Francisco J. Ballesteros

641 citations
32 papers · 187 indexed · h-index 7

Francisco J. Ballesteros

28 papers receiving 166 citations

Peers

Francisco J. Ballesteros
Comparison fields: 5 of 36
  • Hardware and Architecture 56
  • Computer Networks and Communications 130
  • Nephrology 21
  • Computer Vision and Pattern Recognition 55
  • Information Systems and Management 18
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Citations per year

Countries citing papers authored by Francisco J. Ballesteros

Since Specialization
Citations

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

Fields of papers citing papers by Francisco J. Ballesteros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisco J. Ballesteros. 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 Francisco J. Ballesteros. The network helps show where Francisco J. Ballesteros may publish in the future.

Co-authorship network

The 19 scholars most cited alongside Francisco J. Ballesteros, 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 Francisco J. Ballesteros Line = papers co-authored together Francisco J. Ballesteros links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20220
2 20192
3 20190
4 20171
5 20171
6 20123
7 20072
8 20077
9 20062
10 200612
11 20054
12 20045
13 200326
14 20032
15 20024
16
An adaptive data object service for pervasie computing environments
20012
17
Using Inferno for an Advanced Operating Systems Course
20011
18 20005
19
TransLib: An Ada 95 object oriented framework for building transactional applications.
20007
20
A Detailed Description of Off++, a Distributed Adaptable Microkernel
19974

About Francisco J. Ballesteros

Francisco J. Ballesteros is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 187 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (11 papers), Context-Aware Activity Recognition Systems (11 papers), Distributed and Parallel Computing Systems (10 papers), IoT and Edge/Fog Computing (8 papers), Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (7 papers), Cloud Computing and Resource Management (5 papers) and Mobile Agent-Based Network Management (4 papers). The work is most often cited by research in Hardware and Architecture (56 citations), Computer Networks and Communications (130 citations) and Nephrology (21 citations). Francisco J. Ballesteros has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Fábio Kon, Roy H. Campbell, M. Dennis Mickunas, Klara Nahrstedt, Sergio Arévalo, Néstor Soto, Fernando Gabler, Antonio J. Reginato, Ricardo Jiménez and Vicente Matellán Olivera. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Software.

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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