Oliver Muellerklein

743 total citations
10 papers, 447 citations indexed

About

Oliver Muellerklein is a scholar working on Ecology, Ecological Modeling and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Oliver Muellerklein has authored 10 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecology, 4 papers in Ecological Modeling and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Oliver Muellerklein's work include Species Distribution and Climate Change (4 papers), Avian ecology and behavior (3 papers) and Plant and animal studies (3 papers). Oliver Muellerklein is often cited by papers focused on Species Distribution and Climate Change (4 papers), Avian ecology and behavior (3 papers) and Plant and animal studies (3 papers). Oliver Muellerklein collaborates with scholars based in United States, South Africa and Spain. Oliver Muellerklein's co-authors include Wayne M. Getz, Maggi Kelly, Colin J. Carlson, Sergey V. Mironov, José A. Sánchez‐Zapata, Eric R. Dougherty, Kevin R. Burgio, Giovanni Castaldo, Nyeema C. Harris and Roger Jovani and has published in prestigious journals such as Ecology, Water Research and Scientific Reports.

In The Last Decade

Oliver Muellerklein

10 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oliver Muellerklein United States	8	201	90	84	65	61	10	447
Simon Tollington United Kingdom	11	201 1.0×	56 0.6×	58 0.7×	60 0.9×	52 0.9×	20	370
Jim Casaer Belgium	13	320 1.6×	55 0.6×	77 0.9×	64 1.0×	59 1.0×	61	502
Cody W. Thompson United States	9	209 1.0×	71 0.8×	76 0.9×	65 1.0×	30 0.5×	27	347
Dustin Smith United States	10	157 0.8×	54 0.6×	77 0.9×	62 1.0×	107 1.8×	40	481
Paula Pappalardo United States	17	266 1.3×	64 0.7×	41 0.5×	97 1.5×	160 2.6×	26	561
Te‐En Lin Taiwan	11	157 0.8×	58 0.6×	111 1.3×	50 0.8×	86 1.4×	26	293
Shukor Md Nor Malaysia	12	291 1.4×	99 1.1×	131 1.6×	46 0.7×	66 1.1×	60	562
Tracey Hollings Australia	11	322 1.6×	42 0.5×	99 1.2×	81 1.2×	117 1.9×	16	562
Bradley J. Udell United States	10	233 1.2×	77 0.9×	71 0.8×	66 1.0×	85 1.4×	19	455
Nicolás Peñafiel Ecuador	10	122 0.6×	63 0.7×	91 1.1×	66 1.0×	154 2.5×	13	359

Countries citing papers authored by Oliver Muellerklein

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Muellerklein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Muellerklein

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Muellerklein. A scholar is included among the top collaborators of Oliver Muellerklein 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 Oliver Muellerklein. Oliver Muellerklein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Wang, Runzi, et al.. (2022). Comparing stormwater quality and watershed typologies across the United States: A machine learning approach. Water Research. 216. 118283–118283. 16 indexed citations

2.

Miao, Zhongqi, Kaitlyn M. Gaynor, Jiayun Wang, et al.. (2019). Insights and approaches using deep learning to classify wildlife. Scientific Reports. 9(1). 8137–8137. 80 indexed citations

3.

Getz, Wayne M., et al.. (2018). Modeling epidemics: A primer and Numerus Model Builder implementation. Epidemics. 25. 9–19. 22 indexed citations

4.

Martínez, Ari E., et al.. (2018). Fear‐based niche shifts in neotropical birds. Ecology. 99(6). 1338–1346. 36 indexed citations

5.

Moleón, Marcos, et al.. (2017). Carnivore carcasses are avoided by carnivores. Journal of Animal Ecology. 86(5). 1179–1191. 57 indexed citations

6.

Muellerklein, Oliver, et al.. (2017). A review of the emergent ecosystem of collaborative geospatial tools for addressing environmental challenges. Computers Environment and Urban Systems. 65. 79–92. 49 indexed citations

7.

Carlson, Colin J., Kevin R. Burgio, Eric R. Dougherty, et al.. (2017). Parasite biodiversity faces extinction and redistribution in a changing climate. Science Advances. 3(9). e1602422–e1602422. 168 indexed citations

8.

Muellerklein, Oliver, et al.. (2016). Documentation of female song in a newly recognized species, the Puerto Rican Oriole (<em>Icterus portoricensis</em>). Journal of Caribbean Ornithology. 29. 28–36. 7 indexed citations

9.

Getz, Wayne M., Oliver Muellerklein, Richard Salter, et al.. (2016). A web app for population viability and harvesting analyses. Natural Resource Modeling. 30(2). 4 indexed citations

10.

Muellerklein, Oliver, et al.. (2016). Documentation of female song in a newly recognized species, the Puerto Rican Oriole (Icterus portoricensis). Maryland Shared Open Access Repository (USMAI Consortium). 8 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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