James Macklin
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
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- Scientific Computing and Data Management
Papers in
-
- Biomedical Text Mining and Ontologies 14
- Genomics and Phylogenetic Studies 5
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- Species Distribution and Climate Change 16
- Co-authors
- Ana K. Rosen Vollmar (1 shared paper)Linda Ford (1 shared paper)Robert A. Morris (7 shared papers)Walter G. Berendsohn (2 shared papers)Vishwas Chavan (1 shared paper)Paul J. Morris (10 shared papers)Bertram Ludäscher (8 shared papers)Wei Guo (1 shared paper)
- Journals
- Database (4 papers)Taxon (3 papers)Proceedings of the American Society for Information Science and Technology (2 papers)BMC Bioinformatics (2 papers)ZooKeys (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
James Macklin
38 papers receiving 356 citations
Peers
Comparison fields: 5 of 62
- Ecological Modeling 173
- Information Systems and Management 52
- Ecology, Evolution, Behavior and Systematics 84
- Information Systems 87
- Nature and Landscape Conservation 37
Countries citing papers authored by James Macklin
This map shows the geographic impact of James Macklin'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 James Macklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Macklin more than expected).
Fields of papers citing papers by James Macklin
This network shows the impact of papers produced by James Macklin. 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 James Macklin. The network helps show where James Macklin may publish in the future.
Co-authors
The 25 scholars most cited alongside James Macklin, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 83 | |
| 2 | 2022 | 55 | |
| 3 | Generic limits of Pyrinae: Insights from nuclear ribosomal DNA sequences | 2012 | 31 |
| 4 | 2010 | 26 | |
| 5 | 2021 | 21 | |
| 6 | 2019 | 18 | |
| 7 | 2016 | 17 | |
| 8 | 2012 | 17 | |
| 9 | 2013 | 16 | |
| 10 | 2009 | 15 | |
| 11 | 2013 | 14 | |
| 12 | 2017 | 10 | |
| 13 | 2015 | 7 | |
| 14 | Filtered Push: Annotating Distributed Data for Quality Control and Fitness for Use Analysis | 2009 | 4 |
| 15 | 2018 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2006 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2006 | 4 | |
| 20 | 2020 | 3 |
About James Macklin
James Macklin is a scholar working on Molecular Biology, Ecological Modeling, Information Systems, Information Systems and Management and Ecology, having authored 45 papers that have together received 387 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (16 papers), Research Data Management Practices (15 papers), Biomedical Text Mining and Ontologies (14 papers), Scientific Computing and Data Management (11 papers), Environmental DNA in Biodiversity Studies (10 papers), Semantic Web and Ontologies (8 papers), Genomics and Phylogenetic Studies (5 papers) and Botany and Plant Ecology Studies (4 papers). The work is most often cited by research in Ecological Modeling (173 citations), Information Systems and Management (52 citations), Ecology, Evolution, Behavior and Systematics (84 citations), Information Systems (87 citations) and Nature and Landscape Conservation (37 citations). James Macklin has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ana K. Rosen Vollmar, Linda Ford, Robert A. Morris, Walter G. Berendsohn, Vishwas Chavan, Paul J. Morris, Bertram Ludäscher, Wei Guo, Qingyan Li and Jianhua Li. Their work appears in journals such as Database, Taxon, Proceedings of the American Society for Information Science and Technology, BMC Bioinformatics and ZooKeys.
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.