Fernando Vélez

728 citations
9 papers · 546 · h-index 5

Impact in

Papers in

    • Advanced Database Systems and Queries 5
    • Distributed and Parallel Computing Systems 3
    • Distributed systems and fault tolerance 2
    • Software System Performance and Reliability 1
    • Semantic Web and Ontologies 3
    • AI-based Problem Solving and Planning 1

Fernando Vélez

7 papers receiving 474 citations

Peers

Fernando Vélez
Comparison fields: 5 of 34
  • Computer Networks and Communications 464
  • Signal Processing 181
  • Artificial Intelligence 254
  • Information Systems 168
  • Software 20
Replace Christophe Lécluse with:
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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 14 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

9 of 9 papers shown
#Work
1
The object data standard: ODMG 3.0
2000260
2
A study of three alternative workstation server architectures for object-oriented database systems
1990145
3 1988114
4
Lambda: An Entity-Relationship Based Query Language for the Retrieval of Structured Documents
198517
5
Sybil: Supporting Heterogeneous Database Interoperability with Lightweight Alliance.
19975
6
Implementing the O 2 Object Manager: Some Lessons.
19903
7
Three alternative workstation-server architectures
19921
8
The Sybil Database Integration and Evolution Environment: An Overview.
19971
9
Using database applications to compare programming languages
19920

About Fernando Vélez

Fernando Vélez is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Management Information Systems and Signal Processing, having authored 9 papers that have together received 546 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Distributed and Parallel Computing Systems (3 papers), Semantic Web and Ontologies (3 papers), Cloud Computing and Resource Management (2 papers), Distributed systems and fault tolerance (2 papers), Software System Performance and Reliability (1 paper), Data Management and Algorithms (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Computer Networks and Communications (464 citations), Signal Processing (181 citations), Artificial Intelligence (254 citations), Information Systems (168 citations) and Software (20 citations). Fernando Vélez has collaborated with scholars based in United States and Sweden. Frequent co-authors include David J. DeWitt, David Maier, R. G. G. Cattell, Douglas K. Barry, David Jordan, Craig Russell, Véronique Benzaken, Philippe Richard, Claude Delobel and François Bancilhon. Their work appears in journals such as Lecture notes in computer science, 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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