Jorge B. Bocca
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Information Systems top 5%
- Data Mining Algorithms and Applications
Papers in
-
- Advanced Database Systems and Queries 5
- Distributed and Parallel Computing Systems 3
-
- Semantic Web and Ontologies 5
- Logic, Reasoning, and Knowledge 2
- Intelligent Tutoring Systems and Adaptive Learning 1
- Co-authors
- Matthias Jarke (1 shared paper)Carlo Zaniolo (1 shared paper)Manuel Dahmen (1 shared paper)Pamela Pearson (1 shared paper)Johann Christoph Freytag (1 shared paper)Peter J. Bailey (1 shared paper)Michael Freeston (2 shared papers)Peter Gray (1 shared paper)
- Journals
- ACM SIGMOD Record (2 papers)
In The Last Decade
Jorge B. Bocca
9 papers receiving 390 citations
Peers
Comparison fields: 5 of 81
- Signal Processing 101
- Information Systems 187
- Artificial Intelligence 199
- Computer Networks and Communications 136
- Computational Theory and Mathematics 82
Countries citing papers authored by Jorge B. Bocca
This map shows the geographic impact of Jorge B. Bocca'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 Jorge B. Bocca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge B. Bocca more than expected).
Fields of papers citing papers by Jorge B. Bocca
This network shows the impact of papers produced by Jorge B. Bocca. 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 Jorge B. Bocca. The network helps show where Jorge B. Bocca may publish in the future.
Co-authors
The 16 scholars most cited alongside Jorge B. Bocca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Proceedings of the 20th International Conference on Very Large Data Bases | 1994 | 342 |
| 2 | EDUCE: A Marriage of Convenience: Prolog and a Relational DBMS. | 1986 | 25 |
| 3 | 1986 | 23 | |
| 4 | 1986 | 11 | |
| 5 | The Proteus Distributed Database System. | 1984 | 7 |
| 6 | On Prolog DBMS Connections: A Step Forward from Educe. | 1988 | 4 |
| 7 | KB-PROLOG, a PROLOG for very large knowledge bases | 1990 | 3 |
| 8 | EDUCE * —a logic programming system for implementing KBMS's | 1990 | 3 |
| 9 | 1989 | 2 | |
| 10 | Aspects of knowledge base management system research at ECRC | 1990 | 1 |
| 11 | Logic Languages and Relational DBMS's - The Point of Convergence. | 1987 | 1 |
| 12 | 2002 | 0 |
About Jorge B. Bocca
Jorge B. Bocca is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Management and Computer Science Applications, having authored 12 papers that have together received 422 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Semantic Web and Ontologies (5 papers), Distributed and Parallel Computing Systems (3 papers), Data Management and Algorithms (2 papers), Logic, Reasoning, and Knowledge (2 papers), Scientific Computing and Data Management (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Open Education and E-Learning (1 paper). The work is most often cited by research in Signal Processing (101 citations), Information Systems (187 citations), Artificial Intelligence (199 citations), Computer Networks and Communications (136 citations) and Computational Theory and Mathematics (82 citations). Frequent co-authors include Matthias Jarke, Carlo Zaniolo, Manuel Dahmen, Pamela Pearson, Johann Christoph Freytag, Peter J. Bailey, Michael Freeston, Peter Gray, Alan M. Smith and N. J. Fiddian. Their work appears in journals such as ACM SIGMOD Record.
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.