László Mucsi

37 papers receiving 661 citations

László Mucsi's Hit Papers

Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms 2023 · 110 citations
1100+1+2Years since publication255075100

Peers

László Mucsi
Comparison fields: 5 of 78
  • Media Technology 149
  • Environmental Engineering 238
  • Global and Planetary Change 210
  • Atmospheric Science 163
  • Ecology 230
Replace Shaohui Chen with:
Shaohui Chen China
Mustafa Üstüner Türkiye
Mohsen Azadbakht Iran
Cheng-Ru Chen Taiwan
Stavros Stagakis Greece
Zurui Ao China
Filiz Bektaş Balçık Türkiye
Jong‐Min Yeom South Korea
Hossein Aghighi Iran
Yingwei Sun China
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 42 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 →
2023110
2 202282
3 200169
4 202445
5 202036
6 201636
7
Modeling of the urban heat island pattern based on the relationship between surface and air temperatures
201033
8 202327
9 201725
10 202221
11 202320
12 202219
13 202118
14 202317
15
Air Temperature Versus Surface Temperature in Urban Environment
201417
16 201814
17 201710
18 202410
19 20108
20 20168

About László Mucsi

László Mucsi is a scholar working on Ecology, Environmental Engineering, Global and Planetary Change, Atmospheric Science and Media Technology, having authored 42 papers that have together received 685 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 (149 citations), Environmental Engineering (238 citations), Global and Planetary Change (210 citations), Atmospheric Science (163 citations) and Ecology (230 citations). László Mucsi has collaborated with scholars based in Hungary, Uzbekistan and Vietnam. Frequent co-authors include Khilola Amankulova, Nizom Farmonov, Alireza Sharifi, Dariush Abbasi‐Moghadam, József Szatmári, János Unger, Boudewijn van Leeuwen, Ágnes Gulyás, Zoltán Sümeghy 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 International Journal of Digital Earth.

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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