Javier Nieves
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Information Systems top 10%
- Artificial Intelligence
- Mechanical Engineering
- Co-authors
- Pablo G. BringasIgor SantosXabier Ugarte-PedreroBorja SanzCarlos LaordenYoseba K. PenyaFélix BrezoJon Sertucha
- Topics
- Materials Engineering and Processing (8 papers)Metal Forming Simulation Techniques (5 papers)Network Security and Intrusion Detection (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaInformation SciencesMetallurgical and Materials Transactions A
- Partner nations
- Spain
In The Last Decade
Javier Nieves
18 papers receiving 212 citations
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 107
- Signal Processing 94
- Information Systems 91
- Artificial Intelligence 56
- Mechanical Engineering 44
Countries citing papers authored by Javier Nieves
This map shows the geographic impact of Javier Nieves'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 Javier Nieves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Nieves more than expected).
Fields of papers citing papers by Javier Nieves
This network shows the impact of papers produced by Javier Nieves. 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 Javier Nieves. The network helps show where Javier Nieves may publish in the future.
Co-authorship network of co-authors of Javier Nieves
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Nieves. A scholar is included among the top collaborators of Javier Nieves 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 Javier Nieves. Javier Nieves 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 | 6 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 33 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 69 | |
| 10 | 13 | |
| 11 | 1 | |
| 12 | Salomon: un nuevo enfoque para la mejora de procesos de negocio mediante la produccion inteligente basada en modelos predictivos de control hibridos y autoadaptativos | 0 |
| 13 | 5 | |
| 14 | Overcoming data gathering errors for the prediction of mechanical properties on high precision foundries | 2 |
| 15 | Enhancing fault prediction on automatic foundry processes | 5 |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 34 | |
| 19 | Machine-learning-based mechanical properties prediction in foundry production | 13 |
| 20 | 20 |
About Javier Nieves
Javier Nieves is a scholar working on Software, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 21 papers that have together received 221 indexed citations. Recurring topics across this work include Materials Engineering and Processing (8 papers), Metal Forming Simulation Techniques (5 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Software (40 citations), Signal Processing (94 citations) and Computer Networks and Communications (107 citations). Javier Nieves has collaborated with scholars based in Spain. Frequent co-authors include Pablo G. Bringas, Igor Santos, Xabier Ugarte-Pedrero, Borja Sanz, Carlos Laorden, Yoseba K. Penya, Félix Brezo, Jon Sertucha and José María Gómez Hidalgo. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and Metallurgical and Materials Transactions A.
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.