Jesús Bisbal

778 total citations
27 papers, 418 citations indexed

About

Jesús Bisbal is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Jesús Bisbal has authored 27 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 13 papers in Information Systems and 11 papers in Artificial Intelligence. Recurrent topics in Jesús Bisbal's work include Advanced Database Systems and Queries (9 papers), Software System Performance and Reliability (8 papers) and Semantic Web and Ontologies (8 papers). Jesús Bisbal is often cited by papers focused on Advanced Database Systems and Queries (9 papers), Software System Performance and Reliability (8 papers) and Semantic Web and Ontologies (8 papers). Jesús Bisbal collaborates with scholars based in Spain, Ireland and United Kingdom. Jesús Bisbal's co-authors include Jane Grimson, Deirdre Lawless, Bing Wu, Damon Berry, Vincent Wade, Declan O’Sullivan, Sheng Yu, Betty H. C. Cheng, Vincent Wade and Gerhard Engelbrecht and has published in prestigious journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, IEEE Software and Journal of Biomedical Informatics.

In The Last Decade

Jesús Bisbal

27 papers receiving 354 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jesús Bisbal Spain 10 249 172 141 99 52 27 418
Carlos Pedrinaci United Kingdom 15 528 2.1× 198 1.2× 426 3.0× 223 2.3× 66 1.3× 54 710
Jeri Edwards United States 8 281 1.1× 253 1.5× 186 1.3× 95 1.0× 22 0.4× 10 527
Jim Steel Australia 12 277 1.1× 103 0.6× 282 2.0× 56 0.6× 21 0.4× 29 538
Karthik Gomadam United States 12 625 2.5× 244 1.4× 457 3.2× 241 2.4× 66 1.3× 33 767
Dirk Slama 3 407 1.6× 181 1.1× 211 1.5× 268 2.7× 31 0.6× 4 562
Renata S. S. Guizzardi Brazil 11 280 1.1× 73 0.4× 291 2.1× 201 2.0× 31 0.6× 40 483
José María Álvarez-Rodríguez Spain 11 146 0.6× 40 0.2× 157 1.1× 69 0.7× 67 1.3× 67 391
Radziah Mohamad Malaysia 10 227 0.9× 101 0.6× 113 0.8× 39 0.4× 24 0.5× 53 342
Olivier Corby France 8 136 0.5× 56 0.3× 268 1.9× 84 0.8× 35 0.7× 36 415
Daniel Oberle Germany 15 400 1.6× 163 0.9× 401 2.8× 165 1.7× 41 0.8× 39 572

Countries citing papers authored by Jesús Bisbal

Since Specialization
Citations

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

Fields of papers citing papers by Jesús Bisbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesús Bisbal

This figure shows the co-authorship network connecting the top 25 collaborators of Jesús Bisbal. A scholar is included among the top collaborators of Jesús Bisbal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jesús Bisbal. Jesús Bisbal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Martínez‐Fernández, Silverio, Xavier Franch, & Jesús Bisbal. (2015). Mercury: Using the QuPreSS reference model to evaluate predictive services. Science of Computer Programming. 134. 61–74. 1 indexed citations
2.
Engelbrecht, Gerhard, et al.. (2012). A Service-Oriented Distributed Semantic Mediator: Integrating Multiscale Biomedical Information. IEEE Transactions on Information Technology in Biomedicine. 16(6). 1296–1303. 4 indexed citations
3.
Yu, Sheng, Damon Berry, & Jesús Bisbal. (2011). Clinical coverage of an archetype repository over SNOMED-CT. Journal of Biomedical Informatics. 45(3). 408–418. 9 indexed citations
4.
Burger, Albert, Bernard de Bono, Peter Hunter, et al.. (2011). Integrating volumetric biomedical data in the virtual physiological human. Research Explorer (The University of Manchester). 19–26. 1 indexed citations
5.
Yu, Sheng, Damon Berry, & Jesús Bisbal. (2011). Performance analysis and assessment of a tf-idf based archetype-SNOMED-CT binding algorithm. ARROW@Dublin Institute of Technology (Dublin Institute of Technology). 1–6. 4 indexed citations
6.
Lawford, Patricia V., Andrew Narracott, Keith McCormack, et al.. (2010). Virtual physiological human: training challenges. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 368(1921). 2841–2851. 9 indexed citations
7.
Bisbal, Jesús, Gerhard Engelbrecht, & Alejandro F. Frangi. (2010). Archetype-based semantic mediation: Incremental provisioning of data services. Research Explorer (The University of Manchester). 132–137. 1 indexed citations
8.
Engelbrecht, Gerhard, Jesús Bisbal, Siegfried Benkner, & Alejandro F. Frangi. (2010). Towards negotiable SLA-based QoS support for biomedical data services. Research Explorer (The University of Manchester). 129. 259–265. 1 indexed citations
9.
Yu, Sheng, Damon Berry, & Jesús Bisbal. (2010). An Investigation of Semantic Links to Archetypes in an External Clinical Terminology through the Construction of Terminological "Shadows". Arrow - TU Dublin (Technological University Dublin). 12 indexed citations
10.
Berry, Damon & Jesús Bisbal. (2009). An Analysis Framework for Electronic Health Record Systems. Methods of Information in Medicine. 50(2). 180–189. 20 indexed citations
11.
Bisbal, Jesús & Damon Berry. (2009). ARCHETYPE ALIGNMENT - A Two-level Driven Semantic Matching Approach to Interoperability in the Clinical Domain. Arrow - TU Dublin (Technological University Dublin). 216–221. 6 indexed citations
12.
Baeza‐Yates, Ricardo, et al.. (2009). A model for fast web mining prototyping. 114–123. 2 indexed citations
13.
Bisbal, Jesús, et al.. (2007). A Survey of Research into Legacy System Migration. 19 indexed citations
14.
Bisbal, Jesús & Betty H. C. Cheng. (2004). Resource-based approach to feature interaction in adaptive software. 23–27. 9 indexed citations
15.
Wu, Bing, Deirdre Lawless, Jesús Bisbal, et al.. (2002). The Butterfly Methodology: a gateway-free approach for migrating legacy information systems. 200–205. 39 indexed citations
16.
Bisbal, Jesús, Deirdre Lawless, Bing Wu, et al.. (2002). An overview of legacy information system migration. 529–530. 20 indexed citations
17.
Bisbal, Jesús & Jane Grimson. (2002). Consistent database sampling as a database prototyping approach. Journal of Software Maintenance and Evolution Research and Practice. 14(6). 447–459. 3 indexed citations
18.
Bisbal, Jesús & Jane Grimson. (2001). Database sampling with functional dependencies. Information and Software Technology. 43(10). 607–615. 6 indexed citations
19.
Bisbal, Jesús & Jane Grimson. (2000). Generalising the Consistent Database Sampling Process. Community Health Studies. 8(1). 62–74. 4 indexed citations
20.
Bisbal, Jesús. (2000). Database Sampling to Support the Development of Data-Intensive Applications. Trinity's Access to Research Output (TARA) (Trinity College Dublin). 2 indexed citations

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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