G. Fleischer

2.8k citations
95 papers · 2.3k indexed · 1 hit paper · h-index 26

G. Fleischer

94 papers receiving 2.2k citations

Hit Papers

Translational and rotational diffusion in supercooled ort...4681992202620032014100200300400

Peers

G. Fleischer
Comparison fields: 5 of 102
  • Fluid Flow and Transfer Processes 610
  • Polymers and Plastics 589
  • Nuclear and High Energy Physics 509
  • Materials Chemistry 1.3k
  • Spectroscopy 306
Replace Elmar Fischer with:
Elmar Fischer Germany
L. J. Fetters United States
B. Ewen Germany
A. Wischnewski Germany
E. von Meerwall United States
Mario Beiner Germany
Alan A. Jones United States
Jürgen Allgaier Germany
Erik Geissler France
E. Donth Germany
G. Fleischer relative to Elmar Fischer Germany Elmar Fischer's profile →
Citations per field
00.5×1.5×
Elmar Fischer · 1×
Citations per year

Countries citing papers authored by G. Fleischer

Since Specialization
Citations

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

Fields of papers citing papers by G. Fleischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20008
2 200011
3 200077
4 200022
5 200012
6 199913
7 199922
8 199811
9 199849
10 19989
11 199651
12 199628
13 199610
14 199532
15 19928
16 19921
17 198545
18 198433
19 19821
20 19764

About G. Fleischer

G. Fleischer is a scholar working on Nuclear and High Energy Physics, Fluid Flow and Transfer Processes, Polymers and Plastics, Materials Chemistry and Spectroscopy, having authored 95 papers that have together received 2.3k indexed citations. Recurring topics across this work include NMR spectroscopy and applications (45 papers), Material Dynamics and Properties (44 papers), Block Copolymer Self-Assembly (20 papers), Rheology and Fluid Dynamics Studies (17 papers), Polymer crystallization and properties (14 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Surfactants and Colloidal Systems (10 papers) and Phase Equilibria and Thermodynamics (8 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (610 citations), Polymers and Plastics (589 citations), Nuclear and High Energy Physics (509 citations), Materials Chemistry (1.3k citations) and Spectroscopy (306 citations). G. Fleischer has collaborated with scholars based in Germany, Greece and Czechia. Frequent co-authors include F. Fujara, Burkhard Geil, H. Sillescu, Matthias Appel, Jörg Kärger, George Fytas, Dimitris Vlassopoulos, Jacques Roovers, A. N. Semenov and Frank Rittig. Their work appears in journals such as Macromolecules, Colloid & Polymer Science, Acta Polymerica, Polymer and Europhysics Letters (EPL).

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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