Chad E. Brassil

1.3k citations
27 papers · 864 indexed · h-index 17

Chad E. Brassil

27 papers receiving 835 citations

Peers

Chad E. Brassil
Comparison fields: 5 of 97
  • Aging 104
  • Ecology, Evolution, Behavior and Systematics 332
  • Nature and Landscape Conservation 191
  • Ecology 290
  • Genetics 267
Replace Robert A. Laird with:
Robert A. Laird Canada
Marlène Gamelon Norway
Floriane Plard France
Alfredo Sánchez‐Tójar Germany
Nicholas A. Levis United States
Mathieu Douhard France
Irja I. Ratikainen Norway
Andrew Taber United States
JM McNamara India
Sin‐Yeon Kim Spain
Chad E. Brassil relative to Robert A. Laird Canada Robert A. Laird's profile →
Citations per field
00.5×2.8×
Robert A. Laird · 1×
Citations per year

Countries citing papers authored by Chad E. Brassil

Since Specialization
Citations

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

Fields of papers citing papers by Chad E. Brassil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad E. Brassil. 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 Chad E. Brassil. The network helps show where Chad E. Brassil may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20224
2 201837
3 201745
4 201618
5 201436
6
Composite random search strategies based on non-proximate sensory cues
20131
7 201310
8 20124
9 20124
10 200950
11 200878
12 200860
13 200520
14 200570
15 200539
16 200420
17 200339
18 200352
19 2002125
20 200157

About Chad E. Brassil

Chad E. Brassil is a scholar working on Aging, Nature and Landscape Conservation and Ecology, having authored 27 papers that have together received 864 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (8 papers), Ecology and Vegetation Dynamics Studies (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Animal Ecology and Behavior Studies (5 papers), Animal Behavior and Reproduction (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Wildlife Ecology and Conservation (3 papers) and Soil Carbon and Nitrogen Dynamics (3 papers). The work is most often cited by research in Aging (104 citations), Ecology, Evolution, Behavior and Systematics (332 citations) and Nature and Landscape Conservation (191 citations). Chad E. Brassil has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Russell Bonduriansky, Peter A. Abrams, Robert C. Brooks, Brian A. Couch, Johannes M. H. Knops, Jean P. Gibert, Robert D. Holt, Andrew P. Hendry, Yolanda E. Morbey and Felix Zajitschek. Their work appears in journals such as The American Naturalist, Ecology, Theoretical Population Biology, BioScience and Oecologia.

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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