Joshua Shinavier
- Artificial Intelligence
- Statistical and Nonlinear Physics
- Information Systems
- Computer Networks and Communications
- Management Science and Operations Research
- Co-authors
- Marko A. RodriguezLi DingDeborah L. McGuinnessTim FininJohn EricksonJames HendlerGeorge FletcherFilip Murlak
- Topics
- Semantic Web and Ontologies (5 papers)Advanced Database Systems and Queries (4 papers)Data Management and Algorithms (3 papers)
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceManagement Science and Operations Research
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Joshua Shinavier
9 papers receiving 98 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 66
- Statistical and Nonlinear Physics 37
- Information Systems 34
- Computer Networks and Communications 28
- Management Science and Operations Research 20
Countries citing papers authored by Joshua Shinavier
This map shows the geographic impact of Joshua Shinavier'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 Joshua Shinavier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Shinavier more than expected).
Fields of papers citing papers by Joshua Shinavier
This network shows the impact of papers produced by Joshua Shinavier. 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 Joshua Shinavier. The network helps show where Joshua Shinavier may publish in the future.
Co-authorship network of co-authors of Joshua Shinavier
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Shinavier. A scholar is included among the top collaborators of Joshua Shinavier 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 Joshua Shinavier. Joshua Shinavier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | Real-time #SemanticWeb in <= 140 chars | 11 |
| 6 | 18 | |
| 7 | 53 | |
| 8 | Ripple: Functional Programs as Linked Data | 2 |
| 9 | Functional Programs as Linked Data | 3 |
About Joshua Shinavier
Joshua Shinavier is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 9 papers that have together received 109 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Advanced Database Systems and Queries (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (37 citations), Artificial Intelligence (66 citations) and Management Science and Operations Research (20 citations). Joshua Shinavier has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Marko A. Rodriguez, Li Ding, Deborah L. McGuinness, Tim Finin, John Erickson, James Hendler, George Fletcher, Filip Murlak, Sławek Staworko and Angela Bonifati. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and IEEE Intelligent Systems.
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.