Jonáš Hruška

2.0k total citations · 1 hit paper
21 papers, 1.6k citations indexed

About

Jonáš Hruška is a scholar working on Environmental Engineering, Ecology and Plant Science. According to data from OpenAlex, Jonáš Hruška has authored 21 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 13 papers in Ecology and 8 papers in Plant Science. Recurrent topics in Jonáš Hruška's work include Remote Sensing and LiDAR Applications (15 papers), Remote Sensing in Agriculture (12 papers) and Horticultural and Viticultural Research (7 papers). Jonáš Hruška is often cited by papers focused on Remote Sensing and LiDAR Applications (15 papers), Remote Sensing in Agriculture (12 papers) and Horticultural and Viticultural Research (7 papers). Jonáš Hruška collaborates with scholars based in Portugal, Italy and Spain. Jonáš Hruška's co-authors include Joaquim J. Sousa, Luís Pádua, Emanuel Peres, Telmo Adão, Raul Morais, José Bessa, Pedro Marques, António Sousa, Juan M. Jurado and Francisco R. Feito and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Jonáš Hruška

21 papers receiving 1.5k citations

Hit Papers

align trajectories

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.

Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry

2017 933 citations Telmo Adão, Jonáš Hruška et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonáš Hruška Portugal	12	790	611	490	300	205	21	1.6k
Telmo Adão Portugal	16	894 1.1×	687 1.1×	626 1.3×	292 1.0×	255 1.2×	71	2.0k
Jan van Aardt United States	23	1.2k 1.5×	1.1k 1.8×	409 0.8×	281 0.9×	442 2.2×	107	2.1k
Luís Pádua Portugal	20	1.2k 1.6×	974 1.6×	846 1.7×	343 1.1×	356 1.7×	89	2.5k
Jinha Jung United States	26	1.1k 1.4×	735 1.2×	1.0k 2.1×	169 0.6×	256 1.2×	103	2.1k
Veraldo Liesenberg Brazil	25	1.3k 1.7×	1.1k 1.8×	465 0.9×	277 0.9×	539 2.6×	105	2.3k
Jere Kaivosoja Finland	15	769 1.0×	590 1.0×	398 0.8×	115 0.4×	175 0.9×	37	1.2k
‪Rama Rao Nidamanuri India	19	528 0.7×	394 0.6×	243 0.5×	338 1.1×	215 1.0×	104	1.1k
Lei Deng China	18	576 0.7×	468 0.8×	255 0.5×	183 0.6×	197 1.0×	57	1.1k
José Bessa Portugal	4	462 0.6×	293 0.5×	282 0.6×	250 0.8×	116 0.6×	6	1.0k
Shuo Shi China	24	977 1.2×	769 1.3×	566 1.2×	125 0.4×	251 1.2×	95	1.6k

Countries citing papers authored by Jonáš Hruška

Since Specialization

Citations

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

Fields of papers citing papers by Jonáš Hruška

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonáš Hruška

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

All Works

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20 of 20 papers shown

Sousa, Joaquim J., Piero Toscano, Alessandro Matese, et al.. (2022). UAV-Based Hyperspectral Monitoring Using Push-Broom and Snapshot Sensors: A Multisite Assessment for Precision Viticulture Applications. Sensors. 22(17). 6574–6574. 36 indexed citations

Jurado, Juan M., Luís Pádua, Jonáš Hruška, Francisco R. Feito, & Joaquim J. Sousa. (2021). An Efficient Method for Generating UAV-Based Hyperspectral Mosaics Using Push-Broom Sensors. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 6515–6531. 19 indexed citations

Guimarães, Nathalie, Luís Pádua, Telmo Adão, et al.. (2020). VisWebDrone: A Web Application for UAV Photogrammetry Based on Open-Source Software. ISPRS International Journal of Geo-Information. 9(11). 679–679. 5 indexed citations

Pádua, Luís, Jonáš Hruška, Telmo Adão, et al.. (2020). Digital Reconstitution of Road Traffic Accidents: A Flexible Methodology Relying on UAV Surveying and Complementary Strategies to Support Multiple Scenarios. International Journal of Environmental Research and Public Health. 17(6). 1868–1868. 16 indexed citations

Pádua, Luís, Telmo Adão, Jonáš Hruška, et al.. (2020). Vineyard Classification Using Machine Learning Techniques Applied to RGB-UAV Imagery. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 6309–6312. 11 indexed citations

Hruška, Jonáš, Luís Pádua, Telmo Adão, et al.. (2020). Target Influence on Ground Control Points (GCPs) Identification in Aerial Images. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 6487–6490. 3 indexed citations

Marques, Pedro, Luís Pádua, Telmo Adão, et al.. (2019). UAV-Based Automatic Detection and Monitoring of Chestnut Trees. Remote Sensing. 11(7). 855–855. 69 indexed citations

Hruška, Jonáš, Telmo Adão, Luís Pádua, et al.. (2019). EVALUATION OF MACHINE LEARNING TECHNIQUES IN VINE LEAVES DISEASE DETECTION: A PRELIMINARY CASE STUDY ON FLAVESCENCE DORÉE. SHILAP Revista de lepidopterología. XLII-3/W8. 151–156. 2 indexed citations

Adão, Telmo, Luís Pádua, Tatiana M. Pinho, et al.. (2019). MULTI-PURPOSE CHESTNUT CLUSTERS DETECTION USING DEEP LEARNING: A PRELIMINARY APPROACH. SHILAP Revista de lepidopterología. XLII-3/W8. 1–7. 5 indexed citations

10.

Pádua, Luís, Pedro Marques, Jonáš Hruška, et al.. (2018). Multi-Temporal Vineyard Monitoring through UAV-Based RGB Imagery. Remote Sensing. 10(12). 1907–1907. 62 indexed citations

11.

Pádua, Luís, Pedro Marques, Jonáš Hruška, et al.. (2018). Vineyard properties extraction combining UAS-based RGB imagery with elevation data. International Journal of Remote Sensing. 39(15-16). 5377–5401. 39 indexed citations

12.

Pádua, Luís, Pedro Marques, Telmo Adão, et al.. (2018). UAS-based imagery and photogrammetric processing for tree height and crown diameter extraction. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 87–91. 10 indexed citations

13.

Adão, Telmo, Luís Pádua, Jonáš Hruška, et al.. (2018). A pilot digital image processing approach for detecting vineyard parcels in Douro region through high-resolution aerial imagery. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 67–71. 1 indexed citations

14.

Hruška, Jonáš, Telmo Adão, Luís Pádua, et al.. (2018). Deep Learning-Based Methodological Approach for Vineyard Early Disease Detection Using Hyperspectral Data. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 9063–9066. 9 indexed citations

15.

Hruška, Jonáš, Telmo Adão, Luís Pádua, et al.. (2018). Machine learning classification methods in hyperspectral data processing for agricultural applications. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 137–141. 11 indexed citations

16.

Pádua, Luís, Telmo Adão, Jonáš Hruška, et al.. (2018). UAS-based photogrammetry of cultural heritage sites. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 7 indexed citations

17.

Pádua, Luís, Jonáš Hruška, Telmo Adão, et al.. (2017). UAS, sensors, and data processing in agroforestry: a review towards practical applications. International Journal of Remote Sensing. 38(8-10). 2349–2391. 260 indexed citations

18.

Pádua, Luís, Telmo Adão, Jonáš Hruška, et al.. (2017). Very high resolution aerial data to support multi-temporal precision agriculture information management. Procedia Computer Science. 121. 407–414. 23 indexed citations

19.

Adão, Telmo, Jonáš Hruška, Luís Pádua, et al.. (2017). Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry. Remote Sensing. 9(11). 1110–1110. 933 indexed citations breakdown →

20.

Pádua, Luís, Jonáš Hruška, José Bessa, et al.. (2017). Multi-Temporal Analysis of Forestry and Coastal Environments Using UASs. Remote Sensing. 10(1). 24–24. 30 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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