Ignacio Lira

1.4k citations
82 papers · 1.1k · h-index 21

Impact in

Papers in

Ignacio Lira

77 papers receiving 957 citations

Peers

Ignacio Lira
Comparison fields: 5 of 109
  • Statistics, Probability and Uncertainty 513
  • Statistics and Probability 115
  • Mechanical Engineering 261
  • Computer Vision and Pattern Recognition 142
  • Radiation 59
Replace Alistair Forbes with:
Alistair Forbes United Kingdom
M G Cox United Kingdom
Xueqin Li China
Klaus‐Dieter Sommer Germany
Walter Bich Italy
William T. Estler United States
Robin Willink New Zealand
Wolfgang Wöger Germany
Keith R. Eberhardt United States
Gilberto Espinosa-Paredes Mexico
Ignacio Lira relative to Alistair Forbes United Kingdom Alistair Forbes's profile →
Citations per field
00.5×3.8×
Alistair Forbes · 1×
Citations per year

Countries citing papers authored by Ignacio Lira

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 22 scholars most cited alongside Ignacio Lira, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ignacio Lira Line = papers co-authored together Ignacio Lira links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200268
2 200264
3 200651
4 200751
5 201045
6 200237
7 200136
8 200336
9 199733
10 198733
11 201630
12 200430
13 200129
14 199828
15 199926
16 200525
17 200823
18 200722
19 200222
20 200722

About Ignacio Lira

Ignacio Lira is a scholar working on Statistics, Probability and Uncertainty, Biomedical Engineering, Statistics and Probability, Computer Vision and Pattern Recognition and Mechanical Engineering, 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), Advanced Sensor Technologies Research (16 papers), Advanced Statistical Methods and Models (12 papers), Optical measurement and interference techniques (12 papers), Sensor Technology and Measurement Systems (8 papers), Probabilistic and Robust Engineering Design (8 papers) and Advanced Measurement and Metrology Techniques (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (513 citations), Statistics and Probability (115 citations), Mechanical Engineering (261 citations), Computer Vision and Pattern Recognition (142 citations) and Radiation (59 citations). Ignacio Lira has collaborated with scholars based in Chile, Germany and Austria. 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 Ramón Rodrı́guez-Vera. Their work appears in journals such as Metrologia, Measurement Science and Technology, Measurement, Optics and Lasers in Engineering and Experiments in Fluids.

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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