T. Allouis

598 total citations
11 papers, 396 citations indexed

About

T. Allouis is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Geology. According to data from OpenAlex, T. Allouis has authored 11 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 5 papers in Nature and Landscape Conservation and 5 papers in Geology. Recurrent topics in T. Allouis's work include Remote Sensing and LiDAR Applications (10 papers), 3D Surveying and Cultural Heritage (5 papers) and Forest ecology and management (5 papers). T. Allouis is often cited by papers focused on Remote Sensing and LiDAR Applications (10 papers), 3D Surveying and Cultural Heritage (5 papers) and Forest ecology and management (5 papers). T. Allouis collaborates with scholars based in France, India and Benin. T. Allouis's co-authors include Sylvie Durrieu, Jean‐Stéphane Bailly, Cédric Vega, Yves Pastol, Catherine Le Roux, François Pierrot, Frédéric Bretar, William Puech, P. Languille and Olivier Strauss and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of Remote Sensing.

In The Last Decade

T. Allouis

11 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Allouis France	8	322	185	127	98	65	11	396
Nicholas Wilson Australia	8	239 0.7×	127 0.7×	117 0.9×	57 0.6×	104 1.6×	14	380
Johannes Otepka Austria	7	367 1.1×	118 0.6×	217 1.7×	89 0.9×	35 0.5×	13	445
Wilfried Karel Austria	11	565 1.8×	178 1.0×	339 2.7×	151 1.5×	66 1.0×	26	690
Jonathon J. Donager United States	6	304 0.9×	221 1.2×	86 0.7×	91 0.9×	135 2.1×	7	465
Ulla Pyysalo Finland	10	515 1.6×	225 1.2×	202 1.6×	229 2.3×	62 1.0×	13	551
Zhenyang Hui China	12	419 1.3×	170 0.9×	258 2.0×	79 0.8×	27 0.4×	30	484
Lukas Winiwarter Germany	12	435 1.4×	127 0.7×	285 2.2×	105 1.1×	73 1.1×	32	517
Milutin Milenković Austria	10	237 0.7×	164 0.9×	54 0.4×	51 0.5×	96 1.5×	22	360
R. Sheridan United States	7	548 1.7×	330 1.8×	103 0.8×	241 2.5×	154 2.4×	8	657
Philipp Glira Austria	11	423 1.3×	82 0.4×	337 2.7×	63 0.6×	34 0.5×	25	560

Countries citing papers authored by T. Allouis

Since Specialization

Citations

This map shows the geographic impact of T. Allouis'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 T. Allouis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Allouis more than expected).

Fields of papers citing papers by T. Allouis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Allouis

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

All Works

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11 of 11 papers shown

Allouis, T., et al.. (2020). A flexible targetless LiDAR–GNSS/INS–camera calibration method for UAV platforms. ISPRS Journal of Photogrammetry and Remote Sensing. 166. 294–307. 24 indexed citations

Allouis, T., et al.. (2018). DEVELOPING AND VALIDATING A PREDICTIVE MODEL OF MEASUREMENT UNCERTAINTY FOR MULTI-BEAM LIDARS: APPLICATION TO THE VELODYNE VLP-16. HAL (Le Centre pour la Communication Scientifique Directe). 1–5. 6 indexed citations

Allouis, T., et al.. (2017). Utilisation conjointe de trains d'ondes lidar vert et infrarouge pour la bathymétrie des eaux de très faibles profondeurs. SHILAP Revista de lepidopterología. 33–42. 1 indexed citations

Allouis, T., et al.. (2012). Stem Volume and Above-Ground Biomass Estimation of Individual Pine Trees From LiDAR Data: Contribution of Full-Waveform Signals. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(2). 924–934. 63 indexed citations

Vega, Cédric, et al.. (2012). A sequential iterative dual-filter for Lidar terrain modeling optimized for complex forested environments. Computers & Geosciences. 44. 31–41. 22 indexed citations

Allouis, T., Sylvie Durrieu, & Pierre Couteron. (2012). A New Method for Incorporating Hillslope Effects to Improve Canopy-Height Estimates From Large-Footprint LIDAR Waveforms. IEEE Geoscience and Remote Sensing Letters. 9(4). 730–734. 14 indexed citations

Allouis, T., Sylvie Durrieu, Patrick Chazette, et al.. (2011). Potential of an ultraviolet, medium-footprint lidar prototype for retrieving forest structure. ISPRS Journal of Photogrammetry and Remote Sensing. 66(6). S92–S102. 5 indexed citations

Allouis, T., Jean‐Stéphane Bailly, Yves Pastol, & Catherine Le Roux. (2010). Comparison of LiDAR waveform processing methods for very shallow water bathymetry using Raman, near‐infrared and green signals. Earth Surface Processes and Landforms. 35(6). 640–650. 97 indexed citations

Cuesta, Juan, Patrick Chazette, T. Allouis, et al.. (2010). Observing the Forest Canopy with a New Ultra-Violet Compact Airborne Lidar. Sensors. 10(8). 7386–7403. 13 indexed citations

10.

Bailly, Jean‐Stéphane, et al.. (2010). Geostatistical estimations of bathymetric LiDAR errors on rivers. Earth Surface Processes and Landforms. 35(10). 1199–1210. 61 indexed citations

11.

Vega, Cédric, Sylvie Durrieu, Frédéric Bretar, et al.. (2009). Advanced full-waveform lidar data echo detection: Assessing quality of derived terrain and tree height models in an alpine coniferous forest. International Journal of Remote Sensing. 30(19). 5211–5228. 90 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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