G. Flätgen

20 papers receiving 631 citations

Peers

G. Flätgen
Comparison fields: 5 of 53
  • Electrochemistry 254
  • Computer Networks and Communications 389
  • Statistical and Nonlinear Physics 162
  • Bioengineering 45
  • Atomic and Molecular Physics, and Optics 212
Replace Nadia Mazouz with:
Nadia Mazouz Germany
Masayoshi Naitō Japan
M. R. Bassett Germany
Johannes Christoph Germany
H. Kneppe Germany
Minoru Yoshimoto Japan
Davis K. Cope United States
R. Castanedo Pérez Mexico
Noriaki Okazaki Japan
Oleksii Sliusarenko Spain
G. Flätgen relative to Nadia Mazouz Germany Nadia Mazouz's profile →
Citations per field
00.5×5.6×
Nadia Mazouz · 1×
Citations per year

Countries citing papers authored by G. Flätgen

Since Specialization
Citations

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

Fields of papers citing papers by G. Flätgen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside G. Flätgen, 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 G. Flätgen Line = papers co-authored together G. Flätgen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999121
2 199777
3 199572
4 199562
5 199556
6 200048
7 199745
8 199841
9 199832
10 199622
11 199917
12 199916
13 200912
14 199510
15 20009
16 19947
17 19934
18 19932
19 19942
20 19931

About G. Flätgen

G. Flätgen is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Electrochemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 21 papers that have together received 656 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (11 papers), Electrochemical Analysis and Applications (8 papers), stochastic dynamics and bifurcation (8 papers), Chaos control and synchronization (6 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Theoretical and Computational Physics (4 papers), Electrocatalysts for Energy Conversion (3 papers) and Molecular Junctions and Nanostructures (2 papers). The work is most often cited by research in Electrochemistry (254 citations), Computer Networks and Communications (389 citations), Statistical and Nonlinear Physics (162 citations), Bioengineering (45 citations) and Atomic and Molecular Physics, and Optics (212 citations). G. Flätgen has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Katharina Krischer, Nadia Mazouz, G. Ertl, Karl Doblhofer, Sabine Wasle, Christian Eickes, M. Lübke, Ioannis G. Kevrekidis, Bruno Pettinger and Heinz Junkes. Their work appears in journals such as The Journal of Physical Chemistry B, Physical review. B, Condensed matter, Physics Letters A, Physical Review Letters and Physica D Nonlinear Phenomena.

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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