Daniel Romero

1.3k citations
57 papers · 745 · h-index 12

Impact in

Papers in

Daniel Romero

55 papers receiving 736 citations

Peers

Daniel Romero
Comparison fields: 5 of 62
  • Computational Mathematics 17
  • Signal Processing 216
  • Computational Mechanics 230
  • Computer Networks and Communications 185
  • Statistical and Nonlinear Physics 79
Replace George N. Karystinos with:
George N. Karystinos Greece
Pedro A. Forero United States
Hadi Zayyani Iran
Vanessa Su Lee Goh United Kingdom
P. Strobach Germany
Baltasar Beferull‐Lozano Norway
Linxiao Yang China
V. Koivunen Finland
Dimitris Tzikas Greece
Xiuchun Xiao China
Daniel Romero relative to George N. Karystinos Greece George N. Karystinos's profile →
Citations per field
00.5×6.6×
George N. Karystinos · 1×
Citations per year

Countries citing papers authored by Daniel Romero

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Daniel Romero, 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 Romero Line = papers co-authored together Daniel Romero links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016124
2 201589
3 202271
4 201757
5 202243
6 201342
7 201841
8 201539
9 201825
10 201717
11 202214
12 201512
13 202211
14 201911
15 202210
16 201410
17 20158
18 20167
19 20187
20 20196

About Daniel Romero

Daniel Romero is a scholar working on Computer Networks and Communications, Computational Mechanics, Signal Processing, Electrical and Electronic Engineering and Artificial Intelligence, having authored 57 papers that have together received 745 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (23 papers), Sparse and Compressive Sensing Techniques (14 papers), Blind Source Separation Techniques (13 papers), Advanced Adaptive Filtering Techniques (10 papers), Speech and Audio Processing (6 papers), Indoor and Outdoor Localization Technologies (6 papers), Cognitive Radio Networks and Spectrum Sensing (5 papers) and Advanced Graph Neural Networks (5 papers). The work is most often cited by research in Computational Mathematics (17 citations), Signal Processing (216 citations), Computational Mechanics (230 citations), Computer Networks and Communications (185 citations) and Statistical and Nonlinear Physics (79 citations). Daniel Romero has collaborated with scholars based in Norway, Spain and United States. Frequent co-authors include Georgios B. Giannakis, Geert Leus, Seung-Jun Kim, Roberto López-Valcarce, Meng Ma, Dyonisius Dony Ariananda, Zhi Tian, Donghoon Lee, Sundeep Prabhakar Chepuri and Baltasar Beferull‐Lozano. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine, IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology 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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