Sara de Wit

19 papers receiving 403 citations

Peers

Sara de Wit
Comparison fields: 5 of 98
  • Global and Planetary Change 189
  • Management, Monitoring, Policy and Law 55
  • Sociology and Political Science 199
  • Ecology, Evolution, Behavior and Systematics 80
  • Ecological Modeling 11
Replace Emmanuel M. Luna with:
Emmanuel M. Luna Philippines
John Furlow United States
Nathan P. Kettle United States
Anuszka Mosurska United Kingdom
Lydia Pedoth Italy
Simon McCarthy United Kingdom
John Tribbia United States
Carmen E. Elrick‐Barr Australia
Magda Concepción Morales Barrera Canada
Emmanuel Tolulope Busayo South Africa
Sara de Wit relative to Emmanuel M. Luna Philippines Emmanuel M. Luna's profile →
Citations per field
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Emmanuel M. Luna · 1×
Citations per year

Countries citing papers authored by Sara de Wit

Since Specialization
Citations

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

Fields of papers citing papers by Sara de Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara de Wit. 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 Sara de Wit. The network helps show where Sara de Wit may publish in the future.

Co-authors

The 25 scholars most cited alongside Sara de Wit, 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 Sara de Wit Line = papers co-authored together Sara de Wit links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2019130
2 202064
3 201363
4 202125
5 202124
6 201518
7 201816
8 202115
9 201814
10 202413
11 202410
12 20218
13 20158
14 20185
15 20144
16 20204
17
Global Warning. An ethnography of the encounter between global and local climate-change discourses in the Bamenda Grassfields, Cameroon
20154
18 20192
19 20251

About Sara de Wit

Sara de Wit is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change, Sociology and Political Science, Demography and Ecology, Evolution, Behavior and Systematics, having authored 19 papers that have together received 428 indexed citations. Recurring topics across this work include Climate Change, Adaptation, Migration (7 papers), Sustainability and Climate Change Governance (6 papers), Rangeland Management and Livestock Ecology (5 papers), Tourism, Volunteerism, and Development (2 papers), Indigenous Studies and Ecology (2 papers), Climate Change Communication and Perception (2 papers), Climate change impacts on agriculture (2 papers) and Water-Energy-Food Nexus Studies (1 paper). The work is most often cited by research in Global and Planetary Change (189 citations), Management, Monitoring, Policy and Law (55 citations), Sociology and Political Science (199 citations), Ecology, Evolution, Behavior and Systematics (80 citations) and Ecological Modeling (11 citations). Sara de Wit has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Zinta A. Zommers, Anjal Prakash, Kerry W. Bowman, Farid Ahmad, Johanna Nalau, Lisa Dilling, L. Andrew Bollinger, Lóránt Antal Tavasszy, Maaike Snelder and B.A. Wols. Their work appears in journals such as Wiley Interdisciplinary Reviews Climate Change, International Journal of Disaster Risk Reduction, Climatic Change, npj Clean Water and BMJ Global Health.

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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