Martin H. Muma

2.1k citations
83 papers · 1.6k indexed · h-index 22

Martin H. Muma

79 papers receiving 1.3k citations

Peers

Martin H. Muma
Comparison fields: 5 of 50
  • Insect Science 1.1k
  • Ecology, Evolution, Behavior and Systematics 940
  • Plant Science 301
  • Genetics 297
  • Paleontology 203
Replace Katsura Morimoto with:
Katsura Morimoto Japan
Dennis Leston Ghana
Christopher E. Carlton United States
Alessio De Biase Italy
Allen M. Young United States
Karen L. Olmstead United States
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Georges Pétavy France
Michael J. Sharkey United States
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Martin H. Muma relative to Katsura Morimoto Japan Katsura Morimoto's profile →
Citations per field
00.5×3.2×
Katsura Morimoto · 1×
Citations per year

Countries citing papers authored by Martin H. Muma

Since Specialization
Citations

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

Fields of papers citing papers by Martin H. Muma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin H. Muma

This figure shows the co-authorship network connecting the top 25 collaborators of Martin H. Muma. A scholar is included among the top collaborators of Martin H. Muma 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 H. Muma. Martin H. Muma 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 6
2 13
3 28
4 40
5 8
6
Phytoseiidae (Acarina: Mesostigmata) Inhabiting Agricultural and Other Plants in Arizona
34
7 8
8 52
9 24
10 0
11 5
12 21
13 13
14 18
15 46
16 9
17 7
18 11
19
A study of the spider family Selenopidae in North America, Central America, and the West Indies
3
20
The arachnid order Solpugida in the United States. Bulletin of the AMNH ; v. 97, article 2
17

About Martin H. Muma

Martin H. Muma is a scholar working on Insect Science, Ecological Modeling and Ecology, Evolution, Behavior and Systematics, having authored 83 papers that have together received 1.6k indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (48 papers), Hemiptera Insect Studies (18 papers) and Insect and Pesticide Research (17 papers). The work is most often cited by research in Insect Science (1.1k citations), Ecology, Evolution, Behavior and Systematics (940 citations) and Paleontology (203 citations). Martin H. Muma has collaborated with scholars based in United States and Czechia. Frequent co-authors include H. A. Denmark, Peter Weygoldt, Harold A. Denmark, D. M. Tuttle, Jaroslav Weiser, Francis M. Summers, Damian Clancy, Willis John Gertsch, William P. Mackay and James C. Cokendolpher. Their work appears in journals such as Animal Behaviour, Journal of Economic Entomology and Annals of the Entomological Society of America.

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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