Malcolm D. Burgess

3.1k total citations · 1 hit paper
57 papers, 1.8k citations indexed

About

Malcolm D. Burgess is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Ecological Modeling. According to data from OpenAlex, Malcolm D. Burgess has authored 57 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Ecology, 23 papers in Ecology, Evolution, Behavior and Systematics and 23 papers in Ecological Modeling. Recurrent topics in Malcolm D. Burgess's work include Avian ecology and behavior (43 papers), Wildlife Ecology and Conservation (29 papers) and Species Distribution and Climate Change (23 papers). Malcolm D. Burgess is often cited by papers focused on Avian ecology and behavior (43 papers), Wildlife Ecology and Conservation (29 papers) and Species Distribution and Climate Change (23 papers). Malcolm D. Burgess collaborates with scholars based in United Kingdom, Germany and Finland. Malcolm D. Burgess's co-authors include Ian P. F. Owens, Tzung‐Su Ding, Peter M. Bennett, Valerie Olson, R. G. Davies, Felix Eigenbrod, Robert S. Ridgely, Andrea J. Webster, Kevin J. Gaston and C. David L. Orme and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Malcolm D. Burgess

55 papers receiving 1.8k citations

Hit Papers

Global hotspots of species richness are not congruent wit... 2005 2026 2012 2019 2005 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Global hotspots of species richness are not congruent with endemism or threat
    2005 919 citations Malcolm D. Burgess et al. profile →

Peers

Malcolm D. Burgess
Manuela González‐Suárez United Kingdom
Octavio Rojas‐Soto Mexico
Jill E. Jankowski Canada
Marta A. Jarzyna United States
Marcelo Ferreira de Vasconcelos Brazil
Tim R. B. Davenport United Kingdom
Frank T. Breiner Switzerland
Xingfeng Si China
Rachel Slatyer Australia
Daijiang Li United States
Manuela González‐Suárez United Kingdom
Malcolm D. Burgess
Citations per year, relative to Malcolm D. Burgess Malcolm D. Burgess (= 1×) peers Manuela González‐Suárez

Countries citing papers authored by Malcolm D. Burgess

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm D. Burgess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm D. Burgess. 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 Malcolm D. Burgess. The network helps show where Malcolm D. Burgess may publish in the future.

Co-authorship network of co-authors of Malcolm D. Burgess

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm D. Burgess. A scholar is included among the top collaborators of Malcolm D. Burgess 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 Malcolm D. Burgess. Malcolm D. Burgess 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
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Bell, Fraser, Janne Ouwehand, Christiaan Both, et al.. (2024). Individuals departing non-breeding areas early achieve earlier breeding and higher breeding success. Scientific Reports. 14(1). 4075–4075. 3 indexed citations
3.
Bryant, Jessica V., John W. Mallord, Fraser Bell, et al.. (2024). Non‐breeding home range and habitat use by European Pied Flycatcher ( Ficedula hypoleuca ) in northwest Liberia: apparent resilience to forest degradation?. Ibis. 167(2). 498–514. 1 indexed citations
4.
Donaldson, Lynda, et al.. (2024). Headstarting boosts population of a threatened wader, the black‐tailed godwit. Animal Conservation. 28(2). 315–327. 3 indexed citations
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Mason, Lucy R., et al.. (2024). Understanding stakeholder perceptions on the impacts of gamebird releasing on or near UK protected sites. Journal for Nature Conservation. 78. 126581–126581.
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Burgess, Malcolm D., et al.. (2023). Changes in the spatial patterns of avian migrations: Evidence, mechanisms and causes. Diversity and Distributions. 29(12). 1527–1545. 2 indexed citations
7.
Douglas, David J. T., et al.. (2023). Early life conditions influence fledging success and subsequent local recruitment rates in a declining migratory songbird, the Whinchat Saxicola rubetra. Ecology and Evolution. 13(7). e10346–e10346. 5 indexed citations
8.
Verhoeven, Mo A., A. H. Jelle Loonstra, Thomas H. Pringle, et al.. (2022). Do ditch‐side electric fences improve the breeding productivity of ground‐nesting waders?. SHILAP Revista de lepidopterología. 3(2). 5 indexed citations
9.
Wheatcroft, David, Jaime Muriel, Malcolm D. Burgess, et al.. (2022). Species-specific song responses emerge as a by-product of tuning to the local dialect. Current Biology. 32(23). 5153–5158.e5. 6 indexed citations
10.
Laaksonen, Toni, Malcolm D. Burgess, Alejandro Cantarero, et al.. (2021). Population differences in the length and early‐life dynamics of telomeres among European pied flycatchers. Molecular Ecology. 31(23). 5966–5978. 10 indexed citations
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Warmuth, Vera, Malcolm D. Burgess, Toni Laaksonen, et al.. (2021). Major population splits coincide with episodes of rapid climate change in a forest-dependent bird. Proceedings of the Royal Society B Biological Sciences. 288(1962). 20211066–20211066. 3 indexed citations
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Verhoeven, Mo A., et al.. (2021). Diagnosing the recent population decline of Black-tailed Godwits in the United Kingdom. NERC Open Research Archive (Natural Environment Research Council). 128(1). 6 indexed citations
14.
Shutt, Jack D., James A. Nicholls, Urmi Trivedi, et al.. (2020). Gradients in richness and turnover of a forest passerine's diet prior to breeding: A mixed model approach applied to faecal metabarcoding data. Molecular Ecology. 29(6). 1199–1213. 35 indexed citations
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Burgess, Malcolm D., Richard D. Gregory, Jeremy D. Wilson, et al.. (2019). A new framework of spatial targeting for single-species conservation planning. Landscape Ecology. 34(12). 2765–2778. 11 indexed citations
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Burgess, Malcolm D., Ken W. Smith, Karl L. Evans, et al.. (2018). Tritrophic phenological match–mismatch in space and time. Nature Ecology & Evolution. 2(6). 970–975. 93 indexed citations
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Burgess, Malcolm D., Malcolm A. C. Nicoll, Carl G. Jones, & Ken Norris. (2011). Multiple environmental gradients affect spatial variation in the productivity of a tropical bird population. Journal of Animal Ecology. 80(3). 688–695. 10 indexed citations
20.
Laaksonen, Toni, Eugen Belskii, Paul R. Berg, et al.. (2011). Candidate genes for colour and vision exhibit signals of selection across the pied flycatcher (Ficedula hypoleuca) breeding range. Heredity. 108(4). 431–440. 31 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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