S. Casale

720 citations
61 papers · 490 · h-index 10

Impact in

Papers in

S. Casale

52 papers receiving 440 citations

Peers

S. Casale
Comparison fields: 5 of 64
  • Signal Processing 329
  • Experimental and Cognitive Psychology 84
  • Artificial Intelligence 213
  • Computational Mechanics 121
  • Computer Vision and Pattern Recognition 115
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Yingyong Qi United States
Thomas W. Parsons United Kingdom
W. Verhelst Belgium
C. A. McGonegal United States
Shingo Kuroiwa Japan
Soundararajan Srinivasan United States
Nasir Saleem Pakistan
Jonathan G. Fiscus United States
A. Alwan United States
Mohamad Hasan Bahari Belgium
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Citations per field
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Citations per year

Countries citing papers authored by S. Casale

Since Specialization
Citations

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

Fields of papers citing papers by S. Casale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside S. Casale, 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 S. Casale Line = papers co-authored together S. Casale links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199895
2 200866
3 200255
4 200738
5 200629
6 200222
7 200213
8 200213
9 200412
10 199510
11 20078
12 19998
13 20058
14 20027
15 20027
16 20016
17 20026
18 20065
19 20105
20 20025

About S. Casale

S. Casale is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 61 papers that have together received 490 indexed citations. Recurring topics across this work include Speech and Audio Processing (32 papers), Advanced Data Compression Techniques (18 papers), Speech Recognition and Synthesis (16 papers), Advanced Adaptive Filtering Techniques (13 papers), Wireless Communication Networks Research (8 papers), Network Traffic and Congestion Control (8 papers), Music and Audio Processing (7 papers) and Advanced Optical Network Technologies (6 papers). The work is most often cited by research in Signal Processing (329 citations), Experimental and Cognitive Psychology (84 citations), Artificial Intelligence (213 citations), Computational Mechanics (121 citations) and Computer Vision and Pattern Recognition (115 citations). S. Casale has collaborated with scholars based in Italy and Russia. Frequent co-authors include Francesco Beritelli, Salvatore Serrano, Alessandra Russo, Giuseppe Ruggeri, Marco Russo, Vincenzo Catania, L. Vita, Aurelio La Corte, Alfio Lombardo and S. Alfonzetti. Their work appears in journals such as Computer Communications, Speech Communication, Electronics Letters, European Transactions on Telecommunications and IEEE Communications Letters.

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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