Daniel Egea-Roca

27 papers receiving 387 citations

Peers

Daniel Egea-Roca
Comparison fields: 5 of 62
  • Geology 138
  • Space and Planetary Science 12
  • Conservation 29
  • Environmental Engineering 111
  • Aerospace Engineering 190
Replace Federico Cluni with:
Federico Cluni Italy
Robert Duchnowski Poland
Hans Neuner Austria
Zhejun Lu China
Guido Morgenthal Germany
Veli İlçi Türkiye
Wuyong Tao China
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Shreyansh Daftry United States
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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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013110
2 202244
3 201432
4 201530
5 201825
6 201422
7 202218
8 202115
9 201815
10 201814
11
Signal-level Integrity and Metrics Based on the Application of Quickest Detection Theory to Multipath Detection
201511
12 201711
13 20009
14 20228
15 20157
16 20167
17 20165
18 20184
19 20153
20
Signal-level integrity and metrics based on the application of quickest detection theory to interference detection
20153

About Daniel Egea-Roca

Daniel Egea-Roca is a scholar working on Aerospace Engineering, Statistics, Probability and Uncertainty, Geology, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 30 papers that have together received 404 indexed citations. Recurring topics across this work include GNSS positioning and interference (16 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), 3D Surveying and Cultural Heritage (4 papers), Fault Detection and Control Systems (3 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Geology (138 citations), Space and Planetary Science (12 citations), Conservation (29 citations), Environmental Engineering (111 citations) and Aerospace Engineering (190 citations). Daniel Egea-Roca has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include S. Lagüela, Lucia Díaz Vilariño, Gonzalo Seco‐Granados, Julia Armesto, José A. López-Salcedo, Pedro Arias, H. Vincent Poor, Henrique Lorenzo, Emanuela Falletti and Thomas Pany. Their work appears in journals such as IEEE Transactions on Signal Processing, Sensors, Signal Processing, Automation in Construction and Digital 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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