J. G. Enríquez

612 total citations
30 papers, 314 citations indexed

About

J. G. Enríquez is a scholar working on Information Systems, Management Information Systems and Industrial and Manufacturing Engineering. According to data from OpenAlex, J. G. Enríquez has authored 30 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 11 papers in Management Information Systems and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in J. G. Enríquez's work include Business Process Modeling and Analysis (9 papers), Robotic Process Automation Applications (7 papers) and Data Quality and Management (5 papers). J. G. Enríquez is often cited by papers focused on Business Process Modeling and Analysis (9 papers), Robotic Process Automation Applications (7 papers) and Data Quality and Management (5 papers). J. G. Enríquez collaborates with scholars based in Spain, Netherlands and United Kingdom. J. G. Enríquez's co-authors include Francisco José Domínguez Mayo, J. A. García-García, Andres J. Ramirez, María José Escalona, Cristina Arévalo, Jesús Montero, Mercedes Ruiz, Mindy K. Ross, Javier Tuya and Raquel Blanco and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Journal of the Association for Information Systems.

In The Last Decade

J. G. Enríquez

28 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. G. Enríquez Spain 11 135 117 106 39 35 30 314
Suriadi Suriadi Australia 6 204 1.5× 150 1.3× 158 1.5× 90 2.3× 52 1.5× 19 438
Damir Kalpić Croatia 8 29 0.2× 55 0.5× 66 0.6× 46 1.2× 13 0.4× 60 217
Miguel Jiménez Colombia 8 58 0.4× 200 1.7× 43 0.4× 58 1.5× 35 1.0× 22 358
Benedict Bender Germany 9 155 1.1× 60 0.5× 34 0.3× 57 1.5× 21 0.6× 29 385
Therani Madhusudan United States 8 54 0.4× 160 1.4× 137 1.3× 131 3.4× 48 1.4× 19 306
Jorge Villalobos Colombia 9 19 0.1× 104 0.9× 96 0.9× 42 1.1× 40 1.1× 52 256
João Batista de Camargo Brazil 4 23 0.2× 120 1.0× 61 0.6× 19 0.5× 16 0.5× 21 260
Karl Kurbel Germany 10 57 0.4× 81 0.7× 81 0.8× 72 1.8× 40 1.1× 60 278
Ana Respício Portugal 10 85 0.6× 109 0.9× 43 0.4× 23 0.6× 53 1.5× 32 280
Pedro Valderas Spain 11 39 0.3× 194 1.7× 88 0.8× 65 1.7× 101 2.9× 37 343

Countries citing papers authored by J. G. Enríquez

Since Specialization
Citations

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

Fields of papers citing papers by J. G. Enríquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. G. Enríquez

This figure shows the co-authorship network connecting the top 25 collaborators of J. G. Enríquez. A scholar is included among the top collaborators of J. G. Enríquez 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 J. G. Enríquez. J. G. Enríquez 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.
Enríquez, J. G., et al.. (2025). From manual to automated: a state-of-the-art review to examine the impact of intelligent document processing in banking automation. Expert Systems with Applications. 285. 127958–127958.
2.
Enríquez, J. G., Luis Miguel Soria Morillo, J. A. García-García, & Juan A. Álvarez-García. (2023). Two decades of assistive technologies to empower people with disability: a systematic mapping study. Disability and Rehabilitation Assistive Technology. 19(5). 2095–2112. 2 indexed citations
3.
Ramirez, Andres J., et al.. (2023). A screenshot-based task mining framework for disclosing the drivers behind variable human actions. Information Systems. 121. 102340–102340. 2 indexed citations
4.
Enríquez, J. G., et al.. (2023). The innovation challenge in Spain: A Delphi study. Expert Systems with Applications. 230. 120611–120611. 1 indexed citations
5.
Enríquez, J. G., et al.. (2023). The Innovation Challenge in Spain: A Delphi Study. SSRN Electronic Journal. 1 indexed citations
6.
Ramirez, Andres J., et al.. (2023). A Tool Supported Method to Generate User Interface Logs. Journal of the Association for Information Systems. 1 indexed citations
7.
Ramirez, Andres J., et al.. (2022). Hybridizing humans and robots: An RPA horizon envisaged from the trenches. Computers in Industry. 138. 103615–103615. 23 indexed citations
8.
Ramirez, Andres J., et al.. (2020). Automated testing in robotic process automation projects. Journal of Software Evolution and Process. 35(3). 11 indexed citations
9.
García-García, J. A., et al.. (2020). Software Process Simulation Modeling: Systematic literature review. Computer Standards & Interfaces. 70. 103425–103425. 26 indexed citations
10.
Enríquez, J. G., et al.. (2020). A Unified Model Representation of Machine Learning Knowledge. Journal of Web Engineering. 2 indexed citations
11.
Montero, Jesús, Andres J. Ramirez, & J. G. Enríquez. (2019). Towards a Method for Automated Testing in Robotic Process Automation Projects. idUS (Universidad de Sevilla). 42–47. 16 indexed citations
12.
Enríquez, J. G., et al.. (2019). Recommendation and Classification Systems: A Systematic Mapping Study. Scientific Programming. 2019. 1–18. 7 indexed citations
13.
Enríquez, J. G., et al.. (2018). MARIA: A PROCESS TO MODEL ENTITY RECONCILIATION PROBLEMS. Journal of Web Engineering. 17. 206–223. 1 indexed citations
14.
Blanco, Raquel, J. G. Enríquez, Francisco José Domínguez Mayo, María José Escalona, & Javier Tuya. (2018). Early Integration Testing for Entity Reconciliation in the Context of Heterogeneous Data Sources. IEEE Transactions on Reliability. 67(2). 538–556. 10 indexed citations
15.
Rivero, José Matías, et al.. (2018). Challenges for the Adoption of Model-Driven Web Engineering Approaches in Industry.. Journal of Web Engineering. 17. 183–205. 1 indexed citations
16.
Enríquez, J. G.. (2018). The Importance of Academic Mobility: The Erasmus+ Program. IT Professional. 20(5). 79–82. 3 indexed citations
17.
Enríquez, J. G., J. Aroba, J.L. Navarro, et al.. (2017). Behavior patterns in hormonal treatments using fuzzy logic models. Soft Computing. 22(1). 79–90. 2 indexed citations
18.
Enríquez, J. G., et al.. (2015). Entity Identity Reconciliation based Big Data Federation-A MDE approach. 3 indexed citations
19.
Mayo, Francisco José Domínguez, María José Escalona, M. Mejías, et al.. (2015). A Strategic Study about Quality Characteristics in e‐Health Systems Based on a Systematic Literature Review. The Scientific World JOURNAL. 2015(1). 863591–863591. 16 indexed citations
20.
Enríquez, J. G.. (2008). Translating networked learning: un‐tying relational ties. Journal of Computer Assisted Learning. 24(2). 116–127. 19 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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