Fernando Vélez

727 citations
8 papers · 307 · h-index 4

Impact in

    • Advanced Database Systems and Queries
    • Distributed systems and fault tolerance
    • Advanced Data Storage Technologies
    • Distributed and Parallel Computing Systems
    • Caching and Content Delivery
    • Data Management and Algorithms

Papers in

Fernando Vélez

6 papers receiving 260 citations

Peers

Fernando Vélez
Comparison fields: 5 of 30
  • Computer Networks and Communications 255
  • Signal Processing 83
  • Information Systems 112
  • Artificial Intelligence 122
  • Software 13
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Citations per field
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Citations per year

Countries citing papers authored by Fernando Vélez

Since Specialization
Citations

This map shows the geographic impact of Fernando Vélez'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 Fernando Vélez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Vélez more than expected).

Fields of papers citing papers by Fernando Vélez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Vélez. 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 Fernando Vélez. The network helps show where Fernando Vélez may publish in the future.

Co-authors

The 9 scholars most cited alongside Fernando Vélez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fernando Vélez Line = papers co-authored together Fernando Vélez links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
The object data standard: ODMG 3.0
2000164
2
A study of three alternative workstation server architectures for object-oriented database systems
1990120
3
Lambda: An Entity-Relationship Based Query Language for the Retrieval of Structured Documents
198514
4
Sybil: Supporting Heterogeneous Database Interoperability with Lightweight Alliance.
19975
5
Implementing the O 2 Object Manager: Some Lessons.
19902
6
The Sybil Database Integration and Evolution Environment: An Overview.
19971
7
Three alternative workstation-server architectures
19921
8
Using database applications to compare programming languages
19920

About Fernando Vélez

Fernando Vélez is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Management Information Systems and Signal Processing, having authored 8 papers that have together received 307 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (4 papers), Semantic Web and Ontologies (3 papers), Distributed and Parallel Computing Systems (3 papers), Cloud Computing and Resource Management (2 papers), Data Management and Algorithms (1 paper), Distributed systems and fault tolerance (1 paper), Software System Performance and Reliability (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Computer Networks and Communications (255 citations), Signal Processing (83 citations), Information Systems (112 citations), Artificial Intelligence (122 citations) and Software (13 citations). Fernando Vélez has collaborated with scholars based in Sweden and United States. Frequent co-authors include David J. DeWitt, David Maier, R. G. G. Cattell, Craig Russell, David Jordan, Douglas K. Barry, Michael Novak, R.J.B. King and Roger King. Their work appears in journals such as Morgan Kaufmann Publishers Inc. eBooks and Minds at UW (University of Wisconsin).

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.

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