Peter M. Jørgensen

6.4k total citations
49 papers, 2.6k citations indexed

About

Peter M. Jørgensen is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Ecological Modeling. According to data from OpenAlex, Peter M. Jørgensen has authored 49 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Ecology, Evolution, Behavior and Systematics, 27 papers in Nature and Landscape Conservation and 16 papers in Ecological Modeling. Recurrent topics in Peter M. Jørgensen's work include Ecology and Vegetation Dynamics Studies (26 papers), Plant and animal studies (20 papers) and Species Distribution and Climate Change (16 papers). Peter M. Jørgensen is often cited by papers focused on Ecology and Vegetation Dynamics Studies (26 papers), Plant and animal studies (20 papers) and Species Distribution and Climate Change (16 papers). Peter M. Jørgensen collaborates with scholars based in United States, Denmark and Bolivia. Peter M. Jørgensen's co-authors include Susana León‐Yánez, Iván Jiménez, Nigel C. A. Pitman, Trisha Consiglio, Brian J. Enquist, Jonathan A. Myers, Alejandro Araujo‐Murakami, Narel Y. Paniagua-Zambrana, Renate Seidel and Jonathan M. Chase and has published in prestigious journals such as Science, PLoS ONE and Ecology.

In The Last Decade

Peter M. Jørgensen

49 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter M. Jørgensen United States 24 1.4k 1.2k 855 664 517 49 2.6k
Jens Mutke Germany 18 1.4k 1.0× 1.5k 1.3× 924 1.1× 841 1.3× 601 1.2× 25 3.0k
Ole R. Vetaas Norway 28 2.5k 1.8× 1.4k 1.2× 1.2k 1.4× 993 1.5× 779 1.5× 86 3.7k
Brad Boyle United States 14 1.1k 0.8× 747 0.6× 623 0.7× 557 0.8× 272 0.5× 19 1.7k
Marco Aurélio Leite Fontes Brazil 22 1.8k 1.3× 1.7k 1.4× 354 0.4× 759 1.1× 538 1.0× 88 3.2k
Francisco Rodríguez‐Sánchez Spain 17 803 0.6× 634 0.5× 707 0.8× 569 0.9× 507 1.0× 37 2.0k
Barnabas H. Daru South Africa 26 1.0k 0.7× 1.0k 0.9× 762 0.9× 586 0.9× 522 1.0× 57 2.3k
Guillermo Ibarra‐Manríquez Mexico 30 1.8k 1.3× 1.4k 1.2× 370 0.4× 544 0.8× 708 1.4× 109 3.1k
J. W. Ferry Slik Netherlands 28 1.7k 1.2× 823 0.7× 496 0.6× 650 1.0× 492 1.0× 50 2.9k
Kyle G. Dexter United Kingdom 31 1.8k 1.3× 1.7k 1.4× 542 0.6× 564 0.8× 553 1.1× 90 3.1k
James V. LaFrankie United States 19 1.7k 1.2× 903 0.8× 495 0.6× 616 0.9× 308 0.6× 33 2.3k

Countries citing papers authored by Peter M. Jørgensen

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. Jørgensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Jørgensen. 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 Peter M. Jørgensen. The network helps show where Peter M. Jørgensen may publish in the future.

Co-authorship network of co-authors of Peter M. Jørgensen

This figure shows the co-authorship network connecting the top 25 collaborators of Peter M. Jørgensen. A scholar is included among the top collaborators of Peter M. Jørgensen 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 Peter M. Jørgensen. Peter M. Jørgensen 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.
Hart, Georgia, Orou G. Gaoue, Hugo Navarrete, et al.. (2017). Availability, diversification and versatility explain human selection of introduced plants in Ecuadorian traditional medicine. PLoS ONE. 12(9). e0184369–e0184369. 46 indexed citations
2.
Jiménez, Iván, et al.. (2017). Phylogenetic patterns of rarity in a regional species pool of tropical woody plants. Global Ecology and Biogeography. 26(9). 1043–1054. 12 indexed citations
3.
Sabatier, Daniel, Alexandre Antonelli, Sylvia Mota de Oliveira, et al.. (2017). A descoberta da flora arbórea da Amazônia com uma lista atualizada de todos os taxa arbóreos conhecidos. Boletim do Museu Paraense Emílio Goeldi - Ciências Naturais. 11(2). 231–261. 3 indexed citations
5.
Tello, J. Sebastián, Jonathan A. Myers, Manuel J. Macía, et al.. (2015). Elevational Gradients in β-Diversity Reflect Variation in the Strength of Local Community Assembly Mechanisms across Spatial Scales. PLoS ONE. 10(3). e0121458–e0121458. 81 indexed citations
6.
Morueta‐Holme, Naia, Benjamin Blonder, Brody Sandel, et al.. (2015). A network approach for inferring species associations from co‐occurrence data. Ecography. 39(12). 1139–1150. 98 indexed citations
7.
Engemann, Kristine, Brian J. Enquist, Brody Sandel, et al.. (2015). Limited sampling hampers “big data” estimation of species richness in a tropical biodiversity hotspot. Ecology and Evolution. 5(3). 807–820. 96 indexed citations
8.
Jørgensen, Peter M., et al.. (2010). Variación de la diversidad y composición florística en relación a la elevación en un bosque montano boliviano (PNANMI Madidi). 45(2). 87–100. 1 indexed citations
9.
Weiser, Michael D., Brian J. Enquist, Brad Boyle, et al.. (2007). Latitudinal patterns of range size and species richness of New World woody plants. Global Ecology and Biogeography. 16(5). 679–688. 51 indexed citations
11.
Araujo‐Murakami, Alejandro, et al.. (2005). Composición florística y estructura del bosque amazónico preandino en el sector del Arroyo Negro, Parque Nacional Madidi, Bolivia. 40(3). 281–303. 9 indexed citations
12.
Araujo‐Murakami, Alejandro, et al.. (2005). Composición florística y estructura del bosque de ceja de monte en Yungas, sector de Tambo Quemado-Pelechuco, Bolivia. 40(3). 325–338. 3 indexed citations
13.
Jørgensen, Peter M., Michael Kessler, Narel Y. Paniagua-Zambrana, et al.. (2005). Lista anotada de las plantas vasculares registradas en la región de Madidi. 40(3). 70–169. 8 indexed citations
14.
Araujo‐Murakami, Alejandro, et al.. (2005). Estructura y diversidad de plantas leñosas en un bosque amazónico preandino en el sector del Río Quendeque, Parque Nacional Madidi, Bolivia. 40(3). 304–324. 4 indexed citations
15.
Toledo, Marisol, et al.. (2005). Composición florística y usos de bosques secundarios en la provincia Guarayos, Santa Cruz, Bolivia. 1–16. 3 indexed citations
16.
Jørgensen, Peter M., et al.. (2005). Caracterización de un bosque montano húmedo: Yungas, La Paz. 40(3). 365–379. 3 indexed citations
17.
Vargas, Julieta, Trisha Consiglio, Peter M. Jørgensen, & Thomas B. Croat. (2004). Modelling distribution patterns in a species‐rich plant genus, Anthurium (Araceae), in Ecuador. Diversity and Distributions. 10(3). 211–216. 31 indexed citations
18.
Pitman, Nigel C. A., et al.. (2002). Extinction‐Rate Estimates for a Modern Neotropical Flora. Conservation Biology. 16(5). 1427–1431. 28 indexed citations
19.
Pitman, Nigel C. A. & Peter M. Jørgensen. (2002). Estimating the Size of the World's Threatened Flora. Science. 298(5595). 989–989. 185 indexed citations
20.
Jørgensen, Peter M., Carmen Ulloa Ulloa, Steven P. Churchill, et al.. (1995). A floristic analysis of the high Andes of Ecuador.. Oncogene. 35(28). 221–237. 34 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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