M. Daakir
Impact in
- Geology top 2%
- 3D Surveying and Cultural Heritage
- Space and Planetary Science top 5%
Papers in
- Geology 8
- 3D Surveying and Cultural Heritage 8
-
- Robotics and Sensor-Based Localization 5
- Co-authors
- François Pierrot (5 shared papers)Ewelina Rupnik (3 shared papers)Christian Thom (5 shared papers)Yilin Zhou (2 shared papers)Pierre Bosser (4 shared papers)Olivier Martin (2 shared papers)Zili Li (1 shared paper)John A. Osborne (1 shared paper)
- Journals
- ISPRS Journal of Photogrammetry and Remote Sensing (3 papers)Tunnelling and Underground Space Technology (1 paper)SHILAP Revista de lepidopterología (2 papers)The international archives of the photogrammetry, remote sensing and spatial information sciences (1 paper)SPIRE - Sciences Po Institutional REpository (1 paper)
- Partner nations
- FranceSwitzerlandIreland
In The Last Decade
M. Daakir
8 papers receiving 363 citations
M. Daakir's Hit Papers
Peers
Comparison fields: 5 of 56
- Geology 181
- Space and Planetary Science 23
- Environmental Engineering 159
- Aerospace Engineering 128
- Management, Monitoring, Policy and Law 49
Countries citing papers authored by M. Daakir
This map shows the geographic impact of M. Daakir'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 M. Daakir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Daakir more than expected).
Fields of papers citing papers by M. Daakir
This network shows the impact of papers produced by M. Daakir. 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 M. Daakir. The network helps show where M. Daakir may publish in the future.
Co-authors
The 8 scholars most cited alongside M. Daakir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | MicMac – a free, open-source solution for photogrammetry Hit paper breakdown → | 2017 | 257 |
| 2 | 2019 | 37 | |
| 3 | 2017 | 31 | |
| 4 | 2019 | 16 | |
| 5 | 2015 | 15 | |
| 6 | 2016 | 9 | |
| 7 | 2016 | 6 | |
| 8 | 2024 | 3 |
About M. Daakir
M. Daakir is a scholar working on Geology, Aerospace Engineering, Environmental Engineering, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 8 papers that have together received 374 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (8 papers), Robotics and Sensor-Based Localization (5 papers), Remote Sensing and LiDAR Applications (3 papers), Satellite Image Processing and Photogrammetry (2 papers), Advanced Vision and Imaging (2 papers), Infrastructure Maintenance and Monitoring (1 paper), Advanced Measurement and Detection Methods (1 paper) and Tunneling and Rock Mechanics (1 paper). The work is most often cited by research in Geology (181 citations), Space and Planetary Science (23 citations), Environmental Engineering (159 citations), Aerospace Engineering (128 citations) and Management, Monitoring, Policy and Law (49 citations). M. Daakir has collaborated with scholars based in France, Switzerland and Ireland. Frequent co-authors include François Pierrot, Ewelina Rupnik, Christian Thom, Yilin Zhou, Pierre Bosser, Olivier Martin, Zili Li and John A. Osborne. Their work appears in journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Tunnelling and Underground Space Technology, SHILAP Revista de lepidopterología, The international archives of the photogrammetry, remote sensing and spatial information sciences and SPIRE - Sciences Po Institutional REpository.
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.