Daniel Barbará

7.1k citations
129 papers · 5.3k · h-index 33

Impact in

    • Distributed systems and fault tolerance
    • Advanced Database Systems and Queries
    • Network Security and Intrusion Detection
    • Caching and Content Delivery
    • Advanced Data Storage Technologies
    • Data Management and Algorithms

Papers in

Daniel Barbará

125 papers receiving 4.8k citations

Peers

Daniel Barbará
Comparison fields: 5 of 135
  • Computer Networks and Communications 3.3k
  • Signal Processing 1.5k
  • Artificial Intelligence 2.3k
  • Information Systems 1.2k
  • Hardware and Architecture 318
Replace Ophir Frieder with:
Ophir Frieder United States
Torsten Suel United States
Wesley W. Chu United States
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Ben Kao Hong Kong
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Giuseppe F. Italiano Italy
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Daniel Barbará relative to Ophir Frieder United States Ophir Frieder's profile →
Citations per field
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Ophir Frieder · 1×
Citations per year

Countries citing papers authored by Daniel Barbará

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Barbará

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Barbará, 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 Daniel Barbará Line = papers co-authored together Daniel Barbará links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985448
2 1994357
3 1992339
4 2008313
5 1999287
6 2002278
7 1990250
8 2002232
9 2001231
10 2001196
11
The New Jersey Data Reduction Report.
1997194
12 2002128
13 2009114
14 2001109
15 2000102
16 200273
17 199471
18 199770
19 200658
20 199657

About Daniel Barbará

Daniel Barbará is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 129 papers that have together received 5.3k indexed citations. Recurring topics across this work include Data Management and Algorithms (21 papers), Distributed systems and fault tolerance (20 papers), Network Security and Intrusion Detection (18 papers), Advanced Database Systems and Queries (17 papers), Data Mining Algorithms and Applications (16 papers), Advanced Data Storage Technologies (11 papers), Anomaly Detection Techniques and Applications (9 papers) and Advanced Malware Detection Techniques (7 papers). The work is most often cited by research in Computer Networks and Communications (3.3k citations), Signal Processing (1.5k citations), Artificial Intelligence (2.3k citations), Information Systems (1.2k citations) and Hardware and Architecture (318 citations). Daniel Barbará has collaborated with scholars based in United States, Brazil and Venezuela. Frequent co-authors include Héctor García-Molina, Sushil Jajodia, Tomasz Imieliński, Júlia Couto, Carlotta Domeniconi, Loulwah AlSumait, Ningning Wu, Rafael Alonso, Yi Li and Ping Chen. Their work appears in journals such as ACM SIGMOD Record, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Computer Systems, IEEE Transactions on Software Engineering and IEEE Transactions on Parallel and Distributed Systems.

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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