Gerald Fleischer
Impact in
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- Rheology and Fluid Dynamics Studies
- Materials Chemistry top 2%
- Material Dynamics and Properties
- Block Copolymer Self-Assembly
Papers in
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- Rheology and Fluid Dynamics Studies 24
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- NMR spectroscopy and applications 31
- Co-authors
- F. Fujara (8 shared papers)Burkhard Geil (2 shared papers)Hans Sillescu (2 shared papers)Matthias Appel (11 shared papers)Jörg Kärger A (24 shared papers)George Fytas (17 shared papers)Dimitris Vlassopoulos (8 shared papers)Jacques Roovers (5 shared papers)
In The Last Decade
Gerald Fleischer
93 papers receiving 2.5k citations
Gerald Fleischer's Hit Papers
Peers
Comparison fields: 5 of 68
- Fluid Flow and Transfer Processes 416
- Materials Chemistry 1.3k
- Nuclear and High Energy Physics 444
- Polymers and Plastics 188
- Spectroscopy 230
Countries citing papers authored by Gerald Fleischer
This map shows the geographic impact of Gerald 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 Gerald Fleischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Fleischer more than expected).
Fields of papers citing papers by Gerald Fleischer
This network shows the impact of papers produced by Gerald 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 Gerald Fleischer. The network helps show where Gerald Fleischer may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerald Fleischer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Translational and rotational diffusion in supercooled orthoterphenyl close to the glass transition Hit paper breakdown → | 1992 | 511 |
| 2 | 1993 | 94 | |
| 3 | 2000 | 84 | |
| 4 | 1993 | 80 | |
| 5 | 1999 | 80 | |
| 6 | 1998 | 63 | |
| 7 | 1984 | 54 | |
| 8 | 1997 | 54 | |
| 9 | 1998 | 52 | |
| 10 | 1985 | 50 | |
| 11 | 1996 | 48 | |
| 12 | 1983 | 47 | |
| 13 | 1995 | 43 | |
| 14 | 1987 | 38 | |
| 15 | 1994 | 38 | |
| 16 | 1984 | 37 | |
| 17 | 1995 | 36 | |
| 18 | 1997 | 36 | |
| 19 | 1995 | 35 | |
| 20 | 1993 | 34 |
About Gerald Fleischer
Gerald Fleischer is a scholar working on Fluid Flow and Transfer Processes, Nuclear and High Energy Physics, Materials Chemistry, Spectroscopy and Organic Chemistry, having authored 95 papers that have together received 2.6k indexed citations. Recurring topics across this work include NMR spectroscopy and applications (31 papers), Rheology and Fluid Dynamics Studies (24 papers), Material Dynamics and Properties (24 papers), Block Copolymer Self-Assembly (23 papers), Diffusion Coefficients in Liquids (11 papers), Advanced Polymer Synthesis and Characterization (11 papers), Surfactants and Colloidal Systems (9 papers) and Advanced Battery Materials and Technologies (7 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (416 citations), Materials Chemistry (1.3k citations), Nuclear and High Energy Physics (444 citations), Polymers and Plastics (188 citations) and Spectroscopy (230 citations). Gerald Fleischer has collaborated with scholars based in Germany, Greece and Czechia. Frequent co-authors include F. Fujara, Burkhard Geil, Hans Sillescu, Matthias Appel, Jörg Kärger A, George Fytas, Dimitris Vlassopoulos, Jacques Roovers, Alexander 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.