Amber E Budden

45 papers receiving 2.1k citations

Amber E Budden's Hit Papers

Big data and the future of ecology 2013 · 693 citations
6930+4+8Years since publication200400600

Peers

Amber E Budden
Comparison fields: 5 of 152
  • Ecological Modeling 453
  • Developmental Biology 113
  • Statistics, Probability and Uncertainty 332
  • Information Systems and Management 283
  • Ecology 641
Replace Michael H. MacRoberts with:
Michael H. MacRoberts United States
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Barbara R. MacRoberts United States
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Ulf Sandström Sweden
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Amber E Budden relative to Michael H. MacRoberts United States Michael H. MacRoberts's profile →
Citations per field
00.5×6.9×
Michael H. MacRoberts · 1×
Citations per year

Countries citing papers authored by Amber E Budden

Since Specialization
Citations

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

Fields of papers citing papers by Amber E Budden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Big data and the future of ecology
Hit paper breakdown →
2013693
2 2007376
3 1996152
4 2001125
5 2011109
6 200786
7 200974
8 201959
9 201759
10 200959
11 200852
12 200148
13 200841
14 200927
15 200427
16 201425
17 201221
18 200519
19 200918
20 200518

About Amber E Budden

Amber E Budden is a scholar working on Statistics, Probability and Uncertainty, Information Systems, Ecological Modeling, Information Systems and Management and Ecology, Evolution, Behavior and Systematics, having authored 48 papers that have together received 2.3k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (14 papers), Species Distribution and Climate Change (13 papers), Research Data Management Practices (13 papers), Animal Behavior and Reproduction (10 papers), Scientific Computing and Data Management (10 papers), Avian ecology and behavior (8 papers), Meta-analysis and systematic reviews (6 papers) and Data Quality and Management (5 papers). The work is most often cited by research in Ecological Modeling (453 citations), Developmental Biology (113 citations), Statistics, Probability and Uncertainty (332 citations), Information Systems and Management (283 citations) and Ecology (641 citations). Amber E Budden has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Christopher J. Lortie, Lonnie W. Aarssen, Roosa Leimu, Tom Tregenza, Julia Koricheva, Jonathan Wright, Carly Strasser, Stephanie E. Hampton, Archer L. Batcheller and Joshua J. Tewksbury. Their work appears in journals such as Frontiers in Ecology and the Environment, BioScience, Trends in Ecology & Evolution, PLoS ONE and Behavioral Ecology and Sociobiology.

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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