Danilo Pau

1.6k citations
142 papers · 968 · h-index 16

Impact in

Papers in

Danilo Pau

128 papers receiving 941 citations

Peers

Danilo Pau
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 354
  • Signal Processing 119
  • Computer Networks and Communications 178
  • Automotive Engineering 78
  • Artificial Intelligence 212
Replace Ciarán Hughes with:
Ciarán Hughes Ireland
Jinwon Lee South Korea
Hai Zhu China
R.C. Luo Taiwan
Alfredo Gardel Spain
Gene Eu Jan Taiwan
Chunsheng Liu China
Tsung‐Han Tsai Taiwan
Huadong Wu United States
Xue Liu China
Danilo Pau relative to Ciarán Hughes Ireland Ciarán Hughes's profile →
Citations per field
00.5×4.3×
Ciarán Hughes · 1×
Citations per year

Countries citing papers authored by Danilo Pau

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Pau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202074
2 201853
3 202249
4 202143
5 200238
6 202131
7 201531
8 201930
9 202026
10 200024
11 202024
12 202023
13 202223
14 201823
15 201620
16 201917
17 201914
18 201813
19 202113
20 202312

About Danilo Pau

Danilo Pau is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering, having authored 142 papers that have together received 968 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (17 papers), Neural Networks and Applications (15 papers), Robotics and Sensor-Based Localization (13 papers), Advanced Image and Video Retrieval Techniques (12 papers), Anomaly Detection Techniques and Applications (12 papers), Context-Aware Activity Recognition Systems (11 papers), CCD and CMOS Imaging Sensors (10 papers) and Advanced Memory and Neural Computing (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (354 citations), Signal Processing (119 citations), Computer Networks and Communications (178 citations), Automotive Engineering (78 citations) and Artificial Intelligence (212 citations). Danilo Pau has collaborated with scholars based in Italy, Switzerland and Czechia. Frequent co-authors include Gian Domenico Licciardo, Luigi Di Benedetto, Giambattista Gruosso, Claudio Turchetti, Laura Falaschetti, Valeria Tomaselli, Antonio Chimienti, Marco Piastra, Claudia Ferraris and Alfredo Rubino. Their work appears in journals such as Electronics, Data in Brief, IEEE Transactions on Consumer Electronics, IEEE Access and IEEE Transactions on Circuits & Systems II Express Briefs.

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.

Explore authors with similar magnitude of impact