Daniel K. Niven

28 total papers · 1.7k total citations
19 papers, 868 citations indexed

About

Daniel K. Niven is a scholar working on Ecology, Ecological Modeling and Nature and Landscape Conservation. According to data from OpenAlex, Daniel K. Niven has authored 19 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 9 papers in Ecological Modeling and 4 papers in Nature and Landscape Conservation. Recurrent topics in Daniel K. Niven's work include Avian ecology and behavior (13 papers), Species Distribution and Climate Change (9 papers) and Rangeland and Wildlife Management (9 papers). Daniel K. Niven is often cited by papers focused on Avian ecology and behavior (13 papers), Species Distribution and Climate Change (9 papers) and Rangeland and Wildlife Management (9 papers). Daniel K. Niven collaborates with scholars based in United States, Canada and Mexico. Daniel K. Niven's co-authors include John R. Sauer, William A. Link, Keith L. Pardieck, David J. Ziolkowski, James E. Hines, Jane E. Fallon, G.S. Butcher, Adam C. Smith, Humberto Berlanga and Marie‐Anne R. Hudson and has published in prestigious journals such as Ecological Applications, Journal of Wildlife Management and Ornithological Applications.

In The Last Decade

Daniel K. Niven

19 papers receiving 818 citations

Hit Papers

The North American Breedi... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Daniel K. Niven 691 340 286 213 107 19 868
C.S. Robbins 737 1.1× 227 0.7× 345 1.2× 182 0.9× 119 1.1× 23 851
David J. Ziolkowski 802 1.2× 449 1.3× 343 1.2× 263 1.2× 149 1.4× 15 1.1k
Andy J. Musgrove 516 0.7× 312 0.9× 239 0.8× 125 0.6× 86 0.8× 16 715
Graham E. Austin 775 1.1× 375 1.1× 349 1.2× 264 1.2× 116 1.1× 35 952
Richard Hearn 683 1.0× 243 0.7× 227 0.8× 144 0.7× 84 0.8× 27 785
G. M. Tucker 623 0.9× 226 0.7× 309 1.1× 154 0.7× 155 1.4× 15 820
Victoria J. Bakker 556 0.8× 200 0.6× 314 1.1× 237 1.1× 113 1.1× 31 843
Jeffrey J. Lusk 645 0.9× 172 0.5× 304 1.1× 215 1.0× 129 1.2× 33 891
Victoria R. Jones 696 1.0× 293 0.9× 221 0.8× 151 0.7× 120 1.1× 10 855
Paul F. Haworth 709 1.0× 266 0.8× 349 1.2× 127 0.6× 157 1.5× 25 889

Countries citing papers authored by Daniel K. Niven

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Niven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel K. Niven

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel K. Niven. A scholar is included among the top collaborators of Daniel K. Niven 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 K. Niven. Daniel K. Niven 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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