Lars Lindner
Impact in
- Computational Mechanics top 5%
- Astronomical Observations and Instrumentation
- Instrumentation top 10%
Papers in
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- Astronomical Observations and Instrumentation 36
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- Advanced Measurement and Detection Methods 19
- Co-authors
- Oleg Sergiyenko (42 shared papers)Julio C. Rodríguez‐Quiñonez (34 shared papers)Wendy Flores‐Fuentes (30 shared papers)Daniel Hernández‐Balbuena (30 shared papers)Moisés Rivas-López (27 shared papers)Vera Tyrsa (21 shared papers)Fabián N. Murrieta-Rico (14 shared papers)Paolo Mercorelli (13 shared papers)
In The Last Decade
Lars Lindner
43 papers receiving 488 citations
Peers
Comparison fields: 5 of 69
- Computational Mechanics 213
- Instrumentation 32
- Geology 50
- Computer Vision and Pattern Recognition 160
- Aerospace Engineering 80
Countries citing papers authored by Lars Lindner
This map shows the geographic impact of Lars Lindner'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 Lars Lindner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Lindner more than expected).
Fields of papers citing papers by Lars Lindner
This network shows the impact of papers produced by Lars Lindner. 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 Lars Lindner. The network helps show where Lars Lindner may publish in the future.
Co-authors
The 21 scholars most cited alongside Lars Lindner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 50 | |
| 2 | 2020 | 45 | |
| 3 | 2020 | 42 | |
| 4 | 2017 | 35 | |
| 5 | 2017 | 33 | |
| 6 | 2016 | 32 | |
| 7 | 2016 | 21 | |
| 8 | 2016 | 20 | |
| 9 | 2015 | 19 | |
| 10 | 2016 | 19 | |
| 11 | 2020 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2016 | 14 | |
| 14 | 2018 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2018 | 11 | |
| 17 | 2017 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2014 | 8 | |
| 20 | 2017 | 8 |
About Lars Lindner
Lars Lindner is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Computer Networks and Communications, Instrumentation and Management Information Systems, having authored 48 papers that have together received 528 indexed citations. Recurring topics across this work include Astronomical Observations and Instrumentation (36 papers), Advanced Measurement and Detection Methods (19 papers), Sensor Technology and Measurement Systems (14 papers), Advanced Optical Sensing Technologies (7 papers), Optics and Image Analysis (6 papers), Advanced Measurement and Metrology Techniques (5 papers), 3D Surveying and Cultural Heritage (4 papers) and Advanced Computational Techniques and Applications (4 papers). The work is most often cited by research in Computational Mechanics (213 citations), Instrumentation (32 citations), Geology (50 citations), Computer Vision and Pattern Recognition (160 citations) and Aerospace Engineering (80 citations). Lars Lindner has collaborated with scholars based in Mexico, Germany and Ukraine. Frequent co-authors include Oleg Sergiyenko, Julio C. Rodríguez‐Quiñonez, Wendy Flores‐Fuentes, Daniel Hernández‐Balbuena, Moisés Rivas-López, Vera Tyrsa, Fabián N. Murrieta-Rico, Paolo Mercorelli, Juan Iván Nieto Hipólito and Luis C. Básaca-Preciado. Their work appears in journals such as Measurement, Industrial Robot the international journal of robotics research and application, IEEE Sensors Journal, Sensors and Structural Control and Health Monitoring.
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.