Gerd Baumann

1.8k citations
81 papers · 782 · h-index 14

Impact in

Papers in

Gerd Baumann

72 papers receiving 704 citations

Peers

Gerd Baumann
Comparison fields: 5 of 126
  • Modeling and Simulation 112
  • Statistical and Nonlinear Physics 268
  • Numerical Analysis 92
  • Biophysics 42
  • Geometry and Topology 40
Replace Xuebin Chi with:
Xuebin Chi China
Eric W. Weisstein United States
Alessandro Taloni Italy
Patrick S. Hagan United States
T Scott United States
Johan L. A. Dubbeldam Netherlands
Jeremy Waldron Ireland
Alberto P. Muñuzuri Spain
Marcelo A. Moret Brazil
John W. Lee United States
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Citations per field
00.5×8.4×
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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 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199796
2 198878
3 197648
4 200044
5 199238
6 199237
7 201833
8 199430
9 201123
10 199719
11 201018
12 199218
13 198217
14 201114
15 199112
16 198712
17 199212
18 200212
19
Symmetry Analysis of Differential Equations with Mathematica with Cdrom
199910
20 199110

About Gerd Baumann

Gerd Baumann is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis, Modeling and Simulation, Molecular Biology and Computational Mechanics, having authored 81 papers that have together received 782 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (11 papers), Fractional Differential Equations Solutions (11 papers), Numerical methods for differential equations (9 papers), Nonlinear Photonic Systems (6 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Gene Regulatory Network Analysis (5 papers), Quantum chaos and dynamical systems (5 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Modeling and Simulation (112 citations), Statistical and Nonlinear Physics (268 citations), Numerical Analysis (92 citations), Biophysics (42 citations) and Geometry and Topology (40 citations). Gerd Baumann has collaborated with scholars based in Germany, Egypt and United States. Frequent co-authors include T. F. Nonnenmacher, Brian Street, Frank Stenger, Zeno Földes‐Papp, Gabriele A. Losa, K.W. Benz, M. H. Pilkuhn, Mohamed A. Abd El Ghany, Mark Duffield and W. Glöckle. Their work appears in journals such as Current Pharmaceutical Biotechnology, Mathematics and Computers in Simulation, Physics Letters A, Fractional Calculus and Applied Analysis and Applied Numerical 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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