Donald S. Cohen

2.6k citations
105 papers · 1.9k indexed · h-index 23

Donald S. Cohen

102 papers receiving 1.7k citations

Peers

Donald S. Cohen
Comparison fields: 5 of 113
  • Numerical Analysis 251
  • Modeling and Simulation 149
  • Inorganic Chemistry 403
  • Fluid Flow and Transfer Processes 176
  • Applied Mathematics 280
Replace Gregory T. Dee with:
Gregory T. Dee United States
D. A. Frank-Kamenet︠s︡kiĭ Russia
Guang‐hua Gao China
Stephen Clark United States
D. Scott Stewart United States
John C. Wheeler United States
Sashikumaar Ganesan India
Stephen Prager United States
Nicole Ostrowsky France
Joseph B. Hubbard United States
Donald S. Cohen relative to Gregory T. Dee United States Gregory T. Dee's profile →
Citations per field
00.5×10×20×26.9×
Gregory T. Dee · 1×
Citations per year

Countries citing papers authored by Donald S. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Donald S. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Donald S. Cohen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Donald S. Cohen Line = papers co-authored together Donald S. Cohen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 19993
2 199940
3 19863
4
Graphing as a Problem-Solving Strategy.
19841
5 197913
6
Ensuring an Effective Instructor-Taught Writing and Advocacy Program: How to Teach the Teachers.
19782
7
Judicial Predictability in United States Supreme Court Advocacy: An Analysis of the Oral Argument in Tennessee Valley Authority v. Hill
19781
8 197712
9 19738
10 197112
11 19711
12 196736
13 19671
14 19672
15 196721
16 196613
17 19653
18 19616
19 195725
20 195213

About Donald S. Cohen

Donald S. Cohen is a scholar working on Numerical Analysis, Fluid Flow and Transfer Processes and Inorganic Chemistry, having authored 105 papers that have together received 1.9k indexed citations. Recurring topics across this work include Radioactive element chemistry and processing (24 papers), Nonlinear Dynamics and Pattern Formation (14 papers), Differential Equations and Numerical Methods (11 papers), Advanced Mathematical Modeling in Engineering (11 papers), Rheology and Fluid Dynamics Studies (11 papers), Chemical Synthesis and Characterization (10 papers), Stability and Controllability of Differential Equations (9 papers) and Material Dynamics and Properties (8 papers). The work is most often cited by research in Numerical Analysis (251 citations), Modeling and Simulation (149 citations) and Inorganic Chemistry (403 citations). Donald S. Cohen has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include James D. Murray, David A. Edwards, Andrew B. White, Thomas Erneux, J. C. Hindman, John C. Neu, J. C. Sullivan, Theodore W. Laetsch, W. T. Carnall and Rodolfo R. Rosales. Their work appears in journals such as Journal of the American Chemical Society, Journal of Applied Physics and The Journal of Physical Chemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026