Daniel Roviras

104 papers receiving 1.3k citations

Peers

Daniel Roviras
Comparison fields: 5 of 53
  • Computer Networks and Communications 526
  • Statistical and Nonlinear Physics 261
  • Electrical and Electronic Engineering 989
  • Computational Theory and Mathematics 179
  • Signal Processing 93
Replace Weikai Xu with:
Weikai Xu China
Franco Chiaraluce Italy
Javier Valls Spain
Tamal Bose United States
Xiuming Shan China
Akio Tsuneda Japan
Don Torrieri United States
Gerald E. Sobelman United States
D.E. Borth United States
Daniel Roviras relative to Weikai Xu China Weikai Xu's profile →
Citations per field
00.5×4.9×
Weikai Xu · 1×
Citations per year

Countries citing papers authored by Daniel Roviras

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Roviras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200977
2 201666
3 200962
4 201160
5 201758
6 200857
7
Analysis of Non Ambiguous BOC Signal Acquisition Performance
200453
8 201052
9 200849
10 201448
11 201446
12 201942
13 201033
14 201032
15 201326
16 201126
17 201922
18 200022
19 201620
20 201420

About Daniel Roviras

Daniel Roviras is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Statistical and Nonlinear Physics, Signal Processing and Computational Theory and Mathematics, having authored 115 papers that have together received 1.4k indexed citations. Recurring topics across this work include PAPR reduction in OFDM (40 papers), Wireless Communication Networks Research (38 papers), Advanced Wireless Communication Techniques (31 papers), Advanced Power Amplifier Design (25 papers), Chaos control and synchronization (20 papers), Blind Source Separation Techniques (17 papers), Cellular Automata and Applications (14 papers) and Advanced Adaptive Filtering Techniques (13 papers). The work is most often cited by research in Computer Networks and Communications (526 citations), Statistical and Nonlinear Physics (261 citations), Electrical and Electronic Engineering (989 citations), Computational Theory and Mathematics (179 citations) and Signal Processing (93 citations). Daniel Roviras has collaborated with scholars based in France, Tunisia and Algeria. Frequent co-authors include Rafik Zayani, Hmaied Shaïek, Pascal Chargé, Georges Kaddoum, Yahia Medjahdi, Didier Le Ruyet, Danièle Fournier-Prunaret, F. Castanié, Ridha Bouallègue and Haijian Zhang. Their work appears in journals such as Signal Processing, IEEE Access, IEEE Communications Letters, EURASIP Journal on Wireless Communications and Networking and IEEE Wireless 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.

Explore authors with similar magnitude of impact