Andrea Tassi

1.4k citations
37 papers · 726 · 1 hit paper · h-index 12

Impact in

Papers in

Andrea Tassi

36 papers receiving 715 citations

Andrea Tassi's Hit Papers

Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms 2020 · 287 citations
2870+2+4Years since publication50100150200250

Peers

Andrea Tassi
Comparison fields: 5 of 78
  • Computer Networks and Communications 263
  • Global and Planetary Change 232
  • Ecology 250
  • Environmental Engineering 121
  • Media Technology 70
Replace Jorma Kilpi with:
Jorma Kilpi Finland
A. Christy India
Gourav Misra India
Xiaomin Jin China
Sofia Siachalou Greece
Fan Xia China
Burak Berk Üstündağ Türkiye
Carl Seielstad United States
Haitao Xiang China
S. Rangarajan United States
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Citations per field
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Citations per year

Countries citing papers authored by Andrea Tassi

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Tassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andrea Tassi, 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 Andrea Tassi Line = papers co-authored together Andrea Tassi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms
Hit paper breakdown →
2020287
2 202188
3 201455
4 201741
5 201431
6 201530
7 201918
8
201818
9 201316
10 201911
11 201911
12 202211
13 202011
14 201310
15 201210
16 201410
17 20119
18 20107
19 20137
20 20136

About Andrea Tassi

Andrea Tassi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Global and Planetary Change, Ecology and Hardware and Architecture, having authored 37 papers that have together received 726 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (16 papers), Advanced MIMO Systems Optimization (12 papers), Advanced Wireless Network Optimization (10 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Land Use and Ecosystem Services (4 papers), Advanced Wireless Communication Technologies (4 papers) and Mobile Ad Hoc Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (263 citations), Global and Planetary Change (232 citations), Ecology (250 citations), Environmental Engineering (121 citations) and Media Technology (70 citations). Andrea Tassi has collaborated with scholars based in Italy, United Kingdom and Serbia. Frequent co-authors include Marco Vizzari, Ioannis Chatzigeorgiou, Dejan Vukobratović, Romano Fantacci, Francesco Chiti, Luciano Di Martino, Giuseppe Modica, Daniela Gigante, Chadi Khirallah and Robert J. Piechocki. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Communications Letters, Wireless Communications and Mobile Computing, Remote Sensing and IEEE Wireless Communications.

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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