Daniel Egea-Roca

26 papers receiving 337 citations

Peers

Daniel Egea-Roca
Comparison fields: 5 of 57
  • Geology 125
  • Space and Planetary Science 12
  • Conservation 25
  • Aerospace Engineering 182
  • Environmental Engineering 103
Replace Federico Cluni with:
Federico Cluni Italy
Robert Duchnowski Poland
Guido Morgenthal Germany
Fan Gao China
Veli İlçi Türkiye
Yilin Xie China
Siyuan Chen China
Matthew Berger United States
Maarten Uijt de Haag United States
Daniel Egea-Roca relative to Federico Cluni Italy Federico Cluni's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Egea-Roca

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Egea-Roca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013103
2 202239
3 201430
4 201525
5 201821
6 201418
7 202217
8 201814
9 202113
10 201812
11
Signal-level Integrity and Metrics Based on the Application of Quickest Detection Theory to Multipath Detection
201511
12 201711
13 20008
14 20157
15 20227
16 20165
17 20184
18
Signal-level integrity and metrics based on the application of quickest detection theory to interference detection
20153
19 20153
20 20232

About Daniel Egea-Roca

Daniel Egea-Roca is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 28 papers that have together received 361 indexed citations. Recurring topics across this work include GNSS positioning and interference (17 papers), Indoor and Outdoor Localization Technologies (11 papers), Satellite Communication Systems (6 papers), Advanced Statistical Process Monitoring (4 papers), Distributed Sensor Networks and Detection Algorithms (4 papers), Fault Detection and Control Systems (4 papers), 3D Surveying and Cultural Heritage (4 papers) and Scientific Measurement and Uncertainty Evaluation (3 papers). The work is most often cited by research in Geology (125 citations), Space and Planetary Science (12 citations), Conservation (25 citations), Aerospace Engineering (182 citations) and Environmental Engineering (103 citations). Daniel Egea-Roca has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include S. Lagüela, L. Díaz−Vilariño, Gonzalo Seco‐Granados, Julia Armesto, José A. López-Salcedo, Pedro Arias, Emanuela Falletti, H. Vincent Poor, Felix Antreich and Matteo Paonni. Their work appears in journals such as IEEE Transactions on Signal Processing, Digital Signal Processing, Automation in Construction, IEEE Access and Signal Processing.

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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