James P. Fry
- Computer Networks and Communications top 1%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Information Systems top 2%
- Management Information Systems top 5%
- Co-authors
- Toby J. TeoreyD. YangEdgar H. SibleyShamkant B. NavatheRobert W. TaylorAlan G. MertenDiane C. P. SmithVincent Y. Lum
- Topics
- Advanced Database Systems and Queries (23 papers)Data Management and Algorithms (13 papers)Semantic Web and Ontologies (9 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
James P. Fry
31 papers receiving 832 citations
Peers
Comparison fields: 5 of 77
- Computer Networks and Communications 825
- Artificial Intelligence 529
- Signal Processing 405
- Information Systems 291
- Management Information Systems 89
Countries citing papers authored by James P. Fry
This map shows the geographic impact of James P. Fry'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 P. Fry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James P. Fry more than expected).
Fields of papers citing papers by James P. Fry
This network shows the impact of papers produced by James P. Fry. 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 P. Fry. The network helps show where James P. Fry may publish in the future.
Co-authorship network of co-authors of James P. Fry
This figure shows the co-authorship network connecting the top 25 collaborators of James P. Fry. A scholar is included among the top collaborators of James P. Fry 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 P. Fry. James P. Fry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | E-R Modeling versus Binary Modeling (Panel) | 1 |
| 2 | 1 | |
| 3 | 5 | |
| 4 | Design of Database Structures | 142 |
| 5 | Systems and Techniques for Research in Physical Database Design at the University of Michigan. | 1 |
| 6 | 27 | |
| 7 | 26 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | Toward the Development of a Data Translation Methodology and Selection of Target Database Structures. | 1 |
| 11 | 12 | |
| 12 | 42 | |
| 13 | 13 | |
| 14 | 18 | |
| 15 | A Comparison of Two Languages for Describing Stored Data, | 1 |
| 16 | Significant Developments in Data Base Management Systems. | 1 |
| 17 | 37 | |
| 18 | 31 | |
| 19 | 11 | |
| 20 | DATA MANAGEMENT SYSTEMS SURVEY | 3 |
About James P. Fry
James P. Fry is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 32 papers that have together received 986 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (23 papers), Data Management and Algorithms (13 papers) and Semantic Web and Ontologies (9 papers). The work is most often cited by research in Signal Processing (405 citations), Computer Networks and Communications (825 citations) and Artificial Intelligence (529 citations). James P. Fry has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Toby J. Teorey, D. Yang, Edgar H. Sibley, Shamkant B. Navathe, Robert W. Taylor, Alan G. Merten, Diane C. P. Smith, Vincent Y. Lum, Mario Schkolnick and S.Y.W. Su. Their work appears in journals such as ACM Computing Surveys, Information Sciences and Transactions of the American Fisheries Society.
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.