Ignacio Lira
- Statistics, Probability and Uncertainty top 0.5%
- Mechanical Engineering top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Wolfgang WögerJohn R. TaylorManuel FrançoisRaúl R. CorderoCharles M. VestRobin WillinkClemens ElsterRodrigo Riquelme
- Topics
- Scientific Measurement and Uncertainty Evaluation (50 papers)Advanced Statistical Process Monitoring (23 papers)Advanced Sensor Technologies Research (16 papers)
In The Last Decade
Ignacio Lira
77 papers receiving 957 citations
Peers
Comparison fields: 5 of 109
- Statistics, Probability and Uncertainty 513
- Mechanical Engineering 261
- Biomedical Engineering 253
- Computer Vision and Pattern Recognition 142
- Computer Networks and Communications 118
Countries citing papers authored by Ignacio Lira
This map shows the geographic impact of Ignacio Lira'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 Ignacio Lira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Lira more than expected).
Fields of papers citing papers by Ignacio Lira
This network shows the impact of papers produced by Ignacio Lira. 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 Ignacio Lira. The network helps show where Ignacio Lira may publish in the future.
Co-authorship network of co-authors of Ignacio Lira
This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio Lira. A scholar is included among the top collaborators of Ignacio Lira 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 Ignacio Lira. Ignacio Lira 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 45 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 37 | |
| 14 | 1 | |
| 15 | 36 | |
| 16 | 14 | |
| 17 | 28 | |
| 18 | 14 | |
| 19 | 33 | |
| 20 | 2 |
About Ignacio Lira
Ignacio Lira is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Radiation, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (50 papers), Advanced Statistical Process Monitoring (23 papers) and Advanced Sensor Technologies Research (16 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (513 citations), Statistics and Probability (115 citations) and Mechanical Engineering (261 citations). Ignacio Lira has collaborated with scholars based in Chile, Austria and Germany. Frequent co-authors include Wolfgang Wöger, John R. Taylor, Manuel François, Raúl R. Cordero, Charles M. Vest, Robin Willink, Clemens Elster, Rodrigo Riquelme, J. A. Rayas and Carlos Pérez-López. Their work appears in journals such as Industrial & Engineering Chemistry Research, Journal of Physics D Applied Physics and Journal of Materials Processing Technology.
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.