Gerd Baumann

1.9k citations
120 papers · 1.2k · h-index 18

Impact in

Papers in

Gerd Baumann

104 papers receiving 1.1k citations

Peers

Gerd Baumann
Comparison fields: 5 of 150
  • Modeling and Simulation 142
  • Statistical and Nonlinear Physics 322
  • Numerical Analysis 121
  • Biophysics 57
  • Anthropology 69
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Jeremy Waldron Ireland
Morris Kline United States
Alexander Sesonske United States
Richard Herrmann Germany
David C. Hyland United States
Alan J. Bray United Kingdom
Christian Kuehn Germany
Marjorie Senechal United States
Timothy Poston Singapore
David Cohen Sweden
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Citations per field
00.5×10×13.8×
Jeremy Waldron · 1×
Citations per year

Countries citing papers authored by Gerd Baumann

Since Specialization
Citations

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

Fields of papers citing papers by Gerd Baumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988130
2 2010102
3 1997100
4 197653
5 200051
6 199250
7 201041
8 199439
9 199238
10 201834
11 200427
12 201124
13 199723
14 200120
15 201019
16 199419
17 199218
18 198218
19 199817
20 198516

About Gerd Baumann

Gerd Baumann is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Molecular Biology, Numerical Analysis and Atomic and Molecular Physics, and Optics, having authored 120 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (13 papers), Nonlinear Waves and Solitons (12 papers), Numerical methods for differential equations (10 papers), Advanced Fluorescence Microscopy Techniques (7 papers), Quantum chaos and dynamical systems (7 papers), Nonlinear Photonic Systems (6 papers), Robotic Path Planning Algorithms (5 papers) and Mathematical functions and polynomials (5 papers). The work is most often cited by research in Modeling and Simulation (142 citations), Statistical and Nonlinear Physics (322 citations), Numerical Analysis (121 citations), Biophysics (57 citations) and Anthropology (69 citations). Gerd Baumann has collaborated with scholars based in Germany, Egypt and United States. Frequent co-authors include Brian Street, T. F. Nonnenmacher, Frank Stenger, Gabriele A. Losa, Zeno Földes‐Papp, Theo F. Nonnenmacher, K.W. Benz, M. H. Pilkuhn, Andreas Barth and Mohamed A. Abd El Ghany. Their work appears in journals such as Current Pharmaceutical Biotechnology, Physics Letters A, Fractional Calculus and Applied Analysis, Mathematics and Computers in Simulation and Physical Review A.

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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