Pia Papadopol

1.6k citations
17 papers · 1.3k indexed · h-index 13
Topics
Climate variability and models (9 papers)Meteorological Phenomena and Simulations (5 papers)Cryospheric studies and observations (3 papers)
Partner nations
CanadaAustraliaChina

In The Last Decade

Pia Papadopol

17 papers receiving 1.3k citations

Peers

Pia Papadopol
Comparison fields: 5 of 68
  • Global and Planetary Change 833
  • Atmospheric Science 603
  • Water Science and Technology 293
  • Ecology 272
  • Nature and Landscape Conservation 260
Replace Phillip A. Pasteris with:
Phillip A. Pasteris United States
Ron F. Hopkinson Canada
Ewa J. Milewska Canada
Art Degaetano United States
Andrew M. Badger United States
Dale P. Kaiser United States
Michele Thornton United States
James Bradbury United States
P. H. Whetton Australia
Kevin Lawrence Canada
Pia Papadopol relative to Phillip A. Pasteris United States Phillip A. Pasteris's profile →
Citations per field
00.5×1.5×2.3×
Phillip A. Pasteris · 1×
Citations per year

Countries citing papers authored by Pia Papadopol

Since Specialization
Citations

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

Fields of papers citing papers by Pia Papadopol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pia Papadopol

This figure shows the co-authorship network connecting the top 25 collaborators of Pia Papadopol. A scholar is included among the top collaborators of Pia Papadopol based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pia Papadopol. Pia Papadopol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 10
2 16
3 2
4 15
5 29
6 28
7 58
8 29
9 137
10 364
11
High-resolution interpolation of climate scenarios for Canada derived from general circulation model simulations
25
12 370
13 32
14 5
15
THE DEVELOPMENT OF PHOTOVOLTAIC RESOURCE MAPS FOR CANADA
14
16 173
17 5

About Pia Papadopol

Pia Papadopol is a scholar working on Global and Planetary Change, Atmospheric Science and Nature and Landscape Conservation, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Climate variability and models (9 papers), Meteorological Phenomena and Simulations (5 papers) and Cryospheric studies and observations (3 papers). The work is most often cited by research in Global and Planetary Change (833 citations), Atmospheric Science (603 citations) and Ecological Modeling (120 citations). Pia Papadopol has collaborated with scholars based in Canada, Australia and China. Frequent co-authors include Daniel W. McKenney, Michael F. Hutchinson, John Pedlar, Ron F. Hopkinson, Ewa J. Milewska, Kevin Lawrence, K Campbell, David T. Price, Lucie A. Vincent and Robert J. Morris. Their work appears in journals such as PLoS ONE, BioScience and Solar Energy.

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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