Alex D. Wade
- Artificial Intelligence
- Information Systems
- Molecular Biology
- Statistics, Probability and Uncertainty
- Statistical and Nonlinear Physics
- Co-authors
- Kuansan WangYizhou SunAntonio GullìKenji TakedaSavas ParastatidisGregory B. QuinnPhilip E. BourneJ. Lynn Fink
- Topics
- Semantic Web and Ontologies (5 papers)Biomedical Text Mining and Ontologies (2 papers)Topic Modeling (2 papers)
- Cited by
- Statistics, Probability and UncertaintyInformation Systems and ManagementHealth Informatics
- Journals
- BMC BioinformaticsComputerPhilosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Alex D. Wade
8 papers receiving 34 citations
Peers
Comparison fields: 5 of 23
- Artificial Intelligence 21
- Information Systems 14
- Molecular Biology 12
- Statistics, Probability and Uncertainty 10
- Statistical and Nonlinear Physics 7
Countries citing papers authored by Alex D. Wade
This map shows the geographic impact of Alex D. Wade'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 Alex D. Wade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex D. Wade more than expected).
Fields of papers citing papers by Alex D. Wade
This network shows the impact of papers produced by Alex D. Wade. 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 Alex D. Wade. The network helps show where Alex D. Wade may publish in the future.
Co-authorship network of co-authors of Alex D. Wade
This figure shows the co-authorship network connecting the top 25 collaborators of Alex D. Wade. A scholar is included among the top collaborators of Alex D. Wade 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 Alex D. Wade. Alex D. Wade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | Research Data Management in the Cloud | 1 |
| 6 | 2 | |
| 7 | 8 | |
| 8 | Tools for Researchers – Microsoft Research and the Scholarly Information Ecosystem | 1 |
| 9 | 1 | |
| 10 | 2 |
About Alex D. Wade
Alex D. Wade is a scholar working on Conservation, Information Systems and Management and Artificial Intelligence, having authored 10 papers that have together received 40 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Biomedical Text Mining and Ontologies (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (10 citations), Information Systems and Management (7 citations) and Health Informatics (1 citation). Alex D. Wade has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Kuansan Wang, Yizhou Sun, Antonio Gullì, Kenji Takeda, Savas Parastatidis, Gregory B. Quinn, Philip E. Bourne, J. Lynn Fink, Leslie Carr and Simeon Warner. Their work appears in journals such as BMC Bioinformatics, Computer and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.
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.