Scott Chamberlain

4.4k total citations · 2 hit papers
65 papers, 1.9k citations indexed

About

Scott Chamberlain is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Ecological Modeling. According to data from OpenAlex, Scott Chamberlain has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ecology, Evolution, Behavior and Systematics, 18 papers in Plant Science and 13 papers in Ecological Modeling. Recurrent topics in Scott Chamberlain's work include Plant and animal studies (21 papers), Plant Parasitism and Resistance (16 papers) and Species Distribution and Climate Change (13 papers). Scott Chamberlain is often cited by papers focused on Plant and animal studies (21 papers), Plant Parasitism and Resistance (16 papers) and Species Distribution and Climate Change (13 papers). Scott Chamberlain collaborates with scholars based in United States, Canada and United Kingdom. Scott Chamberlain's co-authors include J. Nathaniel Holland, Eduard Szöcs, Jennifer A. Rudgers, Judith L. Bronstein, Karthik Ram, Carl Boettiger, Liam J. Revell, Jana C. Vamosi, Kenneth D. Whitney and Elizabeth Elle and has published in prestigious journals such as PLoS ONE, Ecology and Ecology Letters.

In The Last Decade

Scott Chamberlain

63 papers receiving 1.9k citations

Hit Papers

How context dependent are species interactions? 2013 2026 2017 2021 2014 2013 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Scott Chamberlain United States 18 1.1k 574 572 546 459 65 1.9k
David M. Althoff United States 24 979 0.9× 486 0.8× 578 1.0× 433 0.8× 236 0.5× 55 1.7k
Marjorie G. Weber United States 21 1.2k 1.1× 514 0.9× 720 1.3× 534 1.0× 330 0.7× 51 2.0k
Tom E. X. Miller United States 30 1.2k 1.1× 553 1.0× 487 0.9× 857 1.6× 707 1.5× 74 2.2k
Eleanor E. Dormontt Australia 13 702 0.7× 547 1.0× 390 0.7× 615 1.1× 660 1.4× 20 1.9k
Paul G. Craze United Kingdom 12 1.2k 1.1× 332 0.6× 605 1.1× 632 1.2× 284 0.6× 20 1.7k
Juan P. González‐Varo Spain 27 1.7k 1.6× 497 0.9× 814 1.4× 1.1k 2.1× 649 1.4× 57 2.6k
Paul‐Michael Agapow United Kingdom 19 660 0.6× 657 1.1× 773 1.4× 561 1.0× 635 1.4× 33 2.6k
Etienne K. Klein France 26 1.1k 1.0× 957 1.7× 781 1.4× 1.0k 1.8× 539 1.2× 70 2.5k
Brigitte Tenhumberg United States 22 655 0.6× 288 0.5× 427 0.7× 721 1.3× 908 2.0× 81 2.1k
Chris Preston United Kingdom 26 1.4k 1.3× 368 0.6× 883 1.5× 1.0k 1.9× 814 1.8× 78 2.9k

Countries citing papers authored by Scott Chamberlain

Since Specialization
Citations

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

Fields of papers citing papers by Scott Chamberlain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Chamberlain

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Chamberlain. A scholar is included among the top collaborators of Scott Chamberlain 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 Scott Chamberlain. Scott Chamberlain 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
1.
Guzman, Laura Melissa, Scott Chamberlain, & Elizabeth Elle. (2021). Network robustness and structure depend on the phenological characteristics of plants and pollinators. Ecology and Evolution. 11(19). 13321–13334. 15 indexed citations
2.
Mitchell, Nora, Scott Chamberlain, & Kenneth D. Whitney. (2021). Proximity to crop relatives determines some patterns of natural selection in a wild sunflower. Evolutionary Applications. 14(5). 1328–1342. 6 indexed citations
3.
Chamberlain, Scott, et al.. (2020). taxadb: A high‐performance local taxonomic database interface. Methods in Ecology and Evolution. 11(9). 1153–1159. 14 indexed citations
4.
Chamberlain, Scott, Zachary Foster, Ígnasi Bartomeus, et al.. (2020). Species Trait Data from Around the Web [R package traits version 0.5.0]. 1 indexed citations
5.
Chamberlain, Scott. (2020). 'NOAA' Weather Data from R [R package rnoaa version 1.1.0]. 2 indexed citations
6.
Chamberlain, Scott & Damiano Oldoni. (2020). Interface to the Global 'Biodiversity' Information Facility API [R package rgbif version 3.3.0]. 8 indexed citations
7.
Chamberlain, Scott. (2018). Get Landsat 8 Data from Amazon Public Data Sets [R package getlandsat version 0.2.0]. 1 indexed citations
8.
Bennett, Judith A., et al.. (2018). Current state of automated legal advice tools. 2 indexed citations
9.
Guo, Hongyu, Scott Chamberlain, Eran Elhaik, et al.. (2015). Geographic Variation in Plant Community Structure of Salt Marshes: Species, Functional and Phylogenetic Perspectives. PLoS ONE. 10(5). e0127781–e0127781. 11 indexed citations
10.
Boettiger, Carl, Scott Chamberlain, Edmund Hart, & Karthik Ram. (2015). Building Software, Building Community: Lessons from the rOpenSci Project. Journal of Open Research Software. 3(1). 8–8. 47 indexed citations
11.
Chamberlain, Scott, et al.. (2014). Traits and phylogenetic history contribute to network structure across Canadian plant–pollinator communities. Oecologia. 176(2). 545–556. 41 indexed citations
12.
Chamberlain, Scott & Eduard Szöcs. (2013). taxize: taxonomic search and retrieval in R. F1000Research. 2. 191–191. 375 indexed citations breakdown →
14.
Chamberlain, Scott, et al.. (2010). Do extrafloral nectar resources, species abundances, and body sizes contribute to the structure of ant–plant mutualistic networks?. Oecologia. 164(3). 741–750. 36 indexed citations
15.
Chamberlain, Scott & J. Nathaniel Holland. (2009). Quantitative synthesis of context dependency in ant–plant protection mutualisms. Ecology. 90(9). 2384–2392. 194 indexed citations
16.
Holland, J. Nathaniel, et al.. (2009). Temporal variation in extrafloral nectar secretion by reproductive tissues of the senita cactus, Pachycereus schottii (Cactaceae), in the Sonoran Desert of Mexico. Journal of Arid Environments. 74(6). 712–714. 18 indexed citations
17.
Chamberlain, Scott, et al.. (2008). Role of Honey Bees (Hymenoptera: Apidae) in the Pollination Biology of a California Native Plant, <I>Triteleia laxa</I> (Asparagales: Themidaceae). Environmental Entomology. 37(3). 808–816. 11 indexed citations
18.
Chamberlain, Scott & J. Nathaniel Holland. (2008). DENSITY‐MEDIATED, CONTEXT‐DEPENDENT CONSUMER–RESOURCE INTERACTIONS BETWEEN ANTS AND EXTRAFLORAL NECTAR PLANTS. Ecology. 89(5). 1364–1374. 57 indexed citations
19.
Chamberlain, Scott, et al.. (2006). BIOLOGY OF THE GEOPHYTIC LILY, TRITELEIA LAXA (THEMIDACEAE), IN GRASSLANDS OF THE NORTHERN SACRAMENTO VALLEY. Madroño. 53(4). 321–341. 6 indexed citations
20.
Wong, Raymond K., et al.. (2002). Distributed situation awareness for C2 platforms. 5. 4354–4359. 1 indexed citations

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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