Arnau Ramisa

1.4k total citations
34 papers, 680 citations indexed

About

Arnau Ramisa is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Arnau Ramisa has authored 34 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 15 papers in Aerospace Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Arnau Ramisa's work include Advanced Image and Video Retrieval Techniques (16 papers), Robotics and Sensor-Based Localization (15 papers) and Multimodal Machine Learning Applications (9 papers). Arnau Ramisa is often cited by papers focused on Advanced Image and Video Retrieval Techniques (16 papers), Robotics and Sensor-Based Localization (15 papers) and Multimodal Machine Learning Applications (9 papers). Arnau Ramisa collaborates with scholars based in Spain, United States and United Kingdom. Arnau Ramisa's co-authors include Francesc Moreno-Noguer, Carme Torras, Guillem Alenyà, Cordelia Schmid, Matthijs Douze, Ramón López de Mántaras, Ricardo Toledo, David Aldavert, Edgar Simo‐Serra and Krystian Mikolajczyk and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Molecular Biology and Evolution and ACM Computing Surveys.

In The Last Decade

Arnau Ramisa

32 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnau Ramisa Spain 14 492 171 158 127 51 34 680
Masatsugu Kidode Japan 12 300 0.6× 52 0.3× 68 0.4× 72 0.6× 33 0.6× 66 453
Lulu Chen China 10 436 0.9× 76 0.4× 80 0.5× 37 0.3× 93 1.8× 23 566
Elsayed E. Hemayed Egypt 14 397 0.8× 117 0.7× 104 0.7× 22 0.2× 56 1.1× 68 701
Valts Blukis United States 10 326 0.7× 290 1.7× 68 0.4× 181 1.4× 24 0.5× 16 633
Jianshu Li China 20 1.1k 2.2× 298 1.7× 45 0.3× 54 0.4× 44 0.9× 42 1.3k
Chin‐Shyurng Fahn Taiwan 12 203 0.4× 97 0.6× 28 0.2× 99 0.8× 59 1.2× 55 500
Xin Guo China 12 256 0.5× 126 0.7× 52 0.3× 22 0.2× 40 0.8× 63 454
Eric Jang United States 8 305 0.6× 331 1.9× 43 0.3× 236 1.9× 74 1.5× 13 598
Eduardo Oliveira Freire Brazil 11 242 0.5× 43 0.3× 113 0.7× 160 1.3× 54 1.1× 61 440

Countries citing papers authored by Arnau Ramisa

Since Specialization
Citations

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

Fields of papers citing papers by Arnau Ramisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnau Ramisa

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

All Works

20 of 20 papers shown
1.
Deldjoo, Yashar, Zhankui He, Julian McAuley, et al.. (2025). Tutorial on Recommendation with Generative Models (Gen-RecSys). 1002–1004. 8 indexed citations
2.
Deldjoo, Yashar, Zhankui He, Julian McAuley, et al.. (2024). A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). 6448–6458. 27 indexed citations
3.
Deldjoo, Yashar, et al.. (2023). A Review of Modern Fashion Recommender Systems. ACM Computing Surveys. 56(4). 1–37. 39 indexed citations
4.
Ramisa, Arnau, Fei Yan, Francesc Moreno-Noguer, & Krystian Mikolajczyk. (2017). BreakingNews: Article Annotation by Image and Text Processing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(5). 1072–1085. 49 indexed citations
5.
Gilbert, Andrew, Luca Piras, Josiah Wang, et al.. (2016). Overview of the ImageCLEF 2016 Scalable Concept Image Annotation Task. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 1609. 254–278. 3 indexed citations
6.
Ramisa, Arnau, Guillem Alenyà, Francesc Moreno-Noguer, & Carme Torras. (2016). A 3D descriptor to detect task-oriented grasping points in clothing. Pattern Recognition. 60. 936–948. 10 indexed citations
7.
Ramisa, Arnau, et al.. (2015). Semantic Tuples for Evaluation of Image to Sentence Generation. QRU Quaderns de Recerca en Urbanisme. 18–28. 3 indexed citations
8.
Ramisa, Arnau, et al.. (2014). Evaluation of Random Forests on large-scale classification problems using a Bag-of-Visual-Words representation.. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 273–276. 3 indexed citations
9.
Ramisa, Arnau, Guillem Alenyà, Francesc Moreno-Noguer, & Carme Torras. (2014). Learning RGB-D descriptors of garment parts for informed robot grasping. Engineering Applications of Artificial Intelligence. 35. 246–258. 42 indexed citations
10.
Ramisa, Arnau, Guillem Alenyà, Francesc Moreno-Noguer, & Carme Torras. (2013). FINDDD: A fast 3D descriptor to characterize textiles for robot manipulation. QRU Quaderns de Recerca en Urbanisme. 25. 824–830. 24 indexed citations
11.
Ramisa, Arnau, Guillem Alenyà, Francesc Moreno-Noguer, & Carme Torras. (2012). Using depth and appearance features for informed robot grasping of highly wrinkled clothes. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1703–1708. 94 indexed citations
12.
Douze, Matthijs, Arnau Ramisa, & Cordelia Schmid. (2011). Combining attributes and Fisher vectors for efficient image retrieval. HAL (Le Centre pour la Communication Scientifique Directe). 745–752. 122 indexed citations
13.
Ramisa, Arnau, et al.. (2011). The Spanish Network on Biomolecular and Biocellular Computing: Bio-inspired Natural Computing in Spain. ERCIM news/ERCIM news online edition. 2011. 25–25.
14.
Ramisa, Arnau, David Aldavert, Shrihari Vasudevan, Ricardo Toledo, & Ramón López de Mántaras. (2011). The IIIA30 Mobile Robot Object Recognition Dataset. DIGITAL.CSIC (Spanish National Research Council (CSIC)).
15.
Ramisa, Arnau, et al.. (2011). Combining Invariant Features and the ALV Homing Method for Autonomous Robot Navigation Based on Panoramas. Journal of Intelligent & Robotic Systems. 64(3-4). 625–649. 20 indexed citations
16.
Ramisa, Arnau, Adriana Tapus, Ramón López de Mántaras, & Ricardo Toledo. (2008). Mobile robot localization using panoramic vision and combinations of feature region detectors. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 14 indexed citations
17.
Bianchi, Reinaldo A. C., Arnau Ramisa, & Ramón López de Mántaras. (2008). Learning to Select Object Recognition Methods for Autonomous Mobile Robots. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 4 indexed citations
18.
Vinyals, Meritxell, Arnau Ramisa, & Ricardo Toledo. (2007). An Evaluation of an Object Recognition Schema Using Multiple Region Detectors. Molecular Biology and Evolution. 30(9). 213–222. 1 indexed citations
19.
Ramisa, Arnau, Ramón López de Mántaras, David Aldavert, & Ricardo Toledo. (2007). COMPARING COMBINATIONS OF FEATURE REGIONS FOR PANORAMIC VSLAM. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 292–297. 4 indexed citations
20.
Ramisa, Arnau, et al.. (2007). Using the Average Landmark Vector Method for Robot Homing. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 331–338. 7 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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