E. Mayr

1.7k citations
35 papers · 746 indexed · h-index 12

E. Mayr

33 papers receiving 642 citations

Peers

E. Mayr
Comparison fields: 5 of 133
  • History and Philosophy of Science 91
  • Genetics 266
  • Ecological Modeling 34
  • Ecology, Evolution, Behavior and Systematics 145
  • Paleontology 41
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Citations per year

Countries citing papers authored by E. Mayr

Since Specialization
Citations

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

Fields of papers citing papers by E. Mayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside E. Mayr, 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 E. Mayr Line = papers co-authored together E. Mayr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20122
4
Computer Algebra in Scientific Computing: 9th International Workshop, CASC 2006, Chisinau, Moldova, September 11-15, 2006, Proceedings (Lecture Notes in Computer Science)
20063
5 20031
6 200284
7
The philosophical foundations of Darwinism.
200131
8 19977
9 199612
10
FROM MOLECULES TO ORGANIC DIVERSITY.
19967
11
A critique of the search for extraterrestrial intelligence.
19951
12 199315
13 199045
14 1981137
15 19717
16
Evolutionary challenges to the mathematical interpretation of evolution.
19675
17
Evolution at the species level
19655
18 195992
19
[Prognosis of cervical cancer on the basis of histological picture].
19531
20 19511

About E. Mayr

E. Mayr is a scholar working on History and Philosophy of Science, Paleontology, Computational Theory and Mathematics, Ecological Modeling and Computer Networks and Communications, having authored 35 papers that have together received 746 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (3 papers), Advanced Graph Theory Research (3 papers), Evolution and Paleontology Studies (3 papers), Genetic diversity and population structure (3 papers), Evolution and Science Education (3 papers), Animal Ecology and Behavior Studies (2 papers), DNA and Biological Computing (2 papers) and Space Science and Extraterrestrial Life (2 papers). The work is most often cited by research in History and Philosophy of Science (91 citations), Genetics (266 citations), Ecological Modeling (34 citations), Ecology, Evolution, Behavior and Systematics (145 citations) and Paleontology (41 citations). E. Mayr has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Gilbert Schönfelder, Ibrahim Chahoud, Burkhard Flick, Chris E. Talsness, M. Paul, Hartmut Noltemeier, G. Tinhofer, Maciej M. Sysło, Evgenii V. Vorozhtsov and Robert Cypher. Their work appears in journals such as Systematic Biology, Science, Neoplasia, Journal of Mammalogy and The Auk.

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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