Christopher Strickland

20 papers receiving 197 citations

Peers

Christopher Strickland
Comparison fields: 5 of 71
  • Ecological Modeling 22
  • Nature and Landscape Conservation 59
  • Ecology, Evolution, Behavior and Systematics 48
  • Computational Mechanics 38
  • Modeling and Simulation 8
Replace F. R. Adler with:
F. R. Adler United States
G.D.E. Povel Netherlands
Georg Rüppell Germany
Michael J. Banks United Kingdom
Larry L. Pater United States
Gonzalo D. Rubio Argentina
Marta Wolf United States
T. Reis Germany
R. Steven Wagner United States
Martin Berger Switzerland
Christopher Strickland relative to F. R. Adler United States F. R. Adler's profile →
Citations per field
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Citations per year

Countries citing papers authored by Christopher Strickland

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Strickland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher Strickland, 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 Christopher Strickland Line = papers co-authored together Christopher Strickland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201967
2 201732
3 201724
4 202014
5 200810
6 20216
7 20226
8 20166
9 20155
10 20134
11 20234
12 20204
13 20174
14 20204
15 20133
16 20232
17 20232
18 20231
19 20181
20 20171

About Christopher Strickland

Christopher Strickland is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Genetics, Molecular Biology and Ecology, having authored 24 papers that have together received 200 indexed citations. Recurring topics across this work include Plant and animal studies (7 papers), Ecology and Vegetation Dynamics Studies (6 papers), Insect and Arachnid Ecology and Behavior (4 papers), Lattice Boltzmann Simulation Studies (4 papers), Plant Parasitism and Resistance (3 papers), Marine and coastal ecosystems (2 papers), Marine and fisheries research (2 papers) and Substance Abuse Treatment and Outcomes (2 papers). The work is most often cited by research in Ecological Modeling (22 citations), Nature and Landscape Conservation (59 citations), Ecology, Evolution, Behavior and Systematics (48 citations), Computational Mechanics (38 citations) and Modeling and Simulation (8 citations). Christopher Strickland has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Laura Miller, Patrick D. Shipman, Bette A. Loiselle, Damaris Zurell, Gerhard Dangelmayr, Eugene W. Schupp, Noelle G. Beckman, Manette E. Sandor, Liba Pejchar and Robert Stephen Cantrell. Their work appears in journals such as Bulletin of Mathematical Biology, Mathematical Biosciences, Bioinspiration & Biomimetics, Ecological Modelling and Mathematical Methods in the Applied 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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