Maya Pasgaard

848 citations
30 papers · 657 · h-index 14

Impact in

Papers in

Maya Pasgaard

30 papers receiving 631 citations

Peers

Maya Pasgaard
Comparison fields: 5 of 70
  • Global and Planetary Change 407
  • Management, Monitoring, Policy and Law 66
  • Environmental Engineering 48
  • Statistics, Probability and Uncertainty 30
  • Nature and Landscape Conservation 35
Replace John Aloysius Zinda with:
John Aloysius Zinda United States
Matthew Jurjonas United States
Jenő Zsolt Farkas Hungary
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Asha Sitati United States
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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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201368
2 202368
3 201567
4 201766
5 201557
6 201749
7 201643
8 202332
9 201224
10 201723
11 202321
12 201920
13 201617
14 201615
15 201914
16
Blocked learning in development aid? Reporting success rather than failure in Andhra Pradesh, India
201410
17 201610
18 20239
19 20249
20 20217

About Maya Pasgaard

Maya Pasgaard is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law, Environmental Engineering, Statistics, Probability and Uncertainty and Nature and Landscape Conservation, having authored 30 papers that have together received 657 indexed citations. Recurring topics across this work include Conservation, Biodiversity, and Resource Management (13 papers), Land Use and Ecosystem Services (4 papers), Urban Planning and Landscape Design (4 papers), Forest ecology and management (2 papers), Urban Green Space and Health (2 papers), Remote Sensing and LiDAR Applications (2 papers), Urban Stormwater Management Solutions (2 papers) and scientometrics and bibliometrics research (2 papers). The work is most often cited by research in Global and Planetary Change (407 citations), Management, Monitoring, Policy and Law (66 citations), Environmental Engineering (48 citations), Statistics, Probability and Uncertainty (30 citations) and Nature and Landscape Conservation (35 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 M. Dawson, Jens‐Christian Svenning, Kristine Engemann, Laura Vang Rasmussen, Brody Sandel, Pietro K. Maruyama and Bo Dalsgaard. Their work appears in journals such as Geoforum, Global Environmental Change, Journal of Political Ecology, Asia Pacific Viewpoint and Urban forestry & urban greening.

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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