Ignacio Lira

1.4k citations
83 papers · 1.2k · h-index 22

Impact in

Papers in

Ignacio Lira

78 papers receiving 1.0k citations

Peers

Ignacio Lira
Comparison fields: 5 of 110
  • Statistics, Probability and Uncertainty 558
  • Statistics and Probability 122
  • Radiation 66
  • Mechanical Engineering 275
  • Computer Vision and Pattern Recognition 149
Replace Thomas J. Harris with:
Thomas J. Harris Canada
M G Cox United Kingdom
Klaus‐Dieter Sommer Germany
Wolfgang Wöger Germany
Walter Bich Italy
William T. Estler United States
Gilberto Espinosa-Paredes Mexico
Xueqin Li China
Jean‐Marc Martinez France
T.H.J.J. van der Hagen Netherlands
Ignacio Lira relative to Thomas J. Harris Canada Thomas J. Harris's profile →
Citations per field
00.5×1.5×2×2.3×
Thomas J. Harris · 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 23 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 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200272
2 200266
3 200656
4 200753
5 201048
6 200244
7 200138
8 200337
9 199736
10 198734
11 201633
12 200131
13 200430
14 199830
15 199927
16 200526
17 200725
18 200825
19 200725
20 200225

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 83 papers that have together received 1.2k 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), Optical measurement and interference techniques (12 papers), Advanced Statistical Methods and Models (12 papers), Probabilistic and Robust Engineering Design (8 papers), Sensor Technology and Measurement Systems (8 papers) and Advanced Measurement and Metrology Techniques (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (558 citations), Statistics and Probability (122 citations), Radiation (66 citations), Mechanical Engineering (275 citations) and Computer Vision and Pattern Recognition (149 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, Carlos Pérez-López and Ramón Rodrı́guez-Vera. Their work appears in journals such as Metrologia, Measurement Science and Technology, Measurement, Experiments in Fluids and Optics and Lasers in Engineering.

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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