L. Paura
Impact in
- Signal Processing top 5%
- Blind Source Separation Techniques
- Speech and Audio Processing
-
- Wireless Communication Networks Research
- Distributed Sensor Networks and Detection Algorithms
Papers in
-
- Advanced Wireless Communication Techniques 16
- Power Line Communications and Noise 13
-
- Wireless Communication Networks Research 15
- Distributed Sensor Networks and Detection Algorithms 7
- Co-authors
- Giacinto Gelli (17 shared papers)Irina Arhipova (17 shared papers)Luciano Izzo (14 shared papers)Francesco Verde (9 shared papers)Davide Mattera (7 shared papers)A.R.P. Ragozini (1 shared paper)Donatella Darsena (7 shared papers)Antonia M. Tulino (1 shared paper)
In The Last Decade
L. Paura
76 papers receiving 749 citations
Peers
Comparison fields: 5 of 98
- Signal Processing 168
- Computer Networks and Communications 281
- Computer Science Applications 42
- Electrical and Electronic Engineering 307
- Computational Mechanics 80
Countries citing papers authored by L. Paura
This map shows the geographic impact of L. Paura'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 L. Paura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Paura more than expected).
Fields of papers citing papers by L. Paura
This network shows the impact of papers produced by L. Paura. 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 L. Paura. The network helps show where L. Paura may publish in the future.
Co-authors
The 25 scholars most cited alongside L. Paura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 94 | |
| 2 | 2000 | 64 | |
| 3 | 1998 | 45 | |
| 4 | 2005 | 39 | |
| 5 | 2012 | 33 | |
| 6 | 2005 | 31 | |
| 7 | 1992 | 29 | |
| 8 | 1992 | 29 | |
| 9 | 1996 | 24 | |
| 10 | 1982 | 18 | |
| 11 | 2003 | 17 | |
| 12 | 2005 | 17 | |
| 13 | 2014 | 16 | |
| 14 | 1986 | 16 | |
| 15 | 1984 | 16 | |
| 16 | 2009 | 15 | |
| 17 | 2004 | 15 | |
| 18 | 2008 | 15 | |
| 19 | 2015 | 15 | |
| 20 | 2022 | 15 |
About L. Paura
L. Paura is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Genetics, Signal Processing and Agronomy and Crop Science, having authored 82 papers that have together received 821 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (16 papers), Wireless Communication Networks Research (15 papers), Genetic and phenotypic traits in livestock (13 papers), Power Line Communications and Noise (13 papers), Blind Source Separation Techniques (9 papers), Speech and Audio Processing (8 papers), Advanced Adaptive Filtering Techniques (7 papers) and Distributed Sensor Networks and Detection Algorithms (7 papers). The work is most often cited by research in Signal Processing (168 citations), Computer Networks and Communications (281 citations), Computer Science Applications (42 citations), Electrical and Electronic Engineering (307 citations) and Computational Mechanics (80 citations). L. Paura has collaborated with scholars based in Latvia, Italy and China. Frequent co-authors include Giacinto Gelli, Irina Arhipova, Luciano Izzo, Francesco Verde, Davide Mattera, A.R.P. Ragozini, Donatella Darsena, Antonia M. Tulino, Giovanni Poggi and Mario Tanda. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications, Electronics Letters, IEEE Communications Letters and Small Ruminant Research.
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.