Lars Dalby
Impact in
- Ecological Modeling top 2%
- Species Distribution and Climate Change
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- Ecology and Vegetation Dynamics Studies
Papers in
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- Species Distribution and Climate Change 11
- Ecology 19
- Wildlife Ecology and Conservation 10
- Avian ecology and behavior 6
- Animal Ecology and Behavior Studies 6
- Rangeland and Wildlife Management 4
- Co-authors
- Camilla Fløjgaard (12 shared papers)Rasmus Ejrnæs (10 shared papers)Ane Kirstine Brunbjerg (10 shared papers)Jens‐Christian Svenning (6 shared papers)Anthony David Fox (11 shared papers)Hans Henrik Bruun (7 shared papers)Tobias Guldberg Frøslev (5 shared papers)Toke T. Høye (4 shared papers)
In The Last Decade
Lars Dalby
28 papers receiving 1.1k citations
Lars Dalby's Hit Papers
Peers
Comparison fields: 5 of 108
- Ecological Modeling 344
- Nature and Landscape Conservation 319
- Ecology 643
- Ecology, Evolution, Behavior and Systematics 231
- Global and Planetary Change 177
Countries citing papers authored by Lars Dalby
This map shows the geographic impact of Lars Dalby'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 Lars Dalby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Dalby more than expected).
Fields of papers citing papers by Lars Dalby
This network shows the impact of papers produced by Lars Dalby. 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 Lars Dalby. The network helps show where Lars Dalby may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Dalby, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Vascular plant species richness and bioindication predict multi‐taxon species richness Hit paper breakdown → | 2018 | 450 |
| 2 | 2014 | 116 | |
| 3 | 2013 | 90 | |
| 4 | 2017 | 52 | |
| 5 | 2014 | 51 | |
| 6 | 2014 | 50 | |
| 7 | 2012 | 41 | |
| 8 | 2019 | 37 | |
| 9 | 2015 | 34 | |
| 10 | 2013 | 27 | |
| 11 | 2020 | 25 | |
| 12 | 2016 | 23 | |
| 13 | 2015 | 22 | |
| 14 | 2017 | 19 | |
| 15 | 2020 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2014 | 14 | |
| 18 | 2013 | 10 | |
| 19 | 2021 | 6 | |
| 20 | 2022 | 5 |
About Lars Dalby
Lars Dalby is a scholar working on Ecological Modeling, Ecology, Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Insect Science, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (11 papers), Wildlife Ecology and Conservation (10 papers), Ecology and Vegetation Dynamics Studies (8 papers), Avian ecology and behavior (6 papers), Animal Ecology and Behavior Studies (6 papers), Plant and animal studies (4 papers), Rangeland and Wildlife Management (4 papers) and Animal Behavior and Reproduction (3 papers). The work is most often cited by research in Ecological Modeling (344 citations), Nature and Landscape Conservation (319 citations), Ecology (643 citations), Ecology, Evolution, Behavior and Systematics (231 citations) and Global and Planetary Change (177 citations). Lars Dalby has collaborated with scholars based in Denmark, France and Estonia. Frequent co-authors include Camilla Fløjgaard, Rasmus Ejrnæs, Ane Kirstine Brunbjerg, Jens‐Christian Svenning, Anthony David Fox, Hans Henrik Bruun, Tobias Guldberg Frøslev, Toke T. Høye, Thomas Læssøe and Kåre Fog. Their work appears in journals such as Ornis Fennica, Ecology and Evolution, Oikos, Ibis and Journal of Applied 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.