M. Gregory Forest

206 papers receiving 4.9k citations

Peers

M. Gregory Forest
Comparison fields: 5 of 149
  • Statistical and Nonlinear Physics 1.4k
  • Fluid Flow and Transfer Processes 554
  • Mathematical Physics 432
  • Electronic, Optical and Magnetic Materials 640
  • Numerical Analysis 171
Replace Murugappan Muthukumar with:
Murugappan Muthukumar United States
Patrick B. Warren United Kingdom
Tapio Ala-Nissilä Finland
Werner Köhler Germany
Lene Broeng Oddershede Denmark
Pep Español Spain
Haim H. Bau United States
J. Miguel Rubí Spain
Tamar Schlick United States
Andrey G. Cherstvy Germany
M. Gregory Forest relative to Murugappan Muthukumar United States Murugappan Muthukumar's profile →
Citations per field
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Murugappan Muthukumar · 1×
Citations per year

Countries citing papers authored by M. Gregory Forest

Since Specialization
Citations

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

Fields of papers citing papers by M. Gregory Forest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Gregory Forest, 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 M. Gregory Forest Line = papers co-authored together M. Gregory Forest links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 213 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980363
2 2016194
3 2014165
4 2018149
5 2019141
6 1990131
7 1982126
8 2018105
9 198692
10 201985
11 198678
12 201877
13 200475
14 200474
15 201371
16 200068
17 200267
18 200061
19 201759
20 201754

About M. Gregory Forest

M. Gregory Forest is a scholar working on Fluid Flow and Transfer Processes, Electronic, Optical and Magnetic Materials, Statistical and Nonlinear Physics, Computational Mechanics and Mechanical Engineering, having authored 213 papers that have together received 5.1k indexed citations. Recurring topics across this work include Liquid Crystal Research Advancements (55 papers), Rheology and Fluid Dynamics Studies (53 papers), Advanced Materials and Mechanics (38 papers), Nonlinear Photonic Systems (29 papers), Material Dynamics and Properties (27 papers), Nonlinear Waves and Solitons (20 papers), Nonlinear Dynamics and Pattern Formation (18 papers) and Fluid Dynamics and Turbulent Flows (17 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.4k citations), Fluid Flow and Transfer Processes (554 citations), Mathematical Physics (432 citations), Electronic, Optical and Magnetic Materials (640 citations) and Numerical Analysis (171 citations). M. Gregory Forest has collaborated with scholars based in United States, China and Canada. Frequent co-authors include David W. McLaughlin, Ruhai Zhou, Qi Wang, H. Flaschka, Samuel K. Lai, Stephen E. Bechtel, Paula A. Vásquez, Nicholas M. Ercolani, Hong Mei Zhou and Jay Newby. Their work appears in journals such as Journal of Non-Newtonian Fluid Mechanics, Physica D Nonlinear Phenomena, Journal of Rheology, Rheologica Acta and SIAM Journal on Applied Mathematics.

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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