Carlo Vallati

2.1k citations
100 papers · 1.4k indexed · h-index 21
Topics
IoT and Edge/Fog Computing (42 papers)Energy Efficient Wireless Sensor Networks (25 papers)IoT Networks and Protocols (17 papers)
Journals
SHILAP Revista de lepidopterologíaApplied EnergyIEEE Access
Partner nations
ItalyUnited StatesSpain

In The Last Decade

Carlo Vallati

94 papers receiving 1.4k citations

Peers

Carlo Vallati
Comparison fields: 5 of 95
  • Computer Networks and Communications 1.0k
  • Electrical and Electronic Engineering 443
  • Information Systems 315
  • Computer Vision and Pattern Recognition 154
  • Biomedical Engineering 126
Replace Yasuo Tan with:
Yasuo Tan Japan
Manuel Suárez-Albela Spain
Erkki Harjula Finland
Hakima Chaouchi France
Maria Laura Stefanizzi Italy
Srimal Jayawardena Australia
B. D. Deebak India
Arka Bhattacharya United States
Hui Suo China
Ki‐Hyung Kim South Korea
Carlo Vallati relative to Yasuo Tan Japan Yasuo Tan's profile →
Citations per field
00.5×3.6×
Yasuo Tan · 1×
Citations per year

Countries citing papers authored by Carlo Vallati

Since Specialization
Citations

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

Fields of papers citing papers by Carlo Vallati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlo Vallati

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Vallati. A scholar is included among the top collaborators of Carlo Vallati 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 Carlo Vallati. Carlo Vallati 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
#WorkIndexed citations
1 1
2 0
3 2
4 3
5 2
6 0
7 4
8 6
9 4
10 87
11 30
12
Automating Large-Scale Simulation and Data Analysis with OMNeT++: Lession Learned and Future Perspectives
1
13 1
14 52
15 2
16 11
17
An open framework for accessing Things as a service
11
18 4
19
Investigation of scalable video delivery using H.264 SVC on an LTE network
11
20 1

About Carlo Vallati

Carlo Vallati is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 100 papers that have together received 1.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (42 papers), Energy Efficient Wireless Sensor Networks (25 papers) and IoT Networks and Protocols (17 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Information Systems (315 citations) and Electrical and Electronic Engineering (443 citations). Carlo Vallati has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Enzo Mingozzi, Giuseppe Anastasi, Giacomo Tanganelli, Pericle Perazzo, Gianluca Dini, Antonio Virdis, Sajal K. Das, Giovanni Stea, Giovanni Merlino and Emilio Ancillotti. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and IEEE Access.

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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