Markus Mronz

546 citations
5 papers · 394 · h-index 4

Impact in

Papers in

Markus Mronz

5 papers receiving 386 citations

Peers

Markus Mronz
Comparison fields: 5 of 47
  • Cellular and Molecular Neuroscience 312
  • Ecology, Evolution, Behavior and Systematics 143
  • Endocrine and Autonomic Systems 40
  • Aging 11
  • Genetics 138
Replace Diego A. Pacheco with:
Diego A. Pacheco United States
Hannah Haberkern United States
Cheng Lyu United States
Gus K. Lott United States
Patrick Breads United States
Kit D. Longden United Kingdom
Jennifer K. Lovick United States
Claire McKellar United States
Yanqiong Zhou China
Tihana Jovanic France
Markus Mronz relative to Diego A. Pacheco United States Diego A. Pacheco's profile →
Citations per field
00.5×1.5×2.4×
Diego A. Pacheco · 1×
Citations per year

Countries citing papers authored by Markus Mronz

Since Specialization
Citations

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

Fields of papers citing papers by Markus Mronz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Markus Mronz, 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 Markus Mronz Line = papers co-authored together Markus Mronz links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2008272
2 200873
3 201134
4 200812
5
Die visuell motivierte Objektwahl laufender Taufliegen (Drosophila melanogaster) - Verhaltensphysiologie, Modellbildung und Implementierung in einem Roboter
20043

About Markus Mronz

Markus Mronz is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering, having authored 5 papers that have together received 394 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (4 papers), Animal Behavior and Reproduction (2 papers), Plant and animal studies (1 paper), Medical Imaging Techniques and Applications (1 paper), Biomimetic flight and propulsion mechanisms (1 paper), Visual perception and processing mechanisms (1 paper) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (312 citations), Ecology, Evolution, Behavior and Systematics (143 citations), Endocrine and Autonomic Systems (40 citations), Aging (11 citations) and Genetics (138 citations). Markus Mronz has collaborated with scholars based in Germany. Frequent co-authors include Roland Strauß, Kirsa Neuser, Burkhard Poeck, Tilman Triphan, Fritz‐Olaf Lehmann, Andreas Heß, Stefan Sawall, Marc Kachelrieß and F. Bergner. Their work appears in journals such as Medical Physics, Journal of Experimental Biology, Nature and Online Publication Service of Würzburg University (Würzburg University).

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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