Daniel Campos

403 citations
18 papers · 188 · h-index 8

Impact in

    • Underwater Vehicles and Communication Systems
    • Maritime Navigation and Safety
    • Offshore Engineering and Technologies
    • Robotics and Sensor-Based Localization

Papers in

Daniel Campos

16 papers receiving 182 citations

Peers

Daniel Campos
Comparison fields: 5 of 44
  • Ocean Engineering 64
  • Aerospace Engineering 68
  • Computer Vision and Pattern Recognition 54
  • Geology 8
  • Plant Science 51
Replace Paloma Sodhi with:
Paloma Sodhi United States
Jean Laneurit France
Jun-Hwa Kim South Korea
Christophe Debain France
Mohammed Mahbubur Rahman United States
R. Rouveure France
Diyana Kinaneva Bulgaria
João P. Matos-Carvalho Portugal
Shane Kyi Hla Win Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Campos

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Campos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201634
2 201532
3 201624
4 202122
5 202014
6 201912
7 202210
8 20218
9 20217
10 20247
11 20195
12 20214
13 20173
14 20252
15 20232
16 20231
17 20251
18 20240

About Daniel Campos

Daniel Campos is a scholar working on Ocean Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 18 papers that have together received 188 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (8 papers), Robotics and Sensor-Based Localization (6 papers), Maritime Navigation and Safety (5 papers), Robotic Path Planning Algorithms (4 papers), Remote Sensing and LiDAR Applications (2 papers), Smart Agriculture and AI (2 papers), Advanced Wireless Network Optimization (1 paper) and Energy Efficient Wireless Sensor Networks (1 paper). The work is most often cited by research in Ocean Engineering (64 citations), Aerospace Engineering (68 citations), Computer Vision and Pattern Recognition (54 citations), Geology (8 citations) and Plant Science (51 citations). Daniel Campos has collaborated with scholars based in Portugal, United States and Brazil. Frequent co-authors include Andry Maykol Pinto, Anı́bal Matos, Héber Sobreira, Filipe Neves dos Santos, Raul Morais, António Paulo Moreira, Nuno F.F. Moreira, José Gonçalves, José Lima and Pedro Costa. Their work appears in journals such as Journal of Field Robotics, Journal of Intelligent & Robotic Systems, IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Revista Iberoamericana de Tecnologias del Aprendizaje.

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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