Daniel Noesgaard
Impact in
- Ecological Modeling top 5%
- 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 5
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- Research Data Management Practices 4
- Co-authors
- Dmitry Schigel (6 shared papers)Scott Weingart (1 shared paper)J. Mason Heberling (1 shared paper)Joseph T. Miller (1 shared paper)John Wieczorek (1 shared paper)Michelle Price (1 shared paper)Brigitte Baptiste (1 shared paper)Andrew Rodrigues (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)One Health (1 paper)Biodiversity Data Journal (1 paper)Biodiversity Information Science and Standards (2 papers)AGU Fall Meeting Abstracts (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Daniel Noesgaard
7 papers receiving 265 citations
Daniel Noesgaard's Hit Papers
Peers
Comparison fields: 5 of 54
- Ecological Modeling 173
- Nature and Landscape Conservation 64
- Ecology 92
- Ecology, Evolution, Behavior and Systematics 61
- Information Systems and Management 17
Countries citing papers authored by Daniel Noesgaard
This map shows the geographic impact of Daniel Noesgaard'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 Daniel Noesgaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Noesgaard more than expected).
Fields of papers citing papers by Daniel Noesgaard
This network shows the impact of papers produced by Daniel Noesgaard. 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 Daniel Noesgaard. The network helps show where Daniel Noesgaard may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Noesgaard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Data integration enables global biodiversity synthesis Hit paper breakdown → | 2021 | 215 |
| 2 | 2019 | 46 | |
| 3 | 2023 | 12 | |
| 4 | 2018 | 2 | |
| 5 | 2025 | 1 | |
| 6 | 2019 | 1 | |
| 7 | Crediting the reuse and impact of free, FAIR and open biodiversity data through DOI citations and event tracking | 2019 | 1 |
About Daniel Noesgaard
Daniel Noesgaard is a scholar working on Ecological Modeling, Information Systems, Ecology, Infectious Diseases and Nature and Landscape Conservation, having authored 7 papers that have together received 278 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (5 papers), Research Data Management Practices (4 papers), Environmental DNA in Biodiversity Studies (3 papers), Scientific Computing and Data Management (1 paper), Zoonotic diseases and public health (1 paper), Ecology and Vegetation Dynamics Studies (1 paper), Viral Infections and Vectors (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Ecological Modeling (173 citations), Nature and Landscape Conservation (64 citations), Ecology (92 citations), Ecology, Evolution, Behavior and Systematics (61 citations) and Information Systems and Management (17 citations). Daniel Noesgaard has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Dmitry Schigel, Scott Weingart, J. Mason Heberling, Joseph T. Miller, John Wieczorek, Michelle Price, Brigitte Baptiste, Andrew Rodrigues, Donald Hobern and Kyle Copas. Their work appears in journals such as Proceedings of the National Academy of Sciences, One Health, Biodiversity Data Journal, Biodiversity Information Science and Standards and AGU Fall Meeting Abstracts.
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.