Joan Damerow

719 total citations
11 papers, 209 citations indexed

About

Joan Damerow is a scholar working on Ecological Modeling, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Joan Damerow has authored 11 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecological Modeling, 6 papers in Ecology and 4 papers in Nature and Landscape Conservation. Recurrent topics in Joan Damerow's work include Species Distribution and Climate Change (8 papers), Freshwater macroinvertebrate diversity and ecology (4 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Joan Damerow is often cited by papers focused on Species Distribution and Climate Change (8 papers), Freshwater macroinvertebrate diversity and ecology (4 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Joan Damerow collaborates with scholars based in United States, Spain and Australia. Joan Damerow's co-authors include Vincent H. Resh, Leithen K. M’Gonigle, Narayani Barve, Arturo H. Ariño, Pamela S. Soltis, Robert Guralnick, Raphael LaFrance, Laura Brenskelle, Petra Sierwald and Rüdiger Bieler and has published in prestigious journals such as PLoS ONE, Biodiversity and Conservation and Ecological Informatics.

In The Last Decade

Joan Damerow

11 papers receiving 201 citations

Peers

Joan Damerow

ECOLO

NLC

EEBS

GPC

Daniel Noesgaard United States

Allison D. Binley Canada

Laura Brenskelle United States

Michael Opige United Kingdom

Jeff Gerbracht United States

Jonathan Kennedy United States

Philippe Desjardins-Proulx Canada

Jeffrey W. Doser United States

Tim Hirsch Australia

Yde de Jong Netherlands

Daniel Noesgaard United States

Joan Damerow

160 ×1.1

89 ×0.8

ECOLO

60 ×0.6

NLC

59 ×1.2

EEBS

28 ×1.1

GPC

Citations per year, relative to Joan Damerow Joan Damerow (= 1×) peers Daniel Noesgaard

Countries citing papers authored by Joan Damerow

Since Specialization

Citations

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

Fields of papers citing papers by Joan Damerow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Damerow. 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 Joan Damerow. The network helps show where Joan Damerow may publish in the future.

Co-authorship network of co-authors of Joan Damerow

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

All Works

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11 of 11 papers shown

Hills, Denise, Joan Damerow, Robert Crystal‐Ornelas, et al.. (2022). Earth and Space Science Informatics Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science. Earth and Space Science. 9(4). 3 indexed citations

Agarwal, D., Joan Damerow, Charuleka Varadharajan, et al.. (2021). Balancing the needs of consumers and producers for scientific data collections. Ecological Informatics. 62. 101251–101251. 4 indexed citations

Damerow, Joan, D. Agarwal, Shreyas Cholia, et al.. (2019). Standardizing Metadata Quality Review for an Environmental Data Repository. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

Damerow, Joan, Laura Brenskelle, Narayani Barve, et al.. (2019). Research applications of primary biodiversity databases in the digital age. PLoS ONE. 14(9). e0215794–e0215794. 89 indexed citations

Damerow, Joan, et al.. (2019). <strong>Species occurrence and distribution of Trichoptera (caddisflies) in California</strong>. Zoosymposia. 14(1). 113–133. 5 indexed citations

Rapacciuolo, Giovanni, Joan Damerow, Adam R. Zeilinger, & Vincent H. Resh. (2017). Detecting long-term occupancy changes in Californian odonates from natural history and citizen science records. Biodiversity and Conservation. 26(12). 2933–2949. 21 indexed citations

Damerow, Joan, Laura Brenskelle, Narayani Barve, et al.. (2017). Use of Online Species Occurrence Databases in Published Research since 2010. Biodiversity Information Science and Standards. 1. e20518–e20518. 1 indexed citations

Damerow, Joan, et al.. (2015). California dragonfly and damselfly (Odonata) database: temporal and spatial distribution of species records collected over the past century. ZooKeys. 482(482). 67–89. 10 indexed citations

Damerow, Joan, Leithen K. M’Gonigle, & Vincent H. Resh. (2014). Changes in occurrence, richness, and biological traits of dragonflies and damselflies (Odonata) in California and Nevada over the past century. Biodiversity and Conservation. 23(8). 2107–2126. 50 indexed citations

10.

Damerow, Joan. (2014). Diversity and Distribution of California Dragonflies and Other Aquatic Taxa Over the Past Century. eScholarship (California Digital Library). 1 indexed citations

11.

Damerow, Joan, Leithen K. M’Gonigle, & Vincent H. Resh. (2014). Local and regional factors influencing assemblages of dragonflies and damselflies (Odonata) in California and Nevada. Journal of Insect Conservation. 18(6). 1027–1036. 24 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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