Maya Pasgaard

790 citations
32 papers · 586 indexed · h-index 14

Impact in

Papers in

Maya Pasgaard

31 papers receiving 563 citations

Peers

Maya Pasgaard
Comparison fields: 5 of 86
  • Global and Planetary Change 384
  • Ecological Modeling 26
  • General Agricultural and Biological Sciences 48
  • Management, Monitoring, Policy and Law 54
  • Development 15
Replace Christian Hirschi with:
Christian Hirschi Switzerland
Heidi Huber‐Stearns United States
John Aloysius Zinda United States
H. M. Tuihedur Rahman Canada
T. Kusumanto Peru
E. Pramova France
Anna Taylor South Africa
Amy Chang United States
Chiara Bragagnolo Brazil
Gigi Owen United States
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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 201361
2 201560
3 201754
4 201553
5 202352
6 201749
7 201640
8 202325
9 201223
10 201723
11 201618
12 202318
13 201917
14 201913
15 201613
16 201711
17
Blocked learning in development aid? Reporting success rather than failure in Andhra Pradesh, India
201410
18 20168
19 20236
20 20245

About Maya Pasgaard

Maya Pasgaard is a scholar working on Global and Planetary Change, Development, Urban Studies, Sociology and Political Science and Health, Toxicology and Mutagenesis, having authored 32 papers that have together received 586 indexed citations. Recurring topics across this work include Conservation, Biodiversity, and Resource Management (14 papers), Cambodian History and Society (7 papers), Land Use and Ecosystem Services (7 papers), Southeast Asian Sociopolitical Studies (5 papers), Urban Green Space and Health (4 papers), Climate change impacts on agriculture (3 papers), Economic and Environmental Valuation (3 papers) and Forest Management and Policy (3 papers). The work is most often cited by research in Global and Planetary Change (384 citations), Ecological Modeling (26 citations), General Agricultural and Biological Sciences (48 citations), Management, Monitoring, Policy and Law (54 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, Iben Nathan, Ole Mertz, Neil Dawson, Laura Vang Rasmussen, Jens‐Christian Svenning, Pietro K. Maruyama, Bo Dalsgaard, Kristine Engemann and Brody Sandel. Their work appears in journals such as Geoforum, Global Environmental Change, Scientific Reports, Cities and Urban Ecosystems.

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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