Greg Newman

5.6k total citations · 3 hit papers
59 papers, 4.0k citations indexed

About

Greg Newman is a scholar working on Ecological Modeling, Social Psychology and Ecology. According to data from OpenAlex, Greg Newman has authored 59 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Ecological Modeling, 18 papers in Social Psychology and 16 papers in Ecology. Recurrent topics in Greg Newman's work include Species Distribution and Climate Change (43 papers), Animal and Plant Science Education (17 papers) and Plant and animal studies (12 papers). Greg Newman is often cited by papers focused on Species Distribution and Climate Change (43 papers), Animal and Plant Science Education (17 papers) and Plant and animal studies (12 papers). Greg Newman collaborates with scholars based in United States, Canada and Australia. Greg Newman's co-authors include Alycia Crall, Thomas J. Stohlgren, J. H. Graham, Andrea Wiggins, Kevin Crowston, Donald M. Waller, Sarah Newman, Kirstin A. Holfelder, Geneva W. Chong and Lisa D. Schell and has published in prestigious journals such as PLoS Biology, Computers in Human Behavior and Conservation Biology.

In The Last Decade

Greg Newman

56 papers receiving 3.6k citations

Hit Papers

EXOTIC PLANT SPECIES INVADE HOT SPOTS OF NATIVE PLANT DIV... 1999 2026 2008 2017 1999 2016 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg Newman United States 25 1.9k 1.4k 1.2k 770 746 59 4.0k
Paul Jepson United Kingdom 34 1.3k 0.7× 1.5k 1.1× 1.3k 1.1× 665 0.9× 865 1.2× 87 4.1k
David N. Bonter United States 23 1.8k 1.0× 2.1k 1.5× 788 0.7× 890 1.2× 662 0.9× 56 4.0k
Andrés García Mexico 14 1.3k 0.7× 1.7k 1.2× 1.1k 0.9× 860 1.1× 364 0.5× 34 3.8k
Graeme Newell Australia 37 2.2k 1.2× 2.2k 1.5× 1.4k 1.2× 747 1.0× 556 0.7× 205 6.6k
Tatsuya Amano United Kingdom 42 1.8k 0.9× 2.8k 2.0× 1.5k 1.3× 976 1.3× 374 0.5× 138 6.0k
Ivan Jarić Czechia 31 750 0.4× 1.6k 1.2× 1.2k 1.0× 535 0.7× 480 0.6× 130 4.1k
Michael J. O. Pocock United Kingdom 37 1.2k 0.7× 1.4k 1.0× 999 0.8× 1.6k 2.1× 399 0.5× 74 4.0k
Caren B. Cooper United States 35 2.2k 1.2× 2.1k 1.5× 793 0.7× 1.0k 1.3× 1.3k 1.7× 88 6.0k
Kimberly R. Hall United States 19 2.1k 1.1× 2.4k 1.7× 1.5k 1.3× 1.2k 1.6× 326 0.4× 51 5.4k
Kenneth V. Rosenberg United States 32 2.3k 1.2× 3.5k 2.5× 1.6k 1.3× 950 1.2× 574 0.8× 85 5.9k

Countries citing papers authored by Greg Newman

Since Specialization
Citations

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

Fields of papers citing papers by Greg Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Newman

This figure shows the co-authorship network connecting the top 25 collaborators of Greg Newman. A scholar is included among the top collaborators of Greg Newman 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 Greg Newman. Greg Newman 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.
Glynn, Pierre D., et al.. (2025). Biocultural evolution, narratives, and emerging cultures of sustainability. Mitigation and Adaptation Strategies for Global Change. 30(2). 1 indexed citations
2.
Newman, Greg, et al.. (2024). Misalignment Between Citizen Science Project Leaders and Their Organizations Increases the Challenges They Face Achieving Project Outcomes. Society & Natural Resources. 37(7). 1017–1034. 1 indexed citations
3.
Newman, Greg, et al.. (2023). What's in a name? The paradox of citizen science and community science. Frontiers in Ecology and the Environment. 21(5). 244–250. 24 indexed citations
4.
Newman, Greg, et al.. (2021). CitSci.org & PPSR Core: Sharing biodiversity observations across platforms. Biodiversity Information Science and Standards. 5.
5.
Newman, Sarah, et al.. (2019). Designing a Platform for Ethical Citizen Science: A Case Study of CitSci.org. Citizen Science Theory and Practice. 4(1). 17 indexed citations
6.
Jordan, Rebecca, Alycia Crall, Cindy E. Hmelo‐Silver, et al.. (2018). Developing Model‐Building as a Scientific Practice in Collaborative Citizen Science. Natural sciences education. 47(1). 1–7. 3 indexed citations
7.
Hmelo‐Silver, Cindy E., Rebecca Jordan, Joey Huang, et al.. (2015). Engaging citizen scientists in model-based reasoning. Computer Supported Collaborative Learning. 693–694. 1 indexed citations
8.
Newman, Greg, et al.. (2015). CitSci.org: A New Model for Managing, Documenting, and Sharing Citizen Science Data. PLoS Biology. 13(10). e1002280–e1002280. 24 indexed citations
9.
10.
Newman, Greg, et al.. (2013). Facilitating the Development and Evaluation of a Citizen Science Web site: A Case Study of Repeat Photography and Climate Change in Southwest Alaska's National Parks. Applied Environmental Education & Communication. 12(4). 261–271. 3 indexed citations
11.
Newman, Greg, Andrea Wiggins, Alycia Crall, et al.. (2012). The future of citizen science: emerging technologies and shifting paradigms. Front Ecol Environ. 10 indexed citations
12.
Crall, Alycia, Greg Newman, Thomas J. Stohlgren, et al.. (2011). Assessing citizen science data quality: an invasive species case study. Conservation Letters. 4(6). 433–442. 292 indexed citations
13.
Young, Nicholas E., Thomas J. Stohlgren, Paul Evangelista, et al.. (2011). Regional data refine local predictions: modeling the distribution of plant species abundance on a portion of the central plains. Environmental Monitoring and Assessment. 184(9). 5439–5451. 10 indexed citations
14.
Graham, J. H., Catherine S. Jarnevich, Annie Simpson, Greg Newman, & Thomas J. Stohlgren. (2011). Federated or cached searches: Providing expected performance from multiple invasive species databases. Frontiers of Earth Science. 5(2). 111–119. 2 indexed citations
15.
Cronje, Ruth J., et al.. (2011). Does Participation in Citizen Science Improve Scientific Literacy? A Study to Compare Assessment Methods. Applied Environmental Education & Communication. 10(3). 135–145. 89 indexed citations
16.
Newman, Greg, J. H. Graham, Alycia Crall, & Melinda Laituri. (2011). The art and science of multi-scale citizen science support. Ecological Informatics. 6(3-4). 217–227. 87 indexed citations
17.
Newman, Greg, et al.. (2010). User-friendly web mapping: lessons from a citizen science website. International Journal of Geographical Information Systems. 24(12). 1851–1869. 114 indexed citations
18.
Evangelista, Paul, Sunil Kumar, Thomas J. Stohlgren, Alycia Crall, & Greg Newman. (2007). MODELING ABOVEGROUND BIOMASS OF TAMARIX RAMOSISSIMA IN THE ARKANSAS RIVER BASIN OF SOUTHEASTERN COLORADO, USA. Western North American Naturalist. 67(4). 503–509. 13 indexed citations
19.
Graham, J. H., et al.. (2007). A global organism detection and monitoring system for non-native species. Ecological Informatics. 2(2). 177–183. 22 indexed citations
20.
Chong, Geneva W., et al.. (2002). Part 7: Key Invasive Nonnative Plants. 2 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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