Alison Singer

15 papers receiving 1.0k citations

Alison Singer's Hit Papers

Tools and methods in participatory modeling: Selecting the right tool for the job 2018 · 355 citations
3550+2+5Years since publication100200300

Peers

Alison Singer
Comparison fields: 5 of 134
  • Management Science and Operations Research 260
  • Global and Planetary Change 365
  • Ecological Modeling 64
  • Management, Monitoring, Policy and Law 120
  • Artificial Intelligence 184
Replace Natalie A. Jones with:
Natalie A. Jones Australia
Steven Gray United States
P. van Bommel France
Patrick D’Aquino France
Karen E. Jenni United States
Nagesh Kolagani India
Gunnar Dreßler Germany
Guy Trébuil France
Laura Schmitt Olabisi United States
Nick M. Gotts United Kingdom
Alison Singer relative to Natalie A. Jones Australia Natalie A. Jones's profile →
Citations per field
00.5×1.5×1.8×
Natalie A. Jones · 1×
Citations per year

Countries citing papers authored by Alison Singer

Since Specialization
Citations

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

Fields of papers citing papers by Alison Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alison Singer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alison Singer Line = papers co-authored together Alison Singer links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Tools and methods in participatory modeling: Selecting the right tool for the job
Hit paper breakdown →
2018355
2 2020107
3 201793
4 202088
5 201679
6 201878
7 202158
8 202151
9 201935
10 201435
11 201724
12 201922
13 202022
14 201714
15 20231

About Alison Singer

Alison Singer is a scholar working on Management Science and Operations Research, Management, Monitoring, Policy and Law, Ecological Modeling, Global and Planetary Change and Sociology and Political Science, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Systems and Decision Making (6 papers), Cognitive Science and Mapping (5 papers), Sustainability and Climate Change Governance (4 papers), Species Distribution and Climate Change (2 papers), Environmental Education and Sustainability (2 papers), Innovation, Sustainability, Human-Machine Systems (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Innovative Teaching Methods (1 paper). The work is most often cited by research in Management Science and Operations Research (260 citations), Global and Planetary Change (365 citations), Ecological Modeling (64 citations), Management, Monitoring, Policy and Law (120 citations) and Artificial Intelligence (184 citations). Alison Singer has collaborated with scholars based in United States, Denmark and Australia. Frequent co-authors include Steven A. Gray, Payam Aminpour, Joshua E. Introne, Antonie J.M. Jetter, Georgina M. Montgomery, Rebecca Jordan, Robert Arlinghaus, Eleanor Jane Sterling, Laura Schmitt Olabisi and Todd K. BenDor. Their work appears in journals such as Environmental Modelling & Software, Sustainability, Biological Conservation, Frontiers in Ecology and the Environment and Ecological Applications.

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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