6× 45 375
R. E. Sonntag 62 0.4× 40 0.3× 131 1.3× 125 1.3× 22 0.5× 16 403
Magnus Aa. Gjennestad 75 0.5× 43 0.3× 117 1.2× 180 1.9× 16 0.3× 20 334
Morio Hori 165 1.1× 234 1.7× 36 0.4× 78 0.8× 64 1.4× 21 381
Peder Aursand 69 0.4× 50 0.4× 141 1.4× 176 1.9× 21 0.5× 25 401
Donald J. Hautman 274 1.7× 142 1.0× 30 0.3× 82 0.9× 24 0.5× 14 369
Alexander Vikhansky 182 1.2× 57 0.4× 37 0.4× 172 1.8× 46 1.0× 22 356
Matthias Koegl 241 1.5× 132 1.0× 53 0.5× 118 1.3× 16 0.3× 26 400

Countries citing papers authored by Neil S. Berman

Since Specialization
Citations

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

Fields of papers citing papers by Neil S. Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil S. Berman. 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 Neil S. Berman. The network helps show where Neil S. Berman may publish in the future.

Co-authorship network of co-authors of Neil S. Berman

This figure shows the co-authorship network connecting the top 25 collaborators of Neil S. Berman. A scholar is included among the top collaborators of Neil S. Berman 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 Neil S. Berman. Neil S. Berman 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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