José A. Cruz-Lemus

868 total citations
28 papers, 433 citations indexed

About

José A. Cruz-Lemus is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, José A. Cruz-Lemus has authored 28 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 11 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in José A. Cruz-Lemus's work include Software Engineering Research (15 papers), Software Engineering Techniques and Practices (8 papers) and Software System Performance and Reliability (6 papers). José A. Cruz-Lemus is often cited by papers focused on Software Engineering Research (15 papers), Software Engineering Techniques and Practices (8 papers) and Software System Performance and Reliability (6 papers). José A. Cruz-Lemus collaborates with scholars based in Spain, Italy and Argentina. José A. Cruz-Lemus's co-authors include Marcela Genero, Mario Piattini, Beatriz Marín, Manuel Serrano, Ana I. Molina, Carmen Lacave, Ricardo Pérez‐Castillo, Carmine Gravino, Genoveffa Tortora and Giuseppe Scanniello and has published in prestigious journals such as ACM Computing Surveys, Information Sciences and IEEE Software.

In The Last Decade

José A. Cruz-Lemus

26 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José A. Cruz-Lemus Spain 11 273 157 118 114 80 28 433
Francisco Jurado Spain 10 129 0.5× 118 0.8× 46 0.4× 127 1.1× 49 0.6× 39 300
Mike Brayshaw United Kingdom 11 104 0.4× 145 0.9× 47 0.4× 91 0.8× 68 0.8× 26 338
Markus Völter United States 11 190 0.7× 176 1.1× 119 1.0× 44 0.4× 24 0.3× 22 340
Judith Bishop United States 11 215 0.8× 65 0.4× 127 1.1× 200 1.8× 76 0.9× 47 399
C. Cook United States 17 239 0.9× 97 0.6× 342 2.9× 180 1.6× 117 1.5× 28 534
Susan Mengel United States 12 248 0.9× 90 0.6× 73 0.6× 143 1.3× 32 0.4× 56 395
Oscar Karnalim Indonesia 14 339 1.2× 158 1.0× 115 1.0× 201 1.8× 44 0.6× 94 620
Elliot B. Koffman United States 13 204 0.7× 128 0.8× 92 0.8× 427 3.7× 100 1.3× 67 631
Paul Gestwicki United States 12 184 0.7× 66 0.4× 90 0.8× 191 1.7× 114 1.4× 30 374
Austin Z. Henley United States 10 178 0.7× 129 0.8× 52 0.4× 139 1.2× 29 0.4× 28 392

Countries citing papers authored by José A. Cruz-Lemus

Since Specialization
Citations

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

Fields of papers citing papers by José A. Cruz-Lemus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José A. Cruz-Lemus. 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 José A. Cruz-Lemus. The network helps show where José A. Cruz-Lemus may publish in the future.

Co-authorship network of co-authors of José A. Cruz-Lemus

This figure shows the co-authorship network connecting the top 25 collaborators of José A. Cruz-Lemus. A scholar is included among the top collaborators of José A. Cruz-Lemus 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 José A. Cruz-Lemus. José A. Cruz-Lemus 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.
Pérez‐Castillo, Ricardo, et al.. (2024). A preliminary study of the usage of design patterns in quantum software. 41–48. 2 indexed citations
3.
Romero, Francisco P., et al.. (2024). Automata-Based Quantum Circuit Design Patterns Identification: A Novel Approach and Experimental Verification. International Journal of Software Engineering and Knowledge Engineering. 34(9). 1415–1439.
4.
Cruz-Lemus, José A., et al.. (2023). A Systematic Mapping Study on Quantum Circuits Design Patterns. 3 indexed citations
5.
Serrano, Manuel, José A. Cruz-Lemus, Ricardo Pérez‐Castillo, & Mario Piattini. (2022). Quantum Software Components and Platforms: Overview and Quality Assessment. ACM Computing Surveys. 55(8). 1–31. 41 indexed citations
6.
Lacave, Carmen, Ana I. Molina, & José A. Cruz-Lemus. (2018). Learning Analytics to identify dropout factors of Computer Science studies through Bayesian networks. Behaviour and Information Technology. 37(10-11). 993–1007. 50 indexed citations
7.
Scanniello, Giuseppe, Carmine Gravino, Marcela Genero, et al.. (2018). Do software models based on the UML aid in source-code comprehensibility? Aggregating evidence from 12 controlled experiments. Empirical Software Engineering. 23(5). 2695–2733. 17 indexed citations
8.
Marín, Beatriz, et al.. (2018). An Empirical Investigation on the Benefits of Gamification in Programming Courses. ACM Transactions on Computing Education. 19(1). 1–22. 82 indexed citations
9.
Cruz-Lemus, José A., Marcela Genero, Marta N. Gómez, & Silvia T. Acuña. (2013). Formación de equipos en función de la extroversión de sus integrantes: un experimento replicado. QRU Quaderns de Recerca en Urbanisme. 1 indexed citations
10.
Gómez, Marta N., Silvia T. Acuña, Marcela Genero, & José A. Cruz-Lemus. (2012). How Does the Extraversion of Software Development Teams Influence Team Satisfaction and Software Quality?. International Journal of Human Capital and Information Technology Professionals. 3(4). 11–24. 2 indexed citations
11.
Pérez‐Castillo, Ricardo, José A. Cruz-Lemus, Ignacio García‐Rodríguez de Guzmán, & Mario Piattini. (2012). A family of case studies on business process mining using MARBLE. Journal of Systems and Software. 85(6). 1370–1385. 10 indexed citations
12.
Cruz-Lemus, José A., Ann Maes, Marcela Genero, Geert Poels, & Mario Piattini. (2010). The impact of structural complexity on the understandability of UML statechart diagrams. Information Sciences. 180(11). 2209–2220. 38 indexed citations
13.
García, Félix, Manuel Serrano, José A. Cruz-Lemus, et al.. (2008). Empirical studies in software engineering courses: some pedagogical experiences. International journal of engineering education. 24(4). 761–771. 3 indexed citations
14.
Genero, Marcela, José A. Cruz-Lemus, Danilo Caivano, et al.. (2008). Does the use of stereotypes improve the comprehension of UML sequence diagrams?. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 300–302. 6 indexed citations
15.
Cruz-Lemus, José A., et al.. (2008). Formal definition of measures for UML statechart diagrams using OCL. 846–847. 1 indexed citations
16.
García, Félix, Manuel Serrano, José A. Cruz-Lemus, Francisco Ruíz, & Mario Piattini. (2007). Managing software process measurement: A metamodel-based approach. Information Sciences. 177(12). 2570–2586. 43 indexed citations
17.
Cruz-Lemus, José A.. (2007). A measurement-based approach for assessing uml statechart diagrams understandability. Dialnet (Universidad de la Rioja). 2 indexed citations
18.
Cruz-Lemus, José A., Marcela Genero, José Á. Olivas, Francisco P. Romero, & Mario Piattini. (2004). Predicting UML Statechart Diagrams Understandability Using Fuzzy Logic-Based Techniques.. Software Engineering and Knowledge Engineering. 99(43). 238–245. 4 indexed citations
19.
Genero, Marcela, et al.. (2004). Métricas para Modelos UML. 61–65. 1 indexed citations
20.
Cruz-Lemus, José A., et al.. (2004). La experimentación en la docencia de Ingeniería del Software. Dialnet (Universidad de la Rioja). 237–246. 1 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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