Florian Greil

428 citations
8 papers · 285 · h-index 6

Impact in

Papers in

    • Gene Regulatory Network Analysis 8
    • Bioinformatics and Genomic Networks 4
    • Protein Structure and Dynamics 3
    • Microbial Metabolic Engineering and Bioproduction 1
    • Neural dynamics and brain function 3

Florian Greil

8 papers receiving 276 citations

Peers

Florian Greil
Comparison fields: 5 of 32
  • Molecular Biology 269
  • Statistical and Nonlinear Physics 44
  • Biophysics 16
  • Computational Theory and Mathematics 44
  • Genetics 52
Replace Julio Aracena with:
Julio Aracena Chile
Brandilyn Stigler United States
Jiang B. Liu United States
Xinrong Yang China
Edward J. Hancock Australia
El Houssine Snoussi Morocco
Ritwik Kumar Layek India
Rongpei Zhou China
Vassilios Sotiropoulos United States
Paul Bourgine France
Florian Greil relative to Julio Aracena Chile Julio Aracena's profile →
Citations per field
00.5×1.6×
Julio Aracena · 1×
Citations per year

Countries citing papers authored by Florian Greil

Since Specialization
Citations

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

Fields of papers citing papers by Florian Greil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Florian Greil, 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 Florian Greil Line = papers co-authored together Florian Greil links everyone, so they are left out of the graph.

All Works

About Florian Greil

Florian Greil is a scholar working on Molecular Biology, Cognitive Neuroscience, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Genetics, having authored 8 papers that have together received 285 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (8 papers), Bioinformatics and Genomic Networks (4 papers), Protein Structure and Dynamics (3 papers), Neural dynamics and brain function (3 papers), stochastic dynamics and bifurcation (2 papers), Slime Mold and Myxomycetes Research (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Cellular Automata and Applications (1 paper). The work is most often cited by research in Molecular Biology (269 citations), Statistical and Nonlinear Physics (44 citations), Biophysics (16 citations), Computational Theory and Mathematics (44 citations) and Genetics (52 citations). Florian Greil has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Barbara Drossel, Tamara Mihaljev, Andrew M. Berdahl, Maya Paczuski, Jörn Davidsen and Konstantin Klemm. Their work appears in journals such as Physical Review Letters, Frontiers in Plant Science, Theory in Biosciences, The European Physical Journal B and TUbilio (Technical University of Darmstadt).

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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