P. Molina

3.1k total citations · 1 hit paper
24 papers, 2.3k citations indexed

About

P. Molina is a scholar working on Aerospace Engineering, Geology and Environmental Engineering. According to data from OpenAlex, P. Molina has authored 24 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Aerospace Engineering, 9 papers in Geology and 8 papers in Environmental Engineering. Recurrent topics in P. Molina's work include Robotics and Sensor-Based Localization (15 papers), 3D Surveying and Cultural Heritage (9 papers) and Remote Sensing and LiDAR Applications (8 papers). P. Molina is often cited by papers focused on Robotics and Sensor-Based Localization (15 papers), 3D Surveying and Cultural Heritage (9 papers) and Remote Sensing and LiDAR Applications (8 papers). P. Molina collaborates with scholars based in Spain, Switzerland and Brazil. P. Molina's co-authors include I. Colomina, Jan Škaloud, Pedro F. Silva, Glòria Pérez, Jennifer Simeon, Sylvain Capo, Alphonse Nahon, Davide A. Cucci, Eduard Angelats and Pedro J. Freire and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

P. Molina

22 papers receiving 2.2k citations

Hit Papers

Unmanned aerial systems for photogrammetry and remote sen... 2014 2026 2018 2022 2014 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Unmanned aerial systems for photogrammetry and remote sensing: A review
    2014 2.1k citations I. Colomina, P. Molina ISPRS Journal of Photogrammetry and Remote Sensing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P. Molina Spain 7 1.3k 1.1k 658 543 280 24 2.3k
I. Colomina Spain 10 1.4k 1.0× 1.2k 1.1× 836 1.3× 542 1.0× 287 1.0× 60 2.5k
Fernando Carvajal-Ramírez Spain 25 1.3k 1.0× 1.1k 1.0× 363 0.6× 468 0.9× 114 0.4× 56 2.2k
Francisco Agüera-Vega Spain 26 1.5k 1.1× 1.1k 1.0× 404 0.6× 665 1.2× 132 0.5× 57 2.5k
Marco Dubbini Italy 18 1.0k 0.8× 740 0.7× 296 0.4× 656 1.2× 99 0.4× 45 1.9k
Henri Eisenbeiss Switzerland 22 902 0.7× 897 0.8× 503 0.8× 267 0.5× 187 0.7× 34 1.7k
Anette Eltner Germany 22 1.3k 0.9× 821 0.8× 255 0.4× 697 1.3× 193 0.7× 76 2.2k
Luke Wallace Australia 22 2.3k 1.7× 1.0k 0.9× 413 0.6× 1.3k 2.3× 179 0.6× 54 3.2k
Sagi Filin Israel 25 999 0.7× 893 0.8× 440 0.7× 361 0.7× 284 1.0× 111 1.8k
J. Dietrich United States 14 1.0k 0.8× 782 0.7× 401 0.6× 650 1.2× 124 0.4× 37 2.1k
David Hernández‐López Spain 29 876 0.7× 525 0.5× 256 0.4× 850 1.6× 130 0.5× 82 2.1k

Countries citing papers authored by P. Molina

Since Specialization
Citations

This map shows the geographic impact of P. Molina'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 P. Molina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Molina more than expected).

Fields of papers citing papers by P. Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Molina. 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 P. Molina. The network helps show where P. Molina may publish in the future.

Co-authorship network of co-authors of P. Molina

This figure shows the co-authorship network connecting the top 25 collaborators of P. Molina. A scholar is included among the top collaborators of P. Molina 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 P. Molina. P. Molina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Molina, P., et al.. (2020). Assessment Of Pca And Mnf Influence In The Vhr Satellite Image Classifications. 5. 143–148. 2 indexed citations
3.
Molina, P., et al.. (2020). Hyperspectral Image Classification Using Random Forest and Deep Learning Algorithms. 132–132. 21 indexed citations
4.
Nahon, Alphonse, et al.. (2019). Corridor Mapping of Sandy Coastal Foredunes with UAS Photogrammetry and Mobile Laser Scanning. Remote Sensing. 11(11). 1352–1352. 25 indexed citations
5.
6.
Molina, P., et al.. (2016). PRECISION ANALYSIS OF POINT-AND-SCALE PHOTOGRAMMETRIC MEASUREMENTS FOR CORRIDOR MAPPING: PRELIMINARY RESULTS. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XL-3/W4. 85–90. 4 indexed citations
7.
Molina, P., et al.. (2016). PRECISION ANALYSIS OF POINT-AND-SCALE PHOTOGRAMMETRIC MEASUREMENTS FOR CORRIDOR MAPPING: PRELIMINARY RESULTS. SHILAP Revista de lepidopterología. XL-3/W4. 85–90. 6 indexed citations
8.
Molina, P., et al.. (2015). A METHOD FOR SIMULTANEOUS AERIAL AND TERRESTRIAL GEODATA ACQUISITION FOR CORRIDOR MAPPING. SHILAP Revista de lepidopterología. XL-1/W4. 227–232. 6 indexed citations
9.
Molina, P., et al.. (2014). THE PERIGEO PROJECT: INERTIAL AND IMAGING SENSORS PROCESSING, INTEGRATION AND VALIDATION ON UAV PLATFORMS FOR SPACE NAVIGATION. SHILAP Revista de lepidopterología. XL-3/W1. 79–85. 2 indexed citations
10.
Colomina, I. & P. Molina. (2014). Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing. 92. 79–97. 2104 indexed citations breakdown →
11.
Angelats, Eduard, et al.. (2014). A Parallax Based Robust Image Matching For Improving Multisensor Navigation In Gnss-Denied Environments. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
12.
Colomina, I. & P. Molina. (2014). Unmanned Aerial Systems For Photogrammetry And Remote Sensing: A Review. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
13.
Molina, P., et al.. (2012). SEARCHING LOST PEOPLE WITH UAVS: THE SYSTEM AND RESULTS OF THE CLOSE-SEARCH PROJECT. SHILAP Revista de lepidopterología. XXXIX-B1. 441–446. 39 indexed citations
14.
Molina, P., et al.. (2012). EGNOS-BASED MULTI-SENSOR ACCURATE AND RELIABLE NAVIGATION IN SEARCH-AND-RESCUE MISSIONS WITH UAVS. SHILAP Revista de lepidopterología. XXXVIII-1/C22. 87–93. 5 indexed citations
15.
Molina, P., et al.. (2012). Drones to the Rescue! Unmanned Aerial Search Missions Based on Thermal Imaging and Reliable Navigation. 17 indexed citations
16.
Molina, P., et al.. (2012). Drones to the Rescue. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4 indexed citations
17.
Molina, P., et al.. (2011). CLOSE-SEARCH: ACCURATE AND SAFE EGNOS-SOL NAVIGATION FOR UAV-BASED LOW-COST SAR OPERATIONS. Infoscience (Ecole Polytechnique Fédérale de Lausanne).
18.
Molina, P., et al.. (2011). Integrity Aspects of Hybrid EGNOS-based Navigation on Support of Search And-Rescue Missions with UAVs. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 8. 4 indexed citations
19.
Molina, P., et al.. (2008). New Approaches to IMU Modeling and INS/GPS Integration for UAV-Based Earth-Observation. 1335–1344. 3 indexed citations
20.
Pérez, Glòria, et al.. (2000). Exactitud de las estadísticas de mortalidad por causas externas y naturales con intervención médico-legal en Cataluña, 1996. Gaceta Sanitaria. 14(5). 356–362. 22 indexed citations

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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