Maya Pasgaard

824 citations
32 papers · 634 · h-index 14

Impact in

Papers in

Maya Pasgaard

31 papers receiving 610 citations

Peers

Maya Pasgaard
Comparison fields: 5 of 88
  • Global and Planetary Change 398
  • Ecological Modeling 27
  • General Agricultural and Biological Sciences 48
  • Management, Monitoring, Policy and Law 55
  • Development 15
Replace Christian Hirschi with:
Christian Hirschi Switzerland
Heidi Huber‐Stearns United States
E. Pramova France
T. Kusumanto Indonesia
Tatiana Kluvánková‐Oravská Slovakia
Anna Taylor South Africa
Sylvia Wicander United Kingdom
John Aloysius Zinda United States
H. M. Tuihedur Rahman Canada
Kaitlyn Rathwell Canada
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Citations per field
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Citations per year

Countries citing papers authored by Maya Pasgaard

Since Specialization
Citations

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

Fields of papers citing papers by Maya Pasgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201367
2 201566
3 201760
4 202358
5 201556
6 201750
7 201642
8 202327
9 201225
10 201723
11 202319
12 201919
13 201618
14 201615
15 201913
16 201713
17
Blocked learning in development aid? Reporting success rather than failure in Andhra Pradesh, India
201410
18 20169
19 20238
20 20236

About Maya Pasgaard

Maya Pasgaard is a scholar working on Global and Planetary Change, Sociology and Political Science, Political Science and International Relations, Health, Toxicology and Mutagenesis and Economics and Econometrics, having authored 32 papers that have together received 634 indexed citations. Recurring topics across this work include Conservation, Biodiversity, and Resource Management (14 papers), Land Use and Ecosystem Services (7 papers), Cambodian History and Society (7 papers), Southeast Asian Sociopolitical Studies (5 papers), Urban Green Space and Health (4 papers), Economic and Environmental Valuation (3 papers), Forest Management and Policy (3 papers) and Urban Agriculture and Sustainability (3 papers). The work is most often cited by research in Global and Planetary Change (398 citations), Ecological Modeling (27 citations), General Agricultural and Biological Sciences (48 citations), Management, Monitoring, Policy and Law (55 citations) and Development (15 citations). Maya Pasgaard has collaborated with scholars based in Denmark, South Africa and United Kingdom. Frequent co-authors include Niels Strange, Ole Mertz, Iben Nathan, Neil Dawson, Jens‐Christian Svenning, Laura Vang Rasmussen, Pietro K. Maruyama, Brody Sandel, Bo Dalsgaard and Kristine Engemann. Their work appears in journals such as Geoforum, Global Environmental Change, Cities, Environmental Research Letters and Journal of Political Ecology.

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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