Javier Cámara
About
In The Last Decade
Javier Cámara
78 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 827
- Computer Networks and Communications 631
- Information Systems 582
- Software 276
- Computational Theory and Mathematics 91
Countries citing papers authored by Javier Cámara
This map shows the geographic impact of Javier Cámara'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 Cámara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Cámara more than expected).
Fields of papers citing papers by Javier Cámara
This network shows the impact of papers produced by Javier Cámara. 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 Cámara. The network helps show where Javier Cámara may publish in the future.
Co-authorship network of co-authors of Javier Cámara
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Cámara. A scholar is included among the top collaborators of Javier Cámara 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 Cámara. Javier Cámara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML breakdown → | 99 |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 21 | |
| 13 | 26 | |
| 14 | 18 | |
| 15 | 31 | |
| 16 | 35 | |
| 17 | 33 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | 11 |
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.