Martin Hasselmann

3.9k citations
54 papers · 2.0k indexed · h-index 22
Topics
Insect and Arachnid Ecology and Behavior (35 papers)Insect and Pesticide Research (34 papers)Plant and animal studies (34 papers)

In The Last Decade

Martin Hasselmann

50 papers receiving 1.9k citations

Peers

Martin Hasselmann
Comparison fields: 5 of 91
  • Genetics 1.5k
  • Insect Science 1.4k
  • Ecology, Evolution, Behavior and Systematics 1.2k
  • Molecular Biology 314
  • Plant Science 138
Replace François Cousserans with:
François Cousserans France
Ken Sahara Japan
Martin Beye Germany
Mikio Yoshiyama Japan
Marie Diogon France
Dalial Freitak Finland
Jürgen Gadau United States
Haofu Hu Denmark
Osamu Kitade Japan
David H. Oi United States
Martin Hasselmann relative to François Cousserans France François Cousserans's profile →
Citations per field
00.5×3.8×
François Cousserans · 1×
Citations per year

Countries citing papers authored by Martin Hasselmann

Since Specialization
Citations

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

Fields of papers citing papers by Martin Hasselmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Hasselmann

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Hasselmann. A scholar is included among the top collaborators of Martin Hasselmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Hasselmann. Martin Hasselmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 7
4 5
5 3
6 6
7 8
8 8
9 16
10 12
11 23
12 14
13 21
14 19
15 29
16 53
17 187
18 52
19 403
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About Martin Hasselmann

Martin Hasselmann is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (35 papers), Insect and Pesticide Research (34 papers) and Plant and animal studies (34 papers). The work is most often cited by research in Insect Science (1.4k citations), Ecology, Evolution, Behavior and Systematics (1.2k citations) and Genetics (1.5k citations). Martin Hasselmann has collaborated with scholars based in Germany, United States and Brazil. Frequent co-authors include Martin Beye, Robert E. Page, Stig W. Omholt, M. Kim Fondrk, Tanja Gempe, Marianne Otte, Morten Schiøtt, Paul D’Alvise, Carlos Gustavo Nunes-Silva and Caspar Schöning. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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