J. G. Enríquez
- Industrial and Manufacturing Engineering top 5%
- Information Systems top 5%
- Management Information Systems top 5%
- Artificial Intelligence
- Computer Networks and Communications
- Co-authors
- Francisco José Domínguez MayoJ. A. García-GarcíaAndres J. RamirezMaría José EscalonaCristina ArévaloJesús MonteroMercedes RuizMindy K. Ross
- Topics
- Business Process Modeling and Analysis (9 papers)Robotic Process Automation Applications (7 papers)Data Quality and Management (5 papers)
- Journals
- Expert Systems with ApplicationsIEEE AccessJournal of the Association for Information Systems
- Partner nations
- SpainNetherlandsUnited Kingdom
In The Last Decade
J. G. Enríquez
28 papers receiving 285 citations
Peers
Comparison fields: 5 of 70
- Industrial and Manufacturing Engineering 135
- Information Systems 117
- Management Information Systems 106
- Artificial Intelligence 39
- Computer Networks and Communications 35
Countries citing papers authored by J. G. Enríquez
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 11 | |
| 8 | 26 | |
| 9 | 16 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | MARIA: A PROCESS TO MODEL ENTITY RECONCILIATION PROBLEMS | 1 |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 19 | |
| 18 | 7 | |
| 19 | Entity Identity Reconciliation based Big Data Federation-A MDE approach | 3 |
| 20 | 16 |
About J. G. Enríquez
J. G. Enríquez is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Information Systems, having authored 30 papers that have together received 314 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (9 papers), Robotic Process Automation Applications (7 papers) and Data Quality and Management (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (135 citations), Management Information Systems (106 citations) and Information Systems (117 citations). J. G. Enríquez has collaborated with scholars based in Spain, Netherlands and United Kingdom. Frequent 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. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Journal of the Association for Information Systems.
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.