Eliot T. Miller

57 papers receiving 1.8k citations

Hit Papers

Macroevolutionary convergence connects morphological form...202020262022202420202021100200300

Peers

Eliot T. Miller
Comparison fields: 5 of 98
  • Ecology 959
  • Ecology, Evolution, Behavior and Systematics 806
  • Nature and Landscape Conservation 530
  • Ecological Modeling 502
  • Global and Planetary Change 280
Replace F. Russell Cole with:
F. Russell Cole United States
Achaz von Hardenberg Italy
Gary Burness Canada
Klaus Hackländer Austria
Guido Tosi Italy
Dominique Allainé France
Williams Australia
Chris R. Pavey Australia
Jean Clobert France
Jana A. Eccard Germany
Eliot T. Miller relative to F. Russell Cole United States F. Russell Cole's profile →
Citations per field
00.5×10×16.4×
F. Russell Cole · 1×
Citations per year

Countries citing papers authored by Eliot T. Miller

Since Specialization
Citations

This map shows the geographic impact of Eliot T. Miller'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 Eliot T. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eliot T. Miller more than expected).

Fields of papers citing papers by Eliot T. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eliot T. Miller. 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 Eliot T. Miller. The network helps show where Eliot T. Miller may publish in the future.

Co-authorship network of co-authors of Eliot T. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Eliot T. Miller. A scholar is included among the top collaborators of Eliot T. Miller 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 Eliot T. Miller. Eliot T. Miller 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 9
2 2
3 0
4 3
5 4
6 5
7 3
8 13
9 33
10
Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributionsbreakdown →
181
11 42
12 0
13 6
14 53
15 54
16 72
17 56
18 42
19 4
20 62

About Eliot T. Miller

Eliot T. Miller is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Developmental Biology, having authored 60 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant and animal studies (24 papers), Animal Behavior and Reproduction (21 papers) and Wildlife Ecology and Conservation (19 papers). The work is most often cited by research in Ecological Modeling (502 citations), Developmental Biology (100 citations) and Nature and Landscape Conservation (530 citations). Eliot T. Miller has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Christopher H. Trisos, Benjamin G. Freeman, Damien R. Farine, Matthew Strimas‐Mackey, Robert E. Ricklefs, Matthew W. Pennell, Wesley M. Hochachka, Joseph A. Tobias, Catherine Sheard and Brian C. Weeks. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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