Gerhard Schmid

4.1k citations
100 papers · 3.0k · h-index 28

Impact in

Papers in

Gerhard Schmid

92 papers receiving 2.9k citations

Peers

Gerhard Schmid
Comparison fields: 5 of 123
  • Statistical and Nonlinear Physics 1.8k
  • Modeling and Simulation 148
  • Condensed Matter Physics 298
  • Biomedical Engineering 1.0k
  • Cognitive Neuroscience 413
Replace Michael Menzinger with:
Michael Menzinger Canada
L. M. Pismen Israel
Paul Glansdorff Belgium
W. D. McCormick United States
M. Eiswirth Germany
Leonardo Dagdug Mexico
M. Marek Czechia
Sabine H. L. Klapp Germany
E. M. Sevick Australia
Nikolai V. Brilliantov Russia
Gerhard Schmid relative to Michael Menzinger Canada Michael Menzinger's profile →
Citations per field
00.5×3.3×
Michael Menzinger · 1×
Citations per year

Countries citing papers authored by Gerhard Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerhard Schmid. 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 Gerhard Schmid. The network helps show where Gerhard Schmid may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008278
2 2006267
3 2001241
4 2007154
5 2008151
6 2012136
7 2008120
8 199989
9 201189
10 200686
11 200885
12 201081
13 201463
14 200656
15 201352
16 201550
17 199749
18 201048
19 199647
20 200447

About Gerhard Schmid

Gerhard Schmid is a scholar working on Statistical and Nonlinear Physics, Biomedical Engineering, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 100 papers that have together received 3.0k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (33 papers), Nanopore and Nanochannel Transport Studies (15 papers), Membrane-based Ion Separation Techniques (10 papers), Electrochemical Analysis and Applications (9 papers), Advanced Thermodynamics and Statistical Mechanics (9 papers), Spectroscopy and Quantum Chemical Studies (8 papers), Neural dynamics and brain function (8 papers) and Semiconductor Lasers and Optical Devices (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.8k citations), Modeling and Simulation (148 citations), Condensed Matter Physics (298 citations), Biomedical Engineering (1.0k citations) and Cognitive Neuroscience (413 citations). Gerhard Schmid has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Peter Hänggi, P. S. Burada, Igor Goychuk, David Reguera, J. M. Rubı́, Fabio Marchesoni, Lutz Schimansky-Geier, Peter Reimann, Peter Talkner and Yunyun Li. Their work appears in journals such as Journal of Membrane Science, The European Physical Journal Special Topics, Berichte der Bunsengesellschaft für physikalische Chemie, Physical Review Letters and Mathematical Biosciences.

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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