Georg Eckel

470 citations
28 papers · 305 · h-index 10

Impact in

Papers in

Georg Eckel

24 papers receiving 287 citations

Peers

Georg Eckel
Comparison fields: 5 of 73
  • Fluid Flow and Transfer Processes 60
  • Computational Mechanics 148
  • Human-Computer Interaction 20
  • Signal Processing 33
  • Developmental Biology 5
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Citations per year

Countries citing papers authored by Georg Eckel

Since Specialization
Citations

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

Fields of papers citing papers by Georg Eckel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201947
2 200942
3 201835
4 200234
5 201824
6 201824
7 201915
8 201714
9 202413
10 201711
11 20179
12
SONIFICATION AS AN INTERDISCIPLINARY WORKING PROCESS
20068
13 20156
14
Semi-Empirical Primary Atomization Models for Transient Lagrangian Spray Simulation
20135
15
Synthetic Liquid Hydrocarbons from Renewable Energy – Results of the Helmholtz Energy Alliance “SynKWS”
20174
16 20203
17
Digital Storytelling Creating Interactive Illusions with AVOCADO
19993
18 20012
19 20231
20
Sonification of Spin Models. Listening to Phase Transitions in the Ising and Potts Model.
20071

About Georg Eckel

Georg Eckel is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Biomedical Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 28 papers that have together received 305 indexed citations. Recurring topics across this work include Combustion and flame dynamics (11 papers), Advanced Combustion Engine Technologies (6 papers), Fluid Dynamics and Heat Transfer (4 papers), Heat transfer and supercritical fluids (4 papers), Thermochemical Biomass Conversion Processes (4 papers), Electrohydrodynamics and Fluid Dynamics (3 papers), Plant Surface Properties and Treatments (3 papers) and Particle Dynamics in Fluid Flows (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (60 citations), Computational Mechanics (148 citations), Human-Computer Interaction (20 citations), Signal Processing (33 citations) and Developmental Biology (5 citations). Georg Eckel has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Manfred Aigner, Patrick Le Clercq, Marco Mancini, Péter Balázs, Werner Deutsch, Thomas Kolb, Bernhard Laback, Sabine Fleck, Wolfgang Meier and Trupti Kathrotia. Their work appears in journals such as Fuel, Combustion and Flame, Chemie Ingenieur Technik, Atomization and Sprays and Energy & Fuels.

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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