J. M. Brader

3.8k citations
81 papers · 2.8k · h-index 26

Impact in

Papers in

J. M. Brader

81 papers receiving 2.8k citations

Peers

J. M. Brader
Comparison fields: 5 of 84
  • Fluid Flow and Transfer Processes 518
  • Condensed Matter Physics 820
  • Statistical and Nonlinear Physics 783
  • Materials Chemistry 1.9k
  • Biomedical Engineering 1.1k
Replace Sabine H. L. Klapp with:
Sabine H. L. Klapp Germany
Estelle Pitard France
Thomas Speck Germany
H. H. Wensink France
E. M. Sevick Australia
Miloš Marek Czechia
Frank Cichos Germany
Peter Keim Germany
Harald Pleiner Germany
Chuck Yeung United States
J. M. Brader relative to Sabine H. L. Klapp Germany Sabine H. L. Klapp's profile →
Citations per field
00.5×5.9×
Sabine H. L. Klapp · 1×
Citations per year

Countries citing papers authored by J. M. Brader

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Brader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007262
2 1999235
3 2015195
4 2000125
5 2009124
6 2009104
7 201098
8 201397
9 200889
10
Power functional theory for Brownian dynamics
201387
11 200182
12 200266
13 200364
14 200762
15 200060
16 200757
17 200146
18 201745
19 201145
20 200237

About J. M. Brader

J. M. Brader is a scholar working on Materials Chemistry, Biomedical Engineering, Statistical and Nonlinear Physics, Condensed Matter Physics and Fluid Flow and Transfer Processes, having authored 81 papers that have together received 2.8k indexed citations. Recurring topics across this work include Material Dynamics and Properties (53 papers), Phase Equilibria and Thermodynamics (35 papers), Advanced Thermodynamics and Statistical Mechanics (34 papers), Pickering emulsions and particle stabilization (11 papers), Theoretical and Computational Physics (11 papers), Micro and Nano Robotics (11 papers), Rheology and Fluid Dynamics Studies (11 papers) and Surfactants and Colloidal Systems (6 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (518 citations), Condensed Matter Physics (820 citations), Statistical and Nonlinear Physics (783 citations), Materials Chemistry (1.9k citations) and Biomedical Engineering (1.1k citations). J. M. Brader has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Matthias Schmidt, Robert Evans, Matthias Fuchs, Marjolein Dijkstra, Stefano Fusi, Walter Senn, Philip Krinninger, Hartmut Löwen, Abhinav Sharma and René Wittmann. Their work appears in journals such as Physical review. E, Journal of Physics Condensed Matter, The Journal of Chemical Physics, Molecular Physics and Physical Review Letters.

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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