László Mucsi

40 papers receiving 733 citations

László Mucsi's Hit Papers

Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms 2023 · 117 citations
1170+1+2Years since publication255075100

Peers

László Mucsi
Comparison fields: 5 of 80
  • Media Technology 161
  • Environmental Engineering 249
  • Global and Planetary Change 220
  • Ecology 247
  • Atmospheric Science 169
Replace Shaohui Chen with:
Shaohui Chen China
Mustafa Üstüner Türkiye
Mohsen Azadbakht Iran
Cheng-Ru Chen Taiwan
Stavros Stagakis Greece
Filiz Bektaş Balçık Türkiye
Jong‐Min Yeom South Korea
Hossein Aghighi Iran
Zhuokun Pan China
Khaled Abutaleb South Africa
László Mucsi relative to Shaohui Chen China Shaohui Chen's profile →
Citations per field
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Shaohui Chen · 1×
Citations per year

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-authors

The 25 scholars most cited alongside László Mucsi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with László Mucsi Line = papers co-authored together László Mucsi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms
Hit paper breakdown →
2023117
2 202289
3 200173
4 202461
5 201638
6 202037
7
Modeling of the urban heat island pattern based on the relationship between surface and air temperatures
201033
8 202330
9 201727
10 202323
11 202223
12 202122
13 202321
14 202219
15
Air Temperature Versus Surface Temperature in Urban Environment
201418
16 202415
17 201814
18 201710
19 20109
20 20168

About László Mucsi

László Mucsi is a scholar working on Environmental Engineering, Media Technology, Ecology, Global and Planetary Change and Atmospheric Science, having authored 43 papers that have together received 764 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (18 papers), Remote Sensing and Land Use (10 papers), Land Use and Ecosystem Services (10 papers), Remote-Sensing Image Classification (10 papers), Remote Sensing and LiDAR Applications (7 papers), Smart Agriculture and AI (7 papers), Urban Heat Island Mitigation (6 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Media Technology (161 citations), Environmental Engineering (249 citations), Global and Planetary Change (220 citations), Ecology (247 citations) and Atmospheric Science (169 citations). László Mucsi has collaborated with scholars based in Hungary, Uzbekistan and Vietnam. Frequent co-authors include Nizom Farmonov, Khilola Amankulova, Alireza Sharifi, Dariush Abbasi‐Moghadam, József Szatmári, János Unger, Zoltán Sümeghy, Ágnes Gulyás, Boudewijn van Leeuwen and Carsten Jürgens. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Hungarian Geographical Bulletin, Remote Sensing, Geocarto International and Geo-spatial Information Science.

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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