Pedro E. López-de-Teruel

552 citations
33 papers · 358 · h-index 10

Impact in

Papers in

Pedro E. López-de-Teruel

33 papers receiving 342 citations

Peers

Pedro E. López-de-Teruel
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 171
  • Media Technology 51
  • Signal Processing 36
  • Aerospace Engineering 71
  • Artificial Intelligence 80
Replace Jichao Jiao with:
Jichao Jiao China
Ali Amiri Iran
Chengkai Tang China
Mingyuan Xin China
S. Mita Japan
Xiaoping Liu China
Ajay J. Joshi United States
Pedro E. López-de-Teruel relative to Jichao Jiao China Jichao Jiao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pedro E. López-de-Teruel

Since Specialization
Citations

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

Fields of papers citing papers by Pedro E. López-de-Teruel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro E. López-de-Teruel. 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 Pedro E. López-de-Teruel. The network helps show where Pedro E. López-de-Teruel may publish in the future.

Co-authors

The 12 scholars most cited alongside Pedro E. López-de-Teruel, 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 Pedro E. López-de-Teruel Line = papers co-authored together Pedro E. López-de-Teruel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001136
2 202227
3 201119
4 200317
5 201617
6 201217
7 201714
8
The Parallel EM Algorithm and its Applications in Computer Vision.
199913
9 201410
10 201710
11 20119
12 19988
13 20207
14 20177
15 20165
16 20124
17 20084
18 20184
19 20064
20 20243

About Pedro E. López-de-Teruel

Pedro E. López-de-Teruel is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering, Computer Networks and Communications and Signal Processing, having authored 33 papers that have together received 358 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (7 papers), Speech and Audio Processing (5 papers), Parallel Computing and Optimization Techniques (4 papers), Optical measurement and interference techniques (4 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (171 citations), Media Technology (51 citations), Signal Processing (36 citations), Aerospace Engineering (71 citations) and Artificial Intelligence (80 citations). Pedro E. López-de-Teruel has collaborated with scholars based in Spain and Germany. Frequent co-authors include A. Ruiz-Jimeno, Óscar Cánovas, Félix J. García Clemente, Ginés Garcı́a-Mateos, José M. Garcı́a, Ángel Luis Perales Gómez, Manuel E. Acacio, Gregorio Bernabé, M. Carmen Garrido and Felix Voigtlaender. Their work appears in journals such as Future Generation Computer Systems, Journal of Artificial Intelligence Research, Mobile Networks and Applications, Pattern Recognition and IEEE Sensors Journal.

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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