Tomàs Pallejà

1.6k total citations
51 papers, 1.2k citations indexed

About

Tomàs Pallejà is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Tomàs Pallejà has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Biomedical Engineering. Recurrent topics in Tomàs Pallejà's work include Plant Surface Properties and Treatments (10 papers), Remote Sensing and LiDAR Applications (7 papers) and Horticultural and Viticultural Research (7 papers). Tomàs Pallejà is often cited by papers focused on Plant Surface Properties and Treatments (10 papers), Remote Sensing and LiDAR Applications (7 papers) and Horticultural and Viticultural Research (7 papers). Tomàs Pallejà collaborates with scholars based in Spain, United States and Switzerland. Tomàs Pallejà's co-authors include Jordi Palacín, Marcel Tresánchez, Mercè Teixidó, Andrew Landers, Davinia Font, Ricardo Sanz, Joan R. Rosell-Polo, Dani Martínez, Jaume Arnó and Alexandre Escolà and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Tomàs Pallejà

49 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomàs Pallejà Spain 20 497 308 253 206 179 51 1.2k
Marcel Tresánchez Spain 17 296 0.6× 129 0.4× 128 0.5× 184 0.9× 172 1.0× 48 889
Chao Qu United States 17 407 0.8× 125 0.4× 144 0.6× 340 1.7× 167 0.9× 39 1.3k
Flavio Prieto Colombia 20 311 0.6× 119 0.4× 123 0.5× 322 1.6× 179 1.0× 139 1.5k
Filipe Neves dos Santos Portugal 20 815 1.6× 172 0.6× 188 0.7× 358 1.7× 98 0.5× 102 1.4k
Guodong Yang China 16 776 1.6× 171 0.6× 204 0.8× 482 2.3× 195 1.1× 92 1.8k
Miguel Torres‐Torriti Chile 19 273 0.5× 122 0.4× 103 0.4× 282 1.4× 107 0.6× 79 969
Jordi Palacín Spain 26 683 1.4× 576 1.9× 436 1.7× 482 2.3× 341 1.9× 101 2.2k
Baohua Zhang China 23 764 1.5× 107 0.3× 133 0.5× 126 0.6× 481 2.7× 46 1.7k
Yunong Tian China 11 809 1.6× 113 0.4× 174 0.7× 306 1.5× 139 0.8× 34 1.4k

Countries citing papers authored by Tomàs Pallejà

Since Specialization
Citations

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

Fields of papers citing papers by Tomàs Pallejà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomàs Pallejà

This figure shows the co-authorship network connecting the top 25 collaborators of Tomàs Pallejà. A scholar is included among the top collaborators of Tomàs Pallejà 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 Tomàs Pallejà. Tomàs Pallejà 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.
Tresánchez, Marcel, et al.. (2025). Integrated Multi-Sensor Device for Police Firearm Real-Time Monitoring. IEEE Access. 13. 153798–153816.
2.
Pallejà, Tomàs, et al.. (2025). Environmental sound recognition on embedded devices using deep learning: a review. Artificial Intelligence Review. 58(6). 2 indexed citations
3.
Palacín, Jordi, David Martínez, Eduard Clotet, et al.. (2019). Application of an Array of Metal-Oxide Semiconductor Gas Sensors in an Assistant Personal Robot for Early Gas Leak Detection. Sensors. 19(9). 1957–1957. 64 indexed citations
4.
Tresánchez, Marcel, Tomàs Pallejà, & Jordi Palacín. (2019). Optical Mouse Sensor for Eye Blink Detection and Pupil Tracking: Application in a Low-Cost Eye-Controlled Pointing Device. Journal of Sensors. 2019. 1–19. 11 indexed citations
5.
Tresánchez, Marcel, et al.. (2019). An inexpensive wireless smart camera system for IoT applications based on an ARM Cortex-M7 microcontroller. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 11(2). 1–8. 5 indexed citations
6.
Pallejà, Tomàs, et al.. (2017). Measuring crop canopy – the development of a dynamic system for precision fruit crop spraying. Advances in Animal Biosciences. 8(2). 250–254. 5 indexed citations
7.
Pallejà, Tomàs, et al.. (2016). Orchard and vineyard real time spraying adjustments using ultrasonic echoes.. Aspects of applied biology. 405–410. 2 indexed citations
8.
Moreno–Valenzuela, Javier, et al.. (2016). Experimental Characterization of the Twin-Eye Laser Mouse Sensor. Journal of Sensors. 2016. 1–8. 1 indexed citations
9.
Pallejà, Tomàs, et al.. (2015). Precision fruit spraying: measuring canopy density and volume for air and liquid control. Julius-Kühn-Archiv. 76–76. 2 indexed citations
10.
Font, Davinia, Marcel Tresánchez, Tomàs Pallejà, et al.. (2014). An image processing method for in-line nectarine variety verification based on the comparison of skin feature histogram vectors. Computers and Electronics in Agriculture. 102. 112–119. 12 indexed citations
11.
Pallejà, Tomàs, et al.. (2013). Project-Based Learning Example: Controlling an Educational Robotic Arm With Computer Vision. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje. 8(3). 135–142. 21 indexed citations
12.
Teixidó, Mercè, Davinia Font, Tomàs Pallejà, et al.. (2012). Definition of Linear Color Models in the RGB Vector Color Space to Detect Red Peaches in Orchard Images Taken under Natural Illumination. Sensors. 12(6). 7701–7718. 47 indexed citations
13.
Teixidó, Mercè, Tomàs Pallejà, Davinia Font, et al.. (2012). Two-Dimensional Radial Laser Scanning for Circular Marker Detection and External Mobile Robot Tracking. Sensors. 12(12). 16482–16497. 13 indexed citations
14.
Pallejà, Tomàs, et al.. (2011). Implementation of a robust absolute virtual head mouse combining face detection, template matching and optical flow algorithms. Telecommunication Systems. 52(3). 1479–1489. 15 indexed citations
15.
Pallejà, Tomàs, Mercè Teixidó, Marcel Tresánchez, & Jordi Palacín. (2009). Measuring Gait Using a Ground Laser Range Sensor. Sensors. 9(11). 9133–9146. 43 indexed citations
16.
Rosell-Polo, Joan R., Ricardo Sanz, Jordi Llorens, et al.. (2008). A tractor-mounted scanning LIDAR for the non-destructive measurement of vegetative volume and surface area of tree-row plantations: A comparison with conventional destructive measurements. Biosystems Engineering. 102(2). 128–134. 160 indexed citations
17.
Pallejà, Tomàs, et al.. (2008). Using the Optical Flow to Implement a Relative Virtual Mouse Controlled by Head Movements. JUCS - Journal of Universal Computer Science. 14. 3127–3141. 25 indexed citations
18.
Pallejà, Tomàs, et al.. (2008). Simple and Robust Implementation of a Relative Virtual Mouse Controlled by Head Movements. q2. 221–224. 7 indexed citations
19.
Tresánchez, Marcel, Tomàs Pallejà, Mercè Teixidó, & Jordi Palacín. (2007). Estimating a room size using encoders and collision detectors: application to a cleaning mobile robot. 2. 1–6. 1 indexed citations
20.
Palacín, Jordi, Tomàs Pallejà, Marcel Tresánchez, et al.. (2007). Real-Time Tree-Foliage Surface Estimation Using a Ground Laser Scanner. IEEE Transactions on Instrumentation and Measurement. 56(4). 1377–1383. 59 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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