Thomas E. Dilts

1.3k total citations
41 papers, 952 citations indexed

About

Thomas E. Dilts is a scholar working on Ecology, Nature and Landscape Conservation and Global and Planetary Change. According to data from OpenAlex, Thomas E. Dilts has authored 41 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ecology, 20 papers in Nature and Landscape Conservation and 16 papers in Global and Planetary Change. Recurrent topics in Thomas E. Dilts's work include Ecology and Vegetation Dynamics Studies (18 papers), Rangeland and Wildlife Management (16 papers) and Wildlife Ecology and Conservation (11 papers). Thomas E. Dilts is often cited by papers focused on Ecology and Vegetation Dynamics Studies (18 papers), Rangeland and Wildlife Management (16 papers) and Wildlife Ecology and Conservation (11 papers). Thomas E. Dilts collaborates with scholars based in United States, Cambodia and China. Thomas E. Dilts's co-authors include Peter J. Weisberg, Jian Yang, Robert M. Scheller, Carl N. Skinner, E. Louise Loudermilk, Elizabeth A. Leger, Marjorie D. Matocq, Todd C. Esque, Kenneth E. Nussear and Richard D. Inman and has published in prestigious journals such as Science, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Thomas E. Dilts

40 papers receiving 925 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas E. Dilts United States 19 485 426 361 245 174 41 952
Dorothee Hodapp Germany 15 658 1.4× 432 1.0× 489 1.4× 236 1.0× 193 1.1× 21 1.3k
Yongyut Trisurat Thailand 18 382 0.8× 485 1.1× 195 0.5× 223 0.9× 123 0.7× 38 923
Cynthia S. Loftin United States 19 562 1.2× 313 0.7× 316 0.9× 160 0.7× 144 0.8× 58 1.0k
Valerio Amici Italy 16 414 0.9× 447 1.0× 268 0.7× 177 0.7× 95 0.5× 27 891
Deborah A. Procter United Kingdom 3 401 0.8× 476 1.1× 441 1.2× 184 0.8× 205 1.2× 3 1.0k
Ralph Mac Nally Australia 8 521 1.1× 304 0.7× 418 1.2× 211 0.9× 152 0.9× 8 931
Riho Marja Estonia 12 393 0.8× 672 1.6× 286 0.8× 98 0.4× 205 1.2× 27 1.1k
Ian May United Kingdom 5 334 0.7× 447 1.0× 485 1.3× 174 0.7× 300 1.7× 7 1.1k
Jesper Erenskjold Moeslund Denmark 14 350 0.7× 243 0.6× 414 1.1× 212 0.9× 193 1.1× 29 829
Petra Šímová Czechia 21 637 1.3× 459 1.1× 333 0.9× 372 1.5× 112 0.6× 40 1.1k

Countries citing papers authored by Thomas E. Dilts

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Dilts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Dilts. 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 Thomas E. Dilts. The network helps show where Thomas E. Dilts may publish in the future.

Co-authorship network of co-authors of Thomas E. Dilts

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas E. Dilts. A scholar is included among the top collaborators of Thomas E. Dilts 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 Thomas E. Dilts. Thomas E. Dilts 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.
2.
Dilts, Thomas E., et al.. (2023). Pygmy rabbit habitat network reveals threats and opportunities for management and conservation. Landscape Ecology. 38(8). 1971–1989. 1 indexed citations
3.
Stewart, Kelley M., Kevin T. Shoemaker, Mike Cox, et al.. (2023). Changes in selection of resources with reproductive state in a montane ungulate. Movement Ecology. 11(1). 20–20. 7 indexed citations
4.
Dilts, Thomas E., et al.. (2023). Agricultural margins could enhance landscape connectivity for pollinating insects across the Central Valley of California, U.S.A.. PLoS ONE. 18(2). e0267263–e0267263. 3 indexed citations
5.
Dilts, Thomas E., et al.. (2023). Improved topographic ruggedness indices more accurately model fine-scale ecological patterns. Landscape Ecology. 38(6). 1395–1410. 18 indexed citations
6.
Keeley, Annika T. H., Alexander K. Fremier, Patrick R. Huber, et al.. (2021). Governing Ecological Connectivity in Cross-Scale Dependent Systems. BioScience. 72(4). 372–386. 18 indexed citations
7.
Dilts, Thomas E., et al.. (2021). Holocene-era landscape conditions affect genetic connectivity in a sagebrush obligate species, the pygmy rabbit (Brachylagus idahoensis). Landscape Ecology. 36(12). 3575–3590. 3 indexed citations
8.
Ngor, Peng Bun, Thomas E. Dilts, Suzanne J. Kelson, et al.. (2021). Spatial and Long-Term Temporal Changes in Water Quality Dynamics of the Tonle Sap Ecosystem. Water. 13(15). 2059–2059. 9 indexed citations
9.
Holding, Matthew L., et al.. (2021). Adaptive divergence despite low effective population size in a peripherally isolated population of the pygmy rabbit, Brachylagus idahoensis. Molecular Ecology. 30(17). 4173–4188. 3 indexed citations
10.
Tromboni, Flavia, Thomas E. Dilts, Sarah E. Null, et al.. (2021). Changing Land Use and Population Density Are Degrading Water Quality in the Lower Mekong Basin. Water. 13(14). 1948–1948. 19 indexed citations
11.
Garbarino, Matteo, et al.. (2020). Upper and lower treeline biogeographic patterns in semi‐arid pinyon‐juniper woodlands. Journal of Biogeography. 47(12). 2634–2644. 5 indexed citations
12.
Stewart, Kelley M., et al.. (2019). Resource selection of mule deer in a shrub‐steppe ecosystem: influence of woodland distribution and animal behavior. Ecosphere. 10(11). 18 indexed citations
13.
Weisberg, Peter J., et al.. (2018). Landscape dynamics of Great Basin pinyon-juniper woodlands: expansion, or regional decline?. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
14.
Dilts, Thomas E., et al.. (2017). Climate variability affects the germination strategies exhibited by arid land plants. Oecologia. 185(3). 437–452. 27 indexed citations
15.
Baughman, Owen W., et al.. (2017). Cheatgrass Die-Offs: A Unique Restoration Opportunity in Northern Nevada. Rangelands. 39(6). 165–173. 5 indexed citations
16.
Dilts, Thomas E., Peter J. Weisberg, Marjorie D. Matocq, et al.. (2015). Multi-scale connectivity and graph theory highlight critical areas for conservation under climate change. Ecological Applications. 3 indexed citations
17.
Yang, Jian, Peter J. Weisberg, Douglas J. Shinneman, et al.. (2015). Fire modulates climate change response of simulated aspen distribution across topoclimatic gradients in a semi-arid montane landscape. Landscape Ecology. 30(6). 1055–1073. 33 indexed citations
18.
Weisberg, Peter J., et al.. (2014). Guild-specific responses of avian species richness to LiDAR-derived habitat heterogeneity. Acta Oecologica. 59. 72–83. 40 indexed citations
19.
Ammon, Elisabeth M., et al.. (2013). Comparison of bird community indices for riparian restoration planning and monitoring. Ecological Indicators. 34. 159–167. 19 indexed citations
20.
Dilts, Thomas E., et al.. (2010). Mapping Riparian Vegetation with Lidar Data Predicting plant community distribution using height above river and flood height. 5 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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