Daniel R. Tekiela

21 total papers · 424 total citations
15 papers, 315 citations indexed

About

Daniel R. Tekiela is a scholar working on Nature and Landscape Conservation, Ecology and Plant Science. According to data from OpenAlex, Daniel R. Tekiela has authored 15 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nature and Landscape Conservation, 9 papers in Ecology and 5 papers in Plant Science. Recurrent topics in Daniel R. Tekiela's work include Ecology and Vegetation Dynamics Studies (10 papers), Rangeland and Wildlife Management (5 papers) and Animal Ecology and Behavior Studies (4 papers). Daniel R. Tekiela is often cited by papers focused on Ecology and Vegetation Dynamics Studies (10 papers), Rangeland and Wildlife Management (5 papers) and Animal Ecology and Behavior Studies (4 papers). Daniel R. Tekiela collaborates with scholars based in United States, Czechia and Argentina. Daniel R. Tekiela's co-authors include Jacob N. Barney, Bruce D. Maxwell, Petr Pyšek, M. Noelia Barrios‐García, Ruth A. Hufbauer, Martín A. Núñez, Romina D. Dimarco, Michaela Vítková, Aníbal Pauchard and Larissa L. Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing.

In The Last Decade

Daniel R. Tekiela

14 papers receiving 305 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel R. Tekiela 197 133 117 94 65 15 315
Pedram P. Daneshgar 274 1.4× 153 1.2× 118 1.0× 162 1.7× 75 1.2× 13 354
Lotte Korell 136 0.7× 96 0.7× 85 0.7× 99 1.1× 71 1.1× 18 272
Robert V. Taylor 133 0.7× 172 1.3× 81 0.7× 93 1.0× 73 1.1× 18 318
Barbara Lhotsky 189 1.0× 103 0.8× 101 0.9× 84 0.9× 113 1.7× 16 306
Knut Anders Hovstad 175 0.9× 98 0.7× 104 0.9× 80 0.9× 104 1.6× 24 324
Kate Stokes 192 1.0× 184 1.4× 66 0.6× 99 1.1× 92 1.4× 16 364
Lalasia Bialic‐Murphy 145 0.7× 108 0.8× 181 1.5× 100 1.1× 66 1.0× 23 366
Kersti Riibak 222 1.1× 95 0.7× 88 0.8× 147 1.6× 59 0.9× 12 325
Rafael Otfinowski 201 1.0× 134 1.0× 121 1.0× 114 1.2× 51 0.8× 16 311
Jinshi Xu 252 1.3× 106 0.8× 95 0.8× 143 1.5× 93 1.4× 23 359

Countries citing papers authored by Daniel R. Tekiela

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Tekiela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Tekiela. 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 Daniel R. Tekiela. The network helps show where Daniel R. Tekiela may publish in the future.

Co-authorship network of co-authors of Daniel R. Tekiela

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

All Works

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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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