Maria Hällfors

60 total papers · 1.2k total citations
22 papers, 511 citations indexed

About

Maria Hällfors is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Maria Hällfors has authored 22 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecological Modeling, 11 papers in Nature and Landscape Conservation and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Maria Hällfors's work include Species Distribution and Climate Change (14 papers), Ecology and Vegetation Dynamics Studies (9 papers) and Plant and animal studies (9 papers). Maria Hällfors is often cited by papers focused on Species Distribution and Climate Change (14 papers), Ecology and Vegetation Dynamics Studies (9 papers) and Plant and animal studies (9 papers). Maria Hällfors collaborates with scholars based in Finland, Sweden and United States. Maria Hällfors's co-authors include Marko Hyvärinen, Jessica J. Hellmann, Leif Schulman, Marjo Saastamoinen, Sami Aikio, Grace C. Wu, Jishan Liao, Ralph Grundel, Jason D. K. Dzurisin and Aleksi Lehikoinen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Maria Hällfors

21 papers receiving 499 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maria Hällfors 332 215 209 184 95 22 511
Narkis S. Morales 304 0.9× 223 1.0× 171 0.8× 118 0.6× 127 1.3× 18 490
André Felipe Alves de Andrade 330 1.0× 265 1.2× 222 1.1× 166 0.9× 113 1.2× 22 581
Nisha Owen 266 0.8× 225 1.0× 211 1.0× 140 0.8× 175 1.8× 23 532
Bhoj Kumar Acharya 260 0.8× 214 1.0× 349 1.7× 219 1.2× 109 1.1× 33 584
Patricia Illoldi‐Rangel 333 1.0× 310 1.4× 218 1.0× 115 0.6× 155 1.6× 17 615
Matthias Grenié 231 0.7× 277 1.3× 316 1.5× 204 1.1× 105 1.1× 21 573
Ferran Páramo 315 0.9× 151 0.7× 307 1.5× 333 1.8× 74 0.8× 16 533
Núria Galiana 183 0.6× 310 1.4× 247 1.2× 288 1.6× 100 1.1× 25 609
Maria Bobrowski 283 0.9× 214 1.0× 281 1.3× 114 0.6× 177 1.9× 15 576
José L. Martín 181 0.5× 190 0.9× 151 0.7× 166 0.9× 130 1.4× 16 526

Countries citing papers authored by Maria Hällfors

Since Specialization
Citations

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

Fields of papers citing papers by Maria Hällfors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Hällfors

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Hällfors. A scholar is included among the top collaborators of Maria Hällfors 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 Maria Hällfors. Maria Hällfors is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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