László Mucsi

975 total citations · 1 hit paper
41 papers, 655 citations indexed

About

László Mucsi is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, László Mucsi has authored 41 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, 17 papers in Environmental Engineering and 13 papers in Global and Planetary Change. Recurrent topics in László Mucsi's work include Remote Sensing in Agriculture (18 papers), Remote-Sensing Image Classification (10 papers) and Land Use and Ecosystem Services (10 papers). László Mucsi is often cited by papers focused on Remote Sensing in Agriculture (18 papers), Remote-Sensing Image Classification (10 papers) and Land Use and Ecosystem Services (10 papers). László Mucsi collaborates with scholars based in Hungary, Uzbekistan and Vietnam. László Mucsi's co-authors include Nizom Farmonov, Khilola Amankulova, Dariush Abbasi‐Moghadam, Alireza Sharifi, József Szatmári, János Unger, Boudewijn van Leeuwen, Ágnes Gulyás, Zoltán Sümeghy and Carsten Jürgens and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

László Mucsi

37 papers receiving 626 citations

Hit Papers

Crop Type Classification by DESIS Hyperspectral Imagery a... 2023 2026 2024 2025 2023 25 50 75 100
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. Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms
    2023 106 citations Nizom Farmonov, Khilola Amankulova et al. IEEE Journal of Selected Topics in Applied Earth Observations 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
László Mucsi Hungary 15 238 226 206 156 142 41 655
Shaohui Chen China 16 318 1.3× 213 0.9× 393 1.9× 221 1.4× 163 1.1× 73 912
Filiz Bektaş Balçık Türkiye 13 250 1.1× 318 1.4× 373 1.8× 144 0.9× 82 0.6× 37 703
Stavros Stagakis Greece 10 294 1.2× 323 1.4× 255 1.2× 94 0.6× 64 0.5× 30 589
Mohsen Azadbakht Iran 17 396 1.7× 432 1.9× 311 1.5× 226 1.4× 101 0.7× 32 905
Ying Yu China 15 238 1.0× 217 1.0× 208 1.0× 129 0.8× 144 1.0× 51 666
Zhangquan Shen China 13 137 0.6× 192 0.8× 216 1.0× 102 0.7× 132 0.9× 34 527
Mustafa Üstüner Türkiye 11 295 1.2× 359 1.6× 222 1.1× 172 1.1× 183 1.3× 36 730
Zhuokun Pan China 8 195 0.8× 345 1.5× 253 1.2× 155 1.0× 144 1.0× 12 651
Yueming Hu China 13 251 1.1× 368 1.6× 256 1.2× 163 1.0× 66 0.5× 45 845
Xiwang Zhang China 14 140 0.6× 298 1.3× 229 1.1× 105 0.7× 67 0.5× 30 550

Countries citing papers authored by László Mucsi

Since Specialization
Citations

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

Fields of papers citing papers by László Mucsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Mucsi

This figure shows the co-authorship network connecting the top 25 collaborators of László Mucsi. A scholar is included among the top collaborators of László Mucsi 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 László Mucsi. László Mucsi 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.
Amankulova, Khilola, Nizom Farmonov, József Szatmári, et al.. (2024). A Novel Fusion Method for Soybean Yield Prediction Using Sentinel-2 and PlanetScope Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 13694–13707. 6 indexed citations
2.
Farmonov, Nizom, et al.. (2024). Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting. Hungarian Geographical Bulletin. 72(4). 383–398. 5 indexed citations
3.
4.
Mucsi, László, et al.. (2023). Evaluating the performance of multi-temporal synthetic-aperture radar imagery in land-cover mapping using a forward stepwise selection approach. Remote Sensing Applications Society and Environment. 30. 100975–100975.
5.
Mucsi, László, et al.. (2022). Predicting the future land-use change and evaluating the change in landscape pattern in Binh Duong province, Vietnam. Hungarian Geographical Bulletin. 71(4). 349–364. 3 indexed citations
6.
Amankulova, Khilola, Nizom Farmonov, & László Mucsi. (2022). Time-series analysis of Sentinel-2 satellite images for sunflower yield estimation. SHILAP Revista de lepidopterología. 3. 100098–100098. 21 indexed citations
7.
Abbasi‐Moghadam, Dariush, et al.. (2022). Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 254–266. 78 indexed citations
8.
9.
Leeuwen, Boudewijn van, et al.. (2020). INTEGRATION OF GIS AND ADVANCED REMOTE SENSING TECHNIQUES FOR LANDSLIDE HAZARD ASSESSMENT: A CASE STUDY OF NORTHWEST SYRIA. SHILAP Revista de lepidopterología. VI-3/W1-2020. 27–34. 6 indexed citations
10.
Mucsi, László, et al.. (2019). LANDSLIDE INVESTIGATION USING DIFFERENTIAL SYNTHETIC APERTURE RADAR INTERFEROMETRY: A CASE STUDY OF BALLORAN DAM AREA IN SYRIA. SHILAP Revista de lepidopterología. XLII-3/W8. 133–138. 3 indexed citations
11.
Mucsi, László, et al.. (2019). A CORINE felszínborítási térkép automatikus előállításának lehetősége döntésifa-osztályozó segítségével. SZTE Publicatio Repozitórium (University of Szeged). 71(2). 9–13. 1 indexed citations
12.
Mucsi, László, et al.. (2018). Land Cover Change Investigation in the Southern Syrian Coastal Basins During the Past 30-Years Using Landsat Remote Sensing Data. SHILAP Revista de lepidopterología. 11(1-2). 45–51. 14 indexed citations
13.
Leeuwen, Boudewijn van, et al.. (2018). Ground- surface deformation investigation in Paks NPP area in Hungary using D-InSAR and PSI techniques. SZTE Publicatio Repozitórium (University of Szeged). 1 indexed citations
14.
Mucsi, László, et al.. (2017). Monitoring the changes in impervious surface ratio and urban heat island intensity between 1987 and 2011 in Szeged, Hungary. Environmental Monitoring and Assessment. 189(2). 86–86. 24 indexed citations
15.
Mucsi, László, et al.. (2016). Inland excess water mapping using hyperspectral imagery. Geographica Pannonica. 20(4). 191–196. 7 indexed citations
16.
Mucsi, László, et al.. (2016). Identification and Spectral Evaluation of Agricultural Crops on Hyperspectral Airborne Data. SHILAP Revista de lepidopterología. 9(3-4). 49–53. 5 indexed citations
17.
Mucsi, László, et al.. (2013). The Advantages of Using Sequential Stochastic Simulations when Mapping Small-Scale Heterogeneities of the Groundwater Level. SHILAP Revista de lepidopterología. 6(3-4). 39–47. 5 indexed citations
18.
Unger, János, Tamás Gál, László Mucsi, et al.. (2010). Modeling of the urban heat island pattern based on the relationship between surface and air temperatures. 114(4). 287–302. 33 indexed citations
19.
Mucsi, László, et al.. (2010). Creating excess water inundation maps by sub-pixel classification of medium resolution satellite images. 3(1-4). 31–40. 8 indexed citations
20.
Szatmári, József, et al.. (2008). Extraction of digital surface models from CORONA satellite stereo images. SZTE Publicatio Repozitórium (University of Szeged). 1(1-2). 5–10. 6 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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