David A. Lytle

8.8k total citations · 2 hit papers
88 papers, 6.4k citations indexed

About

David A. Lytle is a scholar working on Ecology, Nature and Landscape Conservation and Ecological Modeling. According to data from OpenAlex, David A. Lytle has authored 88 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Ecology, 53 papers in Nature and Landscape Conservation and 20 papers in Ecological Modeling. Recurrent topics in David A. Lytle's work include Fish Ecology and Management Studies (46 papers), Freshwater macroinvertebrate diversity and ecology (33 papers) and Hydrology and Sediment Transport Processes (22 papers). David A. Lytle is often cited by papers focused on Fish Ecology and Management Studies (46 papers), Freshwater macroinvertebrate diversity and ecology (33 papers) and Hydrology and Sediment Transport Processes (22 papers). David A. Lytle collaborates with scholars based in United States, New Zealand and Spain. David A. Lytle's co-authors include N. LeRoy Poff, Michael T. Bogan, David M. Merritt, Julian D. Olden, Kate S. Boersma, Jonathan D. Tonkin, Debra S. Finn, Ivan C. Phillipsen, Laura E. McMullen and Lindsay V. Reynolds and has published in prestigious journals such as Nature, Science and SHILAP Revista de lepidopterología.

In The Last Decade

David A. Lytle

88 papers receiving 6.2k citations

Hit Papers

Adaptation to natural flow regimes 2003 2026 2010 2018 2003 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Lytle United States 40 4.7k 3.8k 1.6k 995 603 88 6.4k
Alexander S. Flecker United States 50 5.5k 1.2× 5.5k 1.5× 743 0.5× 1.5k 1.6× 603 1.0× 138 8.9k
Keith H. Nislow United States 47 3.7k 0.8× 3.8k 1.0× 1.5k 0.9× 1.9k 1.9× 178 0.3× 132 6.2k
Bernard W. Sweeney United States 35 3.4k 0.7× 2.3k 0.6× 671 0.4× 416 0.4× 417 0.7× 77 4.4k
Michael M. Douglas Australia 39 2.8k 0.6× 2.7k 0.7× 498 0.3× 2.0k 2.0× 327 0.5× 147 5.1k
Scott D. Cooper United States 38 3.8k 0.8× 3.1k 0.8× 390 0.3× 1.4k 1.4× 381 0.6× 90 5.8k
Loren M. Smith United States 40 3.4k 0.7× 1.4k 0.4× 430 0.3× 1.3k 1.3× 404 0.7× 188 5.0k
Guy Woodward United Kingdom 54 6.7k 1.4× 4.9k 1.3× 951 0.6× 2.1k 2.1× 1.5k 2.4× 125 10.9k
Charles B. Yackulic United States 35 2.8k 0.6× 2.3k 0.6× 763 0.5× 929 0.9× 1.3k 2.1× 122 4.7k
Bradley J. Pusey Australia 41 3.0k 0.6× 3.6k 1.0× 1.3k 0.8× 1.1k 1.1× 227 0.4× 112 5.3k
Barbara J. Downes Australia 34 3.1k 0.7× 2.2k 0.6× 420 0.3× 780 0.8× 275 0.5× 96 4.1k

Countries citing papers authored by David A. Lytle

Since Specialization
Citations

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

Fields of papers citing papers by David A. Lytle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Lytle. 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 David A. Lytle. The network helps show where David A. Lytle may publish in the future.

Co-authorship network of co-authors of David A. Lytle

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Lytle. A scholar is included among the top collaborators of David A. Lytle 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 David A. Lytle. David A. Lytle 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.
Tylianakis, Jason M., et al.. (2025). Ecological and evolutionary consequences of changing seasonality. Science. 388(6750). eads4880–eads4880. 7 indexed citations
2.
Messager, Mathis, Julian D. Olden, Jonathan D. Tonkin, et al.. (2023). A metasystem approach to designing environmental flows. BioScience. 73(9). 643–662. 7 indexed citations
3.
Abernethy, Erin F., et al.. (2021). Hydropeaking intensity and dam proximity limit aquatic invertebrate diversity in the Colorado River Basin. Ecosphere. 12(6). 14 indexed citations
4.
Bateman, Heather L., et al.. (2021). Integrated ecosystems: linking food webs through reciprocal resource reliance. Ecology. 102(9). e03450–e03450. 10 indexed citations
5.
Tonkin, Jonathan D., Russell G. Death, Timo Muotka, Anna Astorga, & David A. Lytle. (2018). Do latitudinal gradients exist in New Zealand stream invertebrate metacommunities?. PeerJ. 6. e4898–e4898. 8 indexed citations
6.
Mims, Meryl C., et al.. (2017). Traits-based approaches support the conservation relevance of landscape genetics. Conservation Genetics. 19(1). 17–26. 9 indexed citations
7.
Tonkin, Jonathan D., Florian Altermatt, Debra S. Finn, et al.. (2017). The role of dispersal in river network metacommunities: Patterns, processes, and pathways. Freshwater Biology. 63(1). 141–163. 295 indexed citations breakdown →
8.
Tonkin, Jonathan D., David M. Merritt, Julian D. Olden, Lindsay V. Reynolds, & David A. Lytle. (2017). Flow regime alteration degrades ecological networks in riparian ecosystems. Nature Ecology & Evolution. 2(1). 86–93. 186 indexed citations
9.
Tonkin, Jonathan D., Michael T. Bogan, Núria Bonada‬‬‬‬‬‬‬‬‬‬‬, Blanca Ríos‐Touma, & David A. Lytle. (2017). Seasonality and predictability shape temporal species diversity. Ecology. 98(5). 1201–1216. 245 indexed citations
10.
Lytle, David A., David M. Merritt, Jonathan D. Tonkin, Julian D. Olden, & Lindsay V. Reynolds. (2017). Linking river flow regimes to riparian plant guilds: a community‐wide modeling approach. Ecological Applications. 27(4). 1338–1350. 47 indexed citations
12.
McMullen, Laura E. & David A. Lytle. (2012). Quantifying invertebrate resistance to floods: a global‐scale meta‐analysis. Ecological Applications. 22(8). 2164–2175. 57 indexed citations
13.
Finn, Debra S., Michael T. Bogan, & David A. Lytle. (2009). Demographic Stability Metrics for Conservation Prioritization of Isolated Populations. Conservation Biology. 23(5). 1185–1194. 20 indexed citations
14.
Hall, Spencer R., Mathew A. Leibold, David A. Lytle, & Val H. Smith. (2007). GRAZERS, PRODUCER STOICHIOMETRY, AND THE LIGHT : NUTRIENT HYPOTHESIS REVISITED. Ecology. 88(5). 1142–1152. 39 indexed citations
15.
Hall, Spencer R., Mathew A. Leibold, David A. Lytle, & Val H. Smith. (2006). Inedible Producers in Food Webs: Controls on Stoichiometric Food Quality and Composition of Grazers. The American Naturalist. 167(5). 628–637. 18 indexed citations
16.
Lytle, David A. & N. LeRoy Poff. (2003). Adaptation to natural flow regimes. Trends in Ecology & Evolution. 19(2). 94–100. 1398 indexed citations breakdown →
17.
Lytle, David A.. (2001). Disturbance Regimes and Life‐History Evolution. The American Naturalist. 157(5). 525–536. 146 indexed citations
18.
Lytle, David A.. (2001). Convergent growth regulation in arthropods: biological fact or statistical artifact?. Oecologia. 128(1). 56–61. 15 indexed citations
19.
Lytle, David A., M. W. Emmett‐Oglesby, & David Stephens. (1995). Discriminative stimulus effects of midazolam and abecarnil in rats treated chronically with diazepam or abecarnil. Psychopharmacology. 121(3). 339–346. 5 indexed citations
20.
Emmett‐Oglesby, M. W., et al.. (1993). Abecarnil Used to Treat Benzodiazepine Withdrawal. PubMed. 11. 121–131. 3 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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