Gerd Mayer
Impact in
-
- Fish Ecology and Management Studies
- Ecology top 10%
- Aquatic Invertebrate Ecology and Behavior
- Parasite Biology and Host Interactions
- Crustacean biology and ecology
Papers in
- Ecology 9
- Aquatic Invertebrate Ecology and Behavior 7
-
- Advanced Vision and Imaging 6
- Co-authors
- Dieter Waloszek (11 shared papers)Andreas Maas (8 shared papers)Gerhard W. Maier (5 shared papers)Gerhard K. Kraetzschmar (13 shared papers)Hans Utz (13 shared papers)Joachim T. Haug (3 shared papers)Verena Esther Kutschera (3 shared papers)Carolin Haug (2 shared papers)
- Journals
- Gene (1 paper)Zoologischer Anzeiger (1 paper)BMC Evolutionary Biology (1 paper)Springer tracts in advanced robotics (1 paper)European Journal of Biochemistry (1 paper)
- Partner nations
- GermanyPanamaUnited States
In The Last Decade
Gerd Mayer
30 papers receiving 643 citations
Peers
Comparison fields: 5 of 89
- Nature and Landscape Conservation 138
- Ecology 278
- Paleontology 71
- Oceanography 93
- Computer Vision and Pattern Recognition 115
Countries citing papers authored by Gerd Mayer
This map shows the geographic impact of Gerd Mayer'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 Gerd Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerd Mayer more than expected).
Fields of papers citing papers by Gerd Mayer
This network shows the impact of papers produced by Gerd Mayer. 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 Gerd Mayer. The network helps show where Gerd Mayer may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerd Mayer, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 121 | |
| 2 | 1992 | 88 | |
| 3 | 2011 | 66 | |
| 4 | 2008 | 61 | |
| 5 | 2008 | 50 | |
| 6 | 2009 | 37 | |
| 7 | 2009 | 35 | |
| 8 | 2003 | 32 | |
| 9 | 2004 | 27 | |
| 10 | 2003 | 16 | |
| 11 | 2005 | 16 | |
| 12 | 2012 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2005 | 14 | |
| 15 | 2005 | 13 | |
| 16 | 2011 | 12 | |
| 17 | 1998 | 11 | |
| 18 | 2012 | 10 | |
| 19 | 2007 | 10 | |
| 20 | 2010 | 7 |
About Gerd Mayer
Gerd Mayer is a scholar working on Ecology, Computer Vision and Pattern Recognition, Nature and Landscape Conservation, Health, Toxicology and Mutagenesis and Artificial Intelligence, having authored 33 papers that have together received 687 indexed citations. Recurring topics across this work include Aquatic Invertebrate Ecology and Behavior (7 papers), Advanced Vision and Imaging (6 papers), Reinforcement Learning in Robotics (5 papers), Modular Robots and Swarm Intelligence (4 papers), Fish Ecology and Management Studies (4 papers), Robotics and Sensor-Based Localization (4 papers), Environmental Toxicology and Ecotoxicology (4 papers) and Robot Manipulation and Learning (3 papers). The work is most often cited by research in Nature and Landscape Conservation (138 citations), Ecology (278 citations), Paleontology (71 citations), Oceanography (93 citations) and Computer Vision and Pattern Recognition (115 citations). Gerd Mayer has collaborated with scholars based in Germany, Panama and United States. Frequent co-authors include Dieter Waloszek, Andreas Maas, Gerhard W. Maier, Gerhard K. Kraetzschmar, Hans Utz, Joachim T. Haug, Verena Esther Kutschera, Carolin Haug, Wolfgang Piepersberg and Jürgen Distler. Their work appears in journals such as Gene, Zoologischer Anzeiger, BMC Evolutionary Biology, Springer tracts in advanced robotics and European Journal of Biochemistry.
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.