José A. Blakeley
- Computer Networks and Communications top 1%
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Management Science and Operations Research top 5%
- Co-authors
- Frank Wm. TompaPer-Åke LarsonDavid L. WellsWilliam J. McKennaGoetz GraefeM. TAMER ÖZSUC.W. ThompsonMário A. Nascimento
- Topics
- Advanced Database Systems and Queries (25 papers)Distributed systems and fault tolerance (14 papers)Data Management and Algorithms (14 papers)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
José A. Blakeley
36 papers receiving 903 citations
Peers
Comparison fields: 5 of 60
- Computer Networks and Communications 843
- Signal Processing 451
- Artificial Intelligence 376
- Information Systems 296
- Management Science and Operations Research 97
Countries citing papers authored by José A. Blakeley
This map shows the geographic impact of José A. Blakeley'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 José A. Blakeley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José A. Blakeley more than expected).
Fields of papers citing papers by José A. Blakeley
This network shows the impact of papers produced by José A. Blakeley. 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 José A. Blakeley. The network helps show where José A. Blakeley may publish in the future.
Co-authorship network of co-authors of José A. Blakeley
This figure shows the co-authorship network connecting the top 25 collaborators of José A. Blakeley. A scholar is included among the top collaborators of José A. Blakeley 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 José A. Blakeley. José A. Blakeley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | An Array Library for Microsoft SQL Server with Astrophysical Applications | 2 |
| 6 | Gray's laws: database-centric computing in science. | 15 |
| 7 | Data Management for High-Throughput Genomics. | 15 |
| 8 | 12 | |
| 9 | 37 | |
| 10 | 6 | |
| 11 | COMPASS: A Concept-based Web Search Engine for HTML, XML, and Deep Web Data | 1 |
| 12 | 7 | |
| 13 | Proceedings of the Thirtieth international conference on Very large data bases - Volume 30 | 70 |
| 14 | 27 | |
| 15 | 64 | |
| 16 | 1 | |
| 17 | Distribution and Persistence in the Open Object-Oriented Database System. | 2 |
| 18 | 55 | |
| 19 | 29 | |
| 20 | 184 |
About José A. Blakeley
José A. Blakeley is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (25 papers), Distributed systems and fault tolerance (14 papers) and Data Management and Algorithms (14 papers). The work is most often cited by research in Signal Processing (451 citations), Computer Networks and Communications (843 citations) and Information Systems (296 citations). José A. Blakeley has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Frank Wm. Tompa, Per-Åke Larson, David L. Wells, William J. McKenna, Goetz Graefe, M. TAMER ÖZSU, C.W. Thompson, Mário A. Nascimento, Donald Kossmann and K. Bernhard Schiefer. Their work appears in journals such as ACM Computing Surveys, Computer and Proceedings of the VLDB Endowment.
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.