Tomáš Bucha

701 total citations
37 papers, 553 citations indexed

About

Tomáš Bucha is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Tomáš Bucha has authored 37 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 18 papers in Nature and Landscape Conservation and 16 papers in Ecology. Recurrent topics in Tomáš Bucha's work include Remote Sensing and LiDAR Applications (20 papers), Forest ecology and management (17 papers) and Remote Sensing in Agriculture (16 papers). Tomáš Bucha is often cited by papers focused on Remote Sensing and LiDAR Applications (20 papers), Forest ecology and management (17 papers) and Remote Sensing in Agriculture (16 papers). Tomáš Bucha collaborates with scholars based in Slovakia, United Kingdom and Czechia. Tomáš Bucha's co-authors include Milan Koreň, Ivan Barka, Martin Mokroš, Tomáš Hlásny, Ladislav Kulla, Hans‐Jürgen Stibig, Rastislav Jakuš, Ján Ferenčík, Jiří Trombik and Miloš Gejdoš and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Sensors.

In The Last Decade

Tomáš Bucha

36 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomáš Bucha Slovakia 16 233 232 227 213 132 37 553
Paweł Hawryło Poland 13 225 1.0× 312 1.3× 281 1.2× 203 1.0× 65 0.5× 43 552
Anthony G. Vorster United States 9 315 1.4× 308 1.3× 301 1.3× 210 1.0× 73 0.6× 19 669
She Guang-hui China 12 149 0.6× 503 2.2× 300 1.3× 330 1.5× 147 1.1× 33 653
Doo-Ahn Kwak South Korea 12 191 0.8× 455 2.0× 278 1.2× 324 1.5× 138 1.0× 31 617
Dimitry Van der Zande Belgium 13 221 0.9× 463 2.0× 378 1.7× 264 1.2× 93 0.7× 25 748
Kazukiyo Yamamoto Japan 11 132 0.6× 223 1.0× 138 0.6× 189 0.9× 106 0.8× 35 453
M. Bouvier France 6 199 0.9× 506 2.2× 265 1.2× 355 1.7× 224 1.7× 8 667
Masato Katoh Japan 12 132 0.6× 390 1.7× 256 1.1× 199 0.9× 117 0.9× 34 545
Qiuli Yang China 10 134 0.6× 379 1.6× 302 1.3× 182 0.9× 58 0.4× 17 567
Alfonso Fernández-Sarría Spain 13 157 0.7× 345 1.5× 275 1.2× 165 0.8× 66 0.5× 29 642

Countries citing papers authored by Tomáš Bucha

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Bucha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomáš Bucha

This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Bucha. A scholar is included among the top collaborators of Tomáš Bucha 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 Tomáš Bucha. Tomáš Bucha 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.
Bucha, Tomáš, et al.. (2024). Identification of drought-induced forest damage in 2022 and of its key site condition drivers through satellite imagery. SHILAP Revista de lepidopterología. 70(3). 156–175. 1 indexed citations
2.
Bucha, Tomáš, et al.. (2024). Satellite Assessment of Forest Health in Drought Conditions: A Novel Approach Combining Defoliation and Discolouration. Forests. 15(9). 1567–1567. 2 indexed citations
3.
Bucha, Tomáš, et al.. (2023). Trends and driving forces of spring phenology of oak and beech stands in the Western Carpathians from MODIS times series 2000-2021. iForest - Biogeosciences and Forestry. 16(6). 334–344. 3 indexed citations
4.
Gejdoš, Miloš, et al.. (2023). The Accuracy of CT Scanning in the Assessment of the Internal and External Qualitative Features of Wood Logs. Sensors. 23(20). 8505–8505. 6 indexed citations
5.
Bucha, Tomáš, et al.. (2022). Computed Tomography as a Tool for Quantification and Classification of Roundwood—Case Study. Forests. 13(7). 1042–1042. 6 indexed citations
6.
Bucha, Tomáš, et al.. (2021). Innovative methods of non-destructive evaluation of log quality. SHILAP Revista de lepidopterología. 67(1). 3–13. 17 indexed citations
7.
Bucha, Tomáš, et al.. (2021). Woody Above-Ground Biomass Estimation on Abandoned Agriculture Land Using Sentinel-1 and Sentinel-2 Data. Remote Sensing. 13(13). 2488–2488. 10 indexed citations
8.
Bucha, Tomáš, et al.. (2021). Changes in the Greenness of Mountain Pine (Pinus mugo Turra) in the Subalpine Zone Related to the Winter Climate. Remote Sensing. 13(9). 1788–1788. 9 indexed citations
9.
Bucha, Tomáš, et al.. (2020). Prediction Model of Wooden Logs Cutting Patterns and Its Efficiency in Practice. Applied Sciences. 10(9). 3003–3003. 5 indexed citations
10.
Barka, Ivan, et al.. (2020). Mapping Aboveground Woody Biomass on Abandoned Agricultural Land Based on Airborne Laser Scanning Data. Remote Sensing. 12(24). 4189–4189. 12 indexed citations
11.
Gejdoš, Miloš, et al.. (2019). Possibilities of image analysis for quality wood sorting. SHILAP Revista de lepidopterología. 65(3-4). 218–222. 4 indexed citations
12.
Feranec, Ján, Tomáš Bucha, Miloš Rusnák, et al.. (2019). A Review of the Application of Remote Sensing Data for Abandoned Agricultural Land Identification with Focus on Central and Eastern Europe. Remote Sensing. 11(23). 2759–2759. 44 indexed citations
13.
Barka, Ivan, et al.. (2019). Suitability of MODIS-based NDVI index for forest monitoring and its seasonal applications in Central Europe. SHILAP Revista de lepidopterología. 65(3-4). 206–217. 15 indexed citations
14.
Bucha, Tomáš, et al.. (2019). Computed tomography log scanning – high technology for forestry and forest based industry. SHILAP Revista de lepidopterología. 65(1). 51–59. 17 indexed citations
15.
Barka, Ivan, et al.. (2018). Remote sensing-based forest health monitoring systems – case studies from Czechia and Slovakia. SHILAP Revista de lepidopterología. 19 indexed citations
16.
Hlásny, Tomáš, et al.. (2017). Integration of tree allometry rules to treetops detection and tree crowns delineation using airborne lidar data. iForest - Biogeosciences and Forestry. 10(2). 458–467. 23 indexed citations
17.
Santopuoli, Giovanni, et al.. (2016). Forest Inventory Attribute Prediction Using Lightweight Aerial Scanner Data in a Selected Type of Multilayered Deciduous Forest. Forests. 7(12). 307–307. 20 indexed citations
18.
Bucha, Tomáš, et al.. (2013). Zhodnotenie zdravotného stavu lesov v inundačnej oblasti Dunaja v úseku Dobrohošt – Sap z leteckých multispektrálnych snímok z roku 2011. SHILAP Revista de lepidopterología. 59(2). 1 indexed citations
19.
Bucha, Tomáš & Hans‐Jürgen Stibig. (2008). Analysis of MODIS imagery for detection of clear cuts in the boreal forest in north-west Russia. Remote Sensing of Environment. 112(5). 2416–2429. 32 indexed citations
20.
Bucha, Tomáš. (1999). Classification of tree species composition in Slovakia from satellite images as a part of monitoring of forest ecosystem biodiversity. 3 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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