Paul R. Alexander
- Molecular Biology
- Artificial Intelligence top 5%
- Information Systems top 10%
- Information Systems and Management top 10%
- Mechanical Engineering
- Co-authors
- Mark A. MusenPatricia L. WhetzelCsongor NyulasTania TudoracheNigam H. ShahNatasha NoyRobert W. CallahanNatalya F. Noy
- Topics
- Semantic Web and Ontologies (6 papers)Biomedical Text Mining and Ontologies (5 papers)Research Data Management Practices (2 papers)
- Partner nations
- United States
In The Last Decade
Paul R. Alexander
8 papers receiving 631 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 467
- Artificial Intelligence 354
- Information Systems 76
- Information Systems and Management 58
- Mechanical Engineering 58
Countries citing papers authored by Paul R. Alexander
This map shows the geographic impact of Paul R. Alexander'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 Paul R. Alexander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul R. Alexander more than expected).
Fields of papers citing papers by Paul R. Alexander
This network shows the impact of papers produced by Paul R. Alexander. 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 Paul R. Alexander. The network helps show where Paul R. Alexander may publish in the future.
Co-authorship network of co-authors of Paul R. Alexander
This figure shows the co-authorship network connecting the top 25 collaborators of Paul R. Alexander. A scholar is included among the top collaborators of Paul R. Alexander 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 Paul R. Alexander. Paul R. Alexander is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | NCBO BioPortal Version 4 | 2 |
| 2 | Crowdsourcing Ontology Verification. | 9 |
| 3 | 9 | |
| 4 | 69 | |
| 5 | 28 | |
| 6 | BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applicationsbreakdown → | 473 |
| 7 | 6 | |
| 8 | 66 |
About Paul R. Alexander
Paul R. Alexander is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems and Management, having authored 8 papers that have together received 662 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Research Data Management Practices (2 papers). The work is most often cited by research in Artificial Intelligence (354 citations), Health Information Management (44 citations) and Information Systems and Management (58 citations). Paul R. Alexander has collaborated with scholars based in United States. Frequent co-authors include Mark A. Musen, Patricia L. Whetzel, Csongor Nyulas, Tania Tudorache, Nigam H. Shah, Natasha Noy, Robert W. Callahan, Natalya F. Noy, Manuel Salvadores and Jonathan Mortensen. Their work appears in journals such as Nucleic Acids Research, Journal of Membrane Science and Semantic Web.
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.