Andrea Tassi

1.3k citations
37 papers · 709 indexed · 1 hit paper · h-index 12

Andrea Tassi

36 papers receiving 696 citations

Hit Papers

Object-Oriented LULC Classification in Google Earth Engin...275202020262022202450100150200250

Peers

Andrea Tassi
Comparison fields: 5 of 85
  • Computer Networks and Communications 260
  • Global and Planetary Change 225
  • Ecology 246
  • Environmental Engineering 118
  • Media Technology 70
Replace Jorma Kilpi with:
Jorma Kilpi Finland
A. Christy India
Jianjun Bai China
Gourav Misra India
Xiaomin Jin China
Huping Ye China
Sofia Siachalou Greece
Fan Xia China
Burak Berk Üstündağ Türkiye
Carl Seielstad United States
Andrea Tassi relative to Jorma Kilpi Finland Jorma Kilpi's profile →
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-authorship network

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
#Work
1 20251
2 20250
3 20243
4 202211
5 20225
6 202186
7
Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithmsbreakdown →
2020275
8 20191
9 201911
10 20195
11 201911
12
201818
13 201410
14 20143
15 201316
16 20131
17 20136
18 20133
19 201210
20 20102

About Andrea Tassi

Andrea Tassi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, Media Technology and Global and Planetary Change, having authored 37 papers that have together received 709 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), Mobile Ad Hoc Networks (4 papers), Advanced Wireless Communication Technologies (4 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers), Land Use and Ecosystem Services (4 papers) and Opportunistic and Delay-Tolerant Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (260 citations), Global and Planetary Change (225 citations), Ecology (246 citations), Environmental Engineering (118 citations) and Media Technology (70 citations). Andrea Tassi has collaborated with scholars based in United Kingdom, Italy 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, Remote Sensing, Wireless Communications and Mobile Computing, IEEE Communications Letters and IEEE Journal on Selected Areas in 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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