Marjorie D. Matocq

2.4k citations
70 papers · 1.8k indexed · h-index 23
Topics
Genetic diversity and population structure (43 papers)Wildlife Ecology and Conservation (36 papers)Species Distribution and Climate Change (18 papers)

In The Last Decade

Marjorie D. Matocq

67 papers receiving 1.7k citations

Peers

Marjorie D. Matocq
Comparison fields: 5 of 79
  • Ecology 1.0k
  • Genetics 948
  • Ecological Modeling 433
  • Ecology, Evolution, Behavior and Systematics 419
  • Global and Planetary Change 369
Replace Shou‐Hsien Li with:
Shou‐Hsien Li Taiwan
James D. Austin United States
Peter A. Hosner United States
Brian S. Arbogast United States
Donald B. Shepard United States
Øystein Flagstad Norway
J. W. Arntzen United Kingdom
Haw Chuan Lim United States
Zoltán T. Nagy Belgium
Árpád S. Nyári United States
Marjorie D. Matocq relative to Shou‐Hsien Li Taiwan Shou‐Hsien Li's profile →
Citations per field
00.5×1.5×
Shou‐Hsien Li · 1×
Citations per year

Countries citing papers authored by Marjorie D. Matocq

Since Specialization
Citations

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

Fields of papers citing papers by Marjorie D. Matocq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marjorie D. Matocq. 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 Marjorie D. Matocq. The network helps show where Marjorie D. Matocq may publish in the future.

Co-authorship network of co-authors of Marjorie D. Matocq

This figure shows the co-authorship network connecting the top 25 collaborators of Marjorie D. Matocq. A scholar is included among the top collaborators of Marjorie D. Matocq 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 Marjorie D. Matocq. Marjorie D. Matocq 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 0
4 3
5 1
6 8
7 2
8 9
9 28
10 4
11 9
12 19
13 16
14 9
15 15
16 11
17 242
18 79
19 65
20 33

About Marjorie D. Matocq

Marjorie D. Matocq is a scholar working on Ecological Modeling, Ecology and Genetics, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic diversity and population structure (43 papers), Wildlife Ecology and Conservation (36 papers) and Species Distribution and Climate Change (18 papers). The work is most often cited by research in Ecological Modeling (433 citations), Ecology (1.0k citations) and Genetics (948 citations). Marjorie D. Matocq has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Stephen F. Spear, Andrew Storfer, Charles R. Peterson, Francis X. Villablanca, Peter J. Murphy, Jan A. Randall, Philip Leitner, James L. Patton, Maria Nazareth F. da Silva and Chris R. Feldman. Their work appears in journals such as Nature, Trends in Ecology & Evolution and Current Biology.

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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