Daniel J. Larkin

5.1k total citations
72 papers, 1.7k citations indexed

About

Daniel J. Larkin is a scholar working on Nature and Landscape Conservation, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daniel J. Larkin has authored 72 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Nature and Landscape Conservation, 43 papers in Ecology and 25 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daniel J. Larkin's work include Ecology and Vegetation Dynamics Studies (42 papers), Coastal wetland ecosystem dynamics (19 papers) and Plant and animal studies (18 papers). Daniel J. Larkin is often cited by papers focused on Ecology and Vegetation Dynamics Studies (42 papers), Coastal wetland ecosystem dynamics (19 papers) and Plant and animal studies (18 papers). Daniel J. Larkin collaborates with scholars based in United States, China and Australia. Daniel J. Larkin's co-authors include Rebecca K. Tonietto, Jeremie B. Fant, Nancy C. Tuchman, John S. Ascher, Pamela Geddes, Shane C. Lishawa, Andrew L. Hipp, Ranjan Muthukrishnan, Rebecca S. Barak and Ronald S. Tjeerdema and has published in prestigious journals such as PLoS ONE, Ecology and Scientific Reports.

In The Last Decade

Daniel J. Larkin

69 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Larkin United States 24 781 768 581 459 262 72 1.7k
Diane L. Larson United States 21 849 1.1× 625 0.8× 523 0.9× 643 1.4× 310 1.2× 65 1.6k
Jes Hines Germany 24 892 1.1× 827 1.1× 862 1.5× 674 1.5× 440 1.7× 56 2.3k
Thibaud Decaëns France 18 527 0.7× 621 0.8× 914 1.6× 293 0.6× 301 1.1× 26 2.0k
Lorna J. Cole United Kingdom 17 628 0.8× 664 0.9× 547 0.9× 238 0.5× 299 1.1× 26 1.6k
Florence Dubs France 22 707 0.9× 640 0.8× 876 1.5× 197 0.4× 492 1.9× 34 1.9k
Bryce A. Richardson United States 23 509 0.7× 644 0.8× 280 0.5× 361 0.8× 343 1.3× 68 1.5k
Markus Bernhardt‐Römermann Germany 26 1.0k 1.3× 556 0.7× 683 1.2× 639 1.4× 451 1.7× 64 1.9k
Pedro Martins da Silva Portugal 19 991 1.3× 734 1.0× 668 1.1× 280 0.6× 901 3.4× 40 2.3k
Valentin H. Klaus Switzerland 28 957 1.2× 686 0.9× 479 0.8× 577 1.3× 595 2.3× 79 1.9k
Pierre Margerie France 17 502 0.6× 539 0.7× 825 1.4× 259 0.6× 262 1.0× 21 1.8k

Countries citing papers authored by Daniel J. Larkin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Larkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Larkin

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Larkin. A scholar is included among the top collaborators of Daniel J. Larkin 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 J. Larkin. Daniel J. Larkin 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.
Doser, Jeffrey W., et al.. (2024). A within-lake occupancy model for starry stonewort, Nitellopsis obtusa, to support early detection and monitoring. Scientific Reports. 14(1). 2644–2644. 3 indexed citations
3.
Larkin, Daniel J.. (2024). Thin lines between native and invasive aquatic plants are common, posing challenges for response efforts. Journal of Applied Ecology. 61(10). 2562–2572. 2 indexed citations
4.
Walsh, Jake R., et al.. (2024). Improving species distribution forecasts by measuring and communicating uncertainty: An invasive species case study. Ecology. 105(5). e4297–e4297. 1 indexed citations
5.
Barak, Rebecca S., et al.. (2022). Phylogenetically and functionally diverse species mixes beget diverse experimental prairies, whether from seeds or plugs. Restoration Ecology. 31(1). 3 indexed citations
6.
Larkin, Daniel J., et al.. (2022). Can Co-Grazing Waterfowl Reduce Brainworm Risk for Goats Browsing in Natural Areas?. EcoHealth. 19(1). 135–144. 2 indexed citations
7.
Barak, Rebecca S., et al.. (2021). The invasion paradox dissolves when using phylogenetic and temporal perspectives. Journal of Ecology. 110(2). 443–456. 19 indexed citations
8.
Larkin, Daniel J., et al.. (2021). Selection on convergent functional traits drives compositional divergence in early succession of a tallgrass prairie restoration experiment. Journal of Ecology. 110(2). 415–429. 8 indexed citations
9.
Williams, Evelyn W., et al.. (2021). Phylogenetic distance and resource availability mediate direction and strength of plant interactions in a competition experiment. Oecologia. 197(2). 459–469. 11 indexed citations
10.
Ksiazek‐Mikenas, Kelly, V. Bala Chaudhary, Daniel J. Larkin, & Krissa A. Skogen. (2021). A habitat analog approach establishes native plant communities on green roofs. Ecosphere. 12(9). 12 indexed citations
11.
Muthukrishnan, Ranjan, et al.. (2020). Desiccation tolerance of the invasive alga starry stonewort (Nitellopsis obtusa) as an indicator of overland spread risk. Journal of Aquatic Plant Management. 58. 7–18. 6 indexed citations
12.
Larkin, Daniel J., et al.. (2020). A new device for sampling submersed aquatic plants using underwater video. Journal of Aquatic Plant Management. 58. 76–82. 1 indexed citations
13.
Larkin, Daniel J., et al.. (2018). Activity and Diversity of Collembola (Insecta) and Mites (Acari) in Litter of a Degraded Midwestern Oak Woodland. The Great Lakes Entomologist. 45(1 & 2). 3 indexed citations
14.
Tonietto, Rebecca K. & Daniel J. Larkin. (2017). Habitat restoration benefits wild bees: A meta‐analysis. Journal of Applied Ecology. 55(2). 582–590. 94 indexed citations
15.
Kelly, John J., et al.. (2017). Bottle effects alter taxonomic composition of wetland soil bacterial communities during the denitrification enzyme activity assay. Soil Biology and Biochemistry. 110. 87–94. 12 indexed citations
16.
Tonietto, Rebecca K., John S. Ascher, & Daniel J. Larkin. (2016). Bee communities along a prairie restoration chronosequence: similar abundance and diversity, distinct composition. Ecological Applications. 27(3). 705–717. 38 indexed citations
17.
Larkin, Daniel J., et al.. (2016). Keeping All the PIECES: Phylogenetically Informed Ex Situ Conservation of Endangered Species. PLoS ONE. 11(6). e0156973–e0156973. 14 indexed citations
18.
Escobar, Luis E., et al.. (2016). Realized niche shift associated with the Eurasian charophyte Nitellopsis obtusa becoming invasive in North America. Scientific Reports. 6(1). 29037–29037. 35 indexed citations
19.
Hull, Ruth N., et al.. (2015). Opportunities and challenges of integrating ecological restoration into assessment and management of contaminated ecosystems. Integrated Environmental Assessment and Management. 12(2). 296–305. 11 indexed citations
20.
Larkin, Daniel J., et al.. (2008). TOPOGRAPHIC HETEROGENEITY INFLUENCES FISH USE OF AN EXPERIMENTALLY RESTORED TIDAL MARSH. Ecological Applications. 18(2). 483–496. 36 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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