Manuel López-Antequera

577 total citations
10 papers, 285 citations indexed

About

Manuel López-Antequera is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Manuel López-Antequera has authored 10 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 4 papers in Geology. Recurrent topics in Manuel López-Antequera's work include Robotics and Sensor-Based Localization (7 papers), Advanced Image and Video Retrieval Techniques (4 papers) and 3D Surveying and Cultural Heritage (4 papers). Manuel López-Antequera is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Advanced Image and Video Retrieval Techniques (4 papers) and 3D Surveying and Cultural Heritage (4 papers). Manuel López-Antequera collaborates with scholars based in Netherlands, Spain and Germany. Manuel López-Antequera's co-authors include Nicolai Petkov, Yubin Kuang, Pau Gargallo, Javier Civera, Frederik Warburg, Søren Hauberg, Javier González-Jiménez, Ruben Gomez-Ojeda, Nicola Strisciuglio and Peter Kontschieder and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Transactions on Robotics.

In The Last Decade

Manuel López-Antequera

10 papers receiving 279 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manuel López-Antequera Netherlands 8 228 184 57 29 16 10 285
Meiqing Wu Singapore 11 229 1.0× 105 0.6× 35 0.6× 54 1.9× 16 1.0× 39 283
Chule Yang Singapore 10 198 0.9× 198 1.1× 40 0.7× 42 1.4× 19 1.2× 24 310
Federico Pernici Italy 11 331 1.5× 118 0.6× 53 0.9× 57 2.0× 42 2.6× 34 407
Xuanyao Chen China 4 198 0.9× 113 0.6× 22 0.4× 33 1.1× 14 0.9× 4 288
Nitin J. Sanket United States 8 185 0.8× 174 0.9× 64 1.1× 23 0.8× 42 2.6× 18 278
Min-Jian Zhao China 5 162 0.7× 110 0.6× 90 1.6× 30 1.0× 31 1.9× 12 285
Adrián Peñate-Sánchez Spain 10 189 0.8× 171 0.9× 27 0.5× 20 0.7× 41 2.6× 22 275
Davide Migliore Italy 7 180 0.8× 158 0.9× 60 1.1× 38 1.3× 29 1.8× 14 268
Samia Bouchafa France 8 157 0.7× 75 0.4× 32 0.6× 39 1.3× 12 0.8× 39 235
Mu Hu China 4 227 1.0× 116 0.6× 54 0.9× 29 1.0× 21 1.3× 9 324

Countries citing papers authored by Manuel López-Antequera

Since Specialization
Citations

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

Fields of papers citing papers by Manuel López-Antequera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel López-Antequera. 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 Manuel López-Antequera. The network helps show where Manuel López-Antequera may publish in the future.

Co-authorship network of co-authors of Manuel López-Antequera

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel López-Antequera. A scholar is included among the top collaborators of Manuel López-Antequera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manuel López-Antequera. Manuel López-Antequera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
López-Antequera, Manuel, Pau Gargallo, Yubin Kuang, et al.. (2021). CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 9825–9835. 11 indexed citations
2.
Strisciuglio, Nicola, Manuel López-Antequera, & Nicolai Petkov. (2020). Enhanced robustness of convolutional networks with a push–pull inhibition layer. Neural Computing and Applications. 32(24). 17957–17971. 20 indexed citations
3.
Warburg, Frederik, Søren Hauberg, Manuel López-Antequera, et al.. (2020). Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition. 2623–2632. 119 indexed citations
4.
Bulò, Samuel Rota, et al.. (2020). Disentangling Monocular 3D Object Detection: From Single to Multi-Class Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(3). 1219–1231. 39 indexed citations
5.
López-Antequera, Manuel, et al.. (2019). Place and Object Recognition by CNN-Based COSFIRE Filters. IEEE Access. 7. 66157–66166. 7 indexed citations
6.
Strisciuglio, Nicola, et al.. (2019). TB-Places: A Data Set for Visual Place Recognition in Garden Environments. IEEE Access. 7. 52277–52287. 14 indexed citations
7.
Jaimez, Mariano, Javier Monroy, Manuel López-Antequera, & Javier González-Jiménez. (2018). Robust Planar Odometry Based on Symmetric Range Flow and Multiscan Alignment. IEEE Transactions on Robotics. 34(6). 1623–1635. 12 indexed citations
8.
López-Antequera, Manuel, Nicolai Petkov, & Javier González-Jiménez. (2017). City-scale continuous visual localization. University of Groningen research database (University of Groningen / Centre for Information Technology). 1–6. 3 indexed citations
9.
López-Antequera, Manuel, Ruben Gomez-Ojeda, Nicolai Petkov, & Javier González-Jiménez. (2017). Appearance-invariant place recognition by discriminatively training a convolutional neural network. Pattern Recognition Letters. 92. 89–95. 55 indexed citations
10.
López-Antequera, Manuel, Nicolai Petkov, & Javier González-Jiménez. (2016). Image-based localization using Gaussian processes. 1–7. 5 indexed citations

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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