James Macklin

3.2k total citations
44 papers, 372 citations indexed

About

James Macklin is a scholar working on Molecular Biology, Ecological Modeling and Information Systems. According to data from OpenAlex, James Macklin has authored 44 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Ecological Modeling and 14 papers in Information Systems. Recurrent topics in James Macklin's work include Species Distribution and Climate Change (15 papers), Biomedical Text Mining and Ontologies (14 papers) and Research Data Management Practices (14 papers). James Macklin is often cited by papers focused on Species Distribution and Climate Change (15 papers), Biomedical Text Mining and Ontologies (14 papers) and Research Data Management Practices (14 papers). James Macklin collaborates with scholars based in Canada, United States and Germany. James Macklin's co-authors include Ana K. Rosen Vollmar, Linda Ford, Walter G. Berendsohn, Robert E. Morris, Vishwas Chavan, Paul J. Morris, Bertram Ludäscher, Qingyan Li, Wei Guo and Hong Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BioScience.

In The Last Decade

James Macklin

35 papers receiving 341 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James Macklin Canada 11 180 110 92 92 87 44 372
Laurence Livermore United Kingdom 12 278 1.5× 95 0.9× 135 1.5× 47 0.5× 102 1.2× 35 455
Gregor Hagedorn Germany 16 177 1.0× 230 2.1× 152 1.7× 337 3.7× 115 1.3× 41 695
Elspeth Haston United Kingdom 12 139 0.8× 198 1.8× 243 2.6× 178 1.9× 54 0.6× 27 507
Roger Hyam United Kingdom 9 93 0.5× 196 1.8× 128 1.4× 118 1.3× 30 0.3× 18 382
Arthur D. Chapman Australia 10 220 1.2× 90 0.8× 161 1.8× 123 1.3× 40 0.5× 24 483
Greg Riccardi United States 7 179 1.0× 37 0.3× 68 0.7× 31 0.3× 50 0.6× 12 295
Viktor Senderov Bulgaria 8 90 0.5× 82 0.7× 56 0.6× 15 0.2× 48 0.6× 20 254
Miquel A. Senar Spain 10 56 0.3× 176 1.6× 40 0.4× 50 0.5× 81 0.9× 43 470
Karen Cranston United States 12 63 0.3× 257 2.3× 138 1.5× 104 1.1× 60 0.7× 20 532
Edward Gilbert United States 8 91 0.5× 46 0.4× 52 0.6× 36 0.4× 41 0.5× 25 204

Countries citing papers authored by James Macklin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of James Macklin

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

All Works

20 of 20 papers shown
1.
Macklin, James, et al.. (2023). I Know Something You Don’t Know: The annotation saga continues…. Biodiversity Information Science and Standards. 7.
3.
Cui, Hong, Bruce A. Ford, Julian R. Starr, et al.. (2021). Author-Driven Computable Data and Ontology Production for Taxonomists. Biodiversity Information Science and Standards. 5. 1 indexed citations
4.
Warwick, Suzanne I., et al.. (2021). Update on the Brassicaceae species checklist. ZooKeys. 9. e58773–e58773. 20 indexed citations
5.
Bölling, Christian, et al.. (2021). Robust Integration of Biodiversity Data by Process- and State-based Representation of Object Histories and Modular Application Architecture. Biodiversity Information Science and Standards. 5. 2 indexed citations
6.
Cui, Hong, Bruce A. Ford, Hsin‐Liang Chen, et al.. (2020). Measurement Recorder: developing a useful tool for making species descriptions that produces computable phenotypes. Database. 2020. 2 indexed citations
7.
Buttigieg, Pier Luigi, Felix Janßen, James Macklin, & Kathleen Pitz. (2019). The Global Omics Observatory Network: Shaping standards for long-term molecular observation. Biodiversity Information Science and Standards. 3. 2 indexed citations
8.
Sachs, Joel L., et al.. (2019). Using Wikidata and Metaphactory to Underpin an Integrated Flora of Canada. Biodiversity Information Science and Standards. 3.
9.
Macklin, James, Falko Glöckler, Mikko Heikkinen, et al.. (2018). General introduction to DINA. Biodiversity Information Science and Standards. 2. e25646–e25646. 1 indexed citations
10.
Cui, Hong, James Macklin, Joel L. Sachs, et al.. (2018). Incentivising use of structured language in biological descriptions: Author-driven phenotype data and ontology production. Biodiversity Data Journal. 6(6). e29616–e29616. 3 indexed citations
11.
Morris, Paul J., James Hanken, David Lowery, et al.. (2017). Fitness-for-Use-Framework-aware Data Quality workflows in Kurator. Biodiversity Information Science and Standards. 1. e20379–e20379. 1 indexed citations
12.
Cui, Hong, Dongfang Xu, Martín J. Ramiréz, et al.. (2016). Introducing Explorer of Taxon Concepts with a case study on spider measurement matrix building. BMC Bioinformatics. 17(1). 471–471. 16 indexed citations
13.
Macklin, James, et al.. (2015). OTO: Ontology Term Organizer. BMC Bioinformatics. 16(1). 47–47. 7 indexed citations
14.
Morris, Robert E., Lei Dou, James Hanken, et al.. (2013). Semantic Annotation of Mutable Data. PLoS ONE. 8(11). e76093–e76093. 14 indexed citations
15.
Walls, Ramona, Hong Cui, James Macklin, et al.. (2012). Mapping of glossary terms from the Flora of North America to the Plant Ontology enhances both resources..
16.
Li, Qingyan, Wei Guo, Wenbo Liao, James Macklin, & Jianhua Li. (2012). Generic limits of Pyrinae: Insights from nuclear ribosomal DNA sequences. Botanical studies. 53(1). 151–164. 31 indexed citations
17.
Morris, Peter J., et al.. (2009). Filtered Push: Annotating Distributed Data for Quality Control and Fitness for Use Analysis. AGUFM. 2009. 4 indexed citations
18.
Wang, Zhimin, et al.. (2009). Filtered-Push: A Map-Reduce Platform for Collaborative Taxonomic Data Management. 731–735. 15 indexed citations
19.
Cui, Hong, et al.. (2009). Application of semantic annotation for quality insurance in biosystematics publishing. Proceedings of the American Society for Information Science and Technology. 46(1). 1–6. 1 indexed citations
20.
Lendemer, James C. & James Macklin. (2006). Contributions to the lichen flora of Pennsylvania: A preliminary checklist of the lichens of Worlds End State Park.. Opuscula philolichenum.. 3. 53–64. 4 indexed citations

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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