Nicolás Cardozo

795 total citations
59 papers, 511 citations indexed

About

Nicolás Cardozo is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Nicolás Cardozo has authored 59 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 34 papers in Information Systems and 23 papers in Computer Networks and Communications. Recurrent topics in Nicolás Cardozo's work include Advanced Software Engineering Methodologies (35 papers), Service-Oriented Architecture and Web Services (23 papers) and Context-Aware Activity Recognition Systems (17 papers). Nicolás Cardozo is often cited by papers focused on Advanced Software Engineering Methodologies (35 papers), Service-Oriented Architecture and Web Services (23 papers) and Context-Aware Activity Recognition Systems (17 papers). Nicolás Cardozo collaborates with scholars based in Colombia, Ireland and Belgium. Nicolás Cardozo's co-authors include Siobhán Clarke, Kim Mens, Nanxi Chen, Sebastián González, Theo D’Hondt, Ivana Dusparić, Jorge Duitama, Daniel Tello, Zoran Budimac and John J. Riascos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Access.

In The Last Decade

Nicolás Cardozo

52 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolás Cardozo Colombia 12 244 214 209 77 50 59 511
Preeti Gulia India 13 187 0.8× 140 0.7× 174 0.8× 67 0.9× 34 0.7× 95 571
Masayoshi Aritsugi Japan 12 212 0.9× 151 0.7× 222 1.1× 64 0.8× 28 0.6× 116 551
G. Shobha India 12 139 0.6× 153 0.7× 207 1.0× 103 1.3× 12 0.2× 90 552
Kiyoshi Akama Japan 12 266 1.1× 135 0.6× 137 0.7× 22 0.3× 86 1.7× 87 545
G. Narsimha India 12 213 0.9× 121 0.6× 232 1.1× 40 0.5× 34 0.7× 69 531
Gabriel Luque Spain 15 479 2.0× 70 0.3× 157 0.8× 37 0.5× 15 0.3× 62 858
Zilong Wang China 13 298 1.2× 84 0.4× 164 0.8× 58 0.8× 11 0.2× 77 566
Ahmad F. Subahi Saudi Arabia 13 87 0.4× 109 0.5× 136 0.7× 32 0.4× 85 1.7× 24 425
M. Hemalatha India 13 209 0.9× 160 0.7× 242 1.2× 56 0.7× 216 4.3× 99 766

Countries citing papers authored by Nicolás Cardozo

Since Specialization
Citations

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

Fields of papers citing papers by Nicolás Cardozo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolás Cardozo

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolás Cardozo. A scholar is included among the top collaborators of Nicolás Cardozo 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 Nicolás Cardozo. Nicolás Cardozo 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.
2.
Cardozo, Nicolás, et al.. (2024). Out of step: Code clone detection for mobile apps across different language codebases. Science of Computer Programming. 236. 103112–103112.
3.
Cardozo, Nicolás, et al.. (2024). Learning Recovery Strategies for Dynamic Self-healing in Reactive Systems. 133–142. 1 indexed citations
4.
Fukuda, Hiroaki, et al.. (2023). Benefits, challenges, and usability evaluation of DeloreanJS: a back-in-time debugger for JavaScript. PeerJ Computer Science. 9. e1238–e1238. 1 indexed citations
5.
Tello, Daniel, Laura Natalia González-García, Jorge M. Gómez, et al.. (2022). NGSEP 4: Efficient and accurate identification of orthogroups and whole‐genome alignment. Molecular Ecology Resources. 23(3). 712–724. 17 indexed citations
6.
Cardozo, Nicolás, et al.. (2022). An expressive and modular layer activation mechanism for Context-Oriented Programming. Information and Software Technology. 156. 107132–107132. 2 indexed citations
7.
Mariño, Olga, et al.. (2022). A course hybrid recommender system for limited information scenarios. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
8.
Weyns, Danny, Ilias Gerostathopoulos, Barbora Bühnová, et al.. (2022). Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. ACM SIGSOFT Software Engineering Notes. 47(4). 18–24. 4 indexed citations
9.
Guériau, Maxime, Nicolás Cardozo, & Ivana Dusparić. (2019). Constructivist Approach to State Space Adaptation in Reinforcement Learning. 52–61. 7 indexed citations
10.
Tello, Daniel, et al.. (2019). NGSEP3: accurate variant calling across species and sequencing protocols. Bioinformatics. 35(22). 4716–4723. 54 indexed citations
11.
Cardozo, Nicolás. (2018). A Declarative Language for Context Activation. 1–7. 1 indexed citations
12.
Mens, Kim, et al.. (2017). Managing the Context Interaction Problem: A Classification and Design Space of Conflict Resolution Techniques in Dynamically Adaptive Software Systems. 1 indexed citations
13.
Mens, Kim, et al.. (2017). Managing the Context Interaction Problem. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1–6. 4 indexed citations
14.
Nallur, Vivek, et al.. (2016). Algorithm Diversity: A Mechanism for Distributive Justice in a Socio-Technical MAS. Adaptive Agents and Multi-Agents Systems. 420–428. 4 indexed citations
15.
Mens, Kim, Rafael Capilla, Nicolás Cardozo, & Bruno Dumas. (2016). A taxonomy of context-aware software variability approaches. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 119–124. 16 indexed citations
16.
Cardozo, Nicolás, Vivek Nallur, & Siobhán Clarke. (2015). Enabling participatory routing using a smart routing platform. 1–2. 1 indexed citations
17.
Cardozo, Nicolás, et al.. (2014). Features on demand. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1–8. 10 indexed citations
18.
Cardozo, Nicolás, et al.. (2014). Semantics for consistent activation in context-oriented systems. Information and Software Technology. 58. 71–94. 9 indexed citations
19.
Cardozo, Nicolás, Sebastián González, Kim Mens, Ragnhild Van Der Straeten, & Theo D’Hondt. (2013). Modeling and Analyzing Self-Adaptive Systems with Context Petri Nets. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 191–198. 13 indexed citations
20.
Cardozo, Nicolás, Sebastián González, Kim Mens, & Theo D’Hondt. (2011). Safer context (de)activation. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1–6. 6 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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