Aitor Aldomà

1.5k total citations
11 papers, 686 citations indexed

About

Aitor Aldomà is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Aitor Aldomà has authored 11 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 7 papers in Geology. Recurrent topics in Aitor Aldomà's work include Robotics and Sensor-Based Localization (10 papers), 3D Surveying and Cultural Heritage (7 papers) and Advanced Vision and Imaging (4 papers). Aitor Aldomà is often cited by papers focused on Robotics and Sensor-Based Localization (10 papers), 3D Surveying and Cultural Heritage (7 papers) and Advanced Vision and Imaging (4 papers). Aitor Aldomà collaborates with scholars based in Austria, Italy and United States. Aitor Aldomà's co-authors include Markus Vincze, Radu Bogdan Rusu, Suat Gedikli, Walter Wohlkinger, Federico Tombari, David Gossow, Bernhard Zeisl, Christian Potthast, Nico Blodow and Gary Bradski and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Robotics & Automation Magazine and Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).

In The Last Decade

Aitor Aldomà

11 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aitor Aldomà Austria	9	412	408	227	206	94	11	686
JJ Hsu United States	4	356 0.9×	393 1.0×	213 0.9×	123 0.6×	102 1.1×	4	601
Bertram Drost Germany	7	527 1.3×	584 1.4×	277 1.2×	328 1.6×	65 0.7×	9	870
Suat Gedikli Germany	7	613 1.5×	434 1.1×	264 1.2×	137 0.7×	167 1.8×	12	954
Srikumar Ramalingam United States	15	574 1.4×	567 1.4×	310 1.4×	89 0.4×	124 1.3×	23	851
Markus Schoeler Germany	8	307 0.7×	231 0.6×	266 1.2×	118 0.6×	259 2.8×	14	666
Christian Potthast United States	5	287 0.7×	290 0.7×	144 0.6×	76 0.4×	76 0.8×	5	438
Eric Brachmann Germany	9	776 1.9×	699 1.7×	152 0.7×	342 1.7×	20 0.2×	15	973
Frank Michel Germany	9	760 1.8×	653 1.6×	145 0.6×	318 1.5×	17 0.2×	15	965
Bernhard Zeisl Switzerland	9	449 1.1×	405 1.0×	184 0.8×	53 0.3×	102 1.1×	14	657
Jürgen Hess Germany	8	928 2.3×	1.1k 2.6×	414 1.8×	110 0.5×	139 1.5×	10	1.3k

Countries citing papers authored by Aitor Aldomà

Since Specialization

Citations

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

Fields of papers citing papers by Aitor Aldomà

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aitor Aldomà

This figure shows the co-authorship network connecting the top 25 collaborators of Aitor Aldomà. A scholar is included among the top collaborators of Aitor Aldomà 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 Aitor Aldomà. Aitor Aldomà is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Aldomà, Aitor, Federico Tombari, Luigi Di Stefano, & Markus Vincze. (2015). A Global Hypothesis Verification Framework for 3D Object Recognition in Clutter. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(7). 1383–1396. 31 indexed citations

2.

Prankl, Johann, et al.. (2015). RGB-D object modelling for object recognition and tracking. 32. 96–103. 24 indexed citations

3.

Aldomà, Aitor, et al.. (2015). Temporal integration of feature correspondences for enhanced recognition in cluttered and dynamic environments. 7724. 3003–3009. 10 indexed citations

4.

Aldomà, Aitor, et al.. (2014). Automation of “ground truth” annotation for multi-view RGB-D object instance recognition datasets. 5016–5023. 19 indexed citations

5.

Brkić, Karla, Aitor Aldomà, Markus Vincze, Siniša Šegvić, & Zoran Kalafatić. (2014). Temporal Ensemble of Shape Functions. Eurographics. 1 indexed citations

6.

Wohlkinger, Walter, Aitor Aldomà, Radu Bogdan Rusu, & Markus Vincze. (2012). 3DNet: Large-scale object class recognition from CAD models. 5384–5391. 92 indexed citations

7.

Aldomà, Aitor, Federico Tombari, & Markus Vincze. (2012). Supervised learning of hidden and non-hidden 0-order affordances and detection in real scenes. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 4095. 1732–1739. 22 indexed citations

8.

Bohg, Jeannette, Kai Welke, Beatriz León, et al.. (2012). Task-based Grasp Adaptation on a Humanoid Robot. IFAC Proceedings Volumes. 45(22). 779–786. 14 indexed citations

9.

Aldomà, Aitor, Zoltán-Csaba Márton, Federico Tombari, et al.. (2012). Tutorial: Point Cloud Library: Three-Dimensional Object Recognition and 6 DOF Pose Estimation. IEEE Robotics & Automation Magazine. 19(3). 80–91. 264 indexed citations

10.

Aldomà, Aitor, Markus Vincze, Nico Blodow, et al.. (2011). CAD-model recognition and 6DOF pose estimation using 3D cues. 585–592. 204 indexed citations

11.

Aldomà, Aitor & Markus Vincze. (2011). Pose Alignment for 3D Models and Single View Stereo Point Clouds Based on Stable Planes. 374–380. 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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