Daniel Mozos

1.3k citations
70 papers · 1.1k · h-index 18

Impact in

    • Embedded Systems Design Techniques
    • Parallel Computing and Optimization Techniques
    • Remote-Sensing Image Classification
    • Advanced Image Fusion Techniques

Papers in

Daniel Mozos

67 papers receiving 1.0k citations

Peers

Daniel Mozos
Comparison fields: 5 of 65
  • Hardware and Architecture 397
  • Media Technology 383
  • Computer Vision and Pattern Recognition 303
  • Computer Networks and Communications 320
  • Atmospheric Science 196
Replace Javier Resano with:
Javier Resano Spain
Carlos González Spain
Christian Tenllado Spain
Francisco Argüello Spain
Shaoteng Liu China
Weidong Yan China
Jarno Mielikäinen United States
Ofer Hadar Israel
J.F. Arnold Australia
Daniel Mozos relative to Javier Resano Spain Javier Resano's profile →
Citations per field
00.5×2.5×
Javier Resano · 1×
Citations per year

Countries citing papers authored by Daniel Mozos

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mozos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201382
2 201275
3 201859
4 201159
5 201657
6 201057
7 200548
8 201147
9 200440
10 200536
11 201036
12 201632
13 201731
14 200429
15 201728
16 200622
17 201519
18 200817
19 199617
20 202016

About Daniel Mozos

Daniel Mozos is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Media Technology and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (38 papers), Parallel Computing and Optimization Techniques (23 papers), Interconnection Networks and Systems (23 papers), Remote-Sensing Image Classification (17 papers), VLSI and FPGA Design Techniques (12 papers), Remote Sensing and Land Use (11 papers), Real-Time Systems Scheduling (10 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Hardware and Architecture (397 citations), Media Technology (383 citations), Computer Vision and Pattern Recognition (303 citations), Computer Networks and Communications (320 citations) and Atmospheric Science (196 citations). Daniel Mozos has collaborated with scholars based in Spain, Belgium and United Kingdom. Frequent co-authors include Carlos González, Javier Resano, Antonio Plaza, Francky Catthoor, Sebastián López, Hortensia Mecha, Juan Antonio Clemente, Jesús Tabero, Diederik Verkest and D.M. Fernandez. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Electronics 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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