Ignacio Rocco

2.6k total citations · 1 hit paper
10 papers, 867 citations indexed

About

Ignacio Rocco is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Ignacio Rocco has authored 10 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 2 papers in Computational Mechanics. Recurrent topics in Ignacio Rocco's work include Advanced Vision and Imaging (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Robotics and Sensor-Based Localization (4 papers). Ignacio Rocco is often cited by papers focused on Advanced Vision and Imaging (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Robotics and Sensor-Based Localization (4 papers). Ignacio Rocco collaborates with scholars based in United Kingdom, France and United States. Ignacio Rocco's co-authors include Josef Šivic, Akihiko Torii, Tomáš Pajdla, Mihai Dusmanu, Marc Pollefeys, Torsten Sattler, Relja Arandjelović, Mircea Cimpoi, Natalia Neverova and Andrea Vedaldi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Ignacio Rocco

9 papers receiving 839 citations

Hit Papers

D2-Net: A Trainable CNN for Joint Description and Detecti... 2019 2026 2021 2023 2019 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
    2019 688 citations Mihai Dusmanu, Ignacio Rocco et al. Chalmers Research (Chalmers University of Technology) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ignacio Rocco United Kingdom 7 761 547 89 56 55 10 867
Zehong Shen China 5 702 0.9× 458 0.8× 104 1.2× 59 1.1× 51 0.9× 6 852
Yuang Wang China 6 697 0.9× 451 0.8× 104 1.2× 60 1.1× 54 1.0× 6 883
Aoxiang Fan China 10 769 1.0× 457 0.8× 65 0.7× 93 1.7× 106 1.9× 10 910
Mihai Dusmanu United Kingdom 4 629 0.8× 485 0.9× 78 0.9× 40 0.7× 70 1.3× 5 729
Eduard Trulls Switzerland 9 476 0.6× 279 0.5× 46 0.5× 28 0.5× 63 1.1× 12 562
Paul-Edouard Sarlin Switzerland 7 403 0.5× 240 0.4× 68 0.8× 29 0.5× 117 2.1× 7 557
Visesh Chari India 11 457 0.6× 167 0.3× 62 0.7× 38 0.7× 48 0.9× 20 542
Yi-Ping Hung Taiwan 10 439 0.6× 304 0.6× 138 1.6× 59 1.1× 24 0.4× 29 595
Grant Schindler United States 10 759 1.0× 475 0.9× 138 1.6× 52 0.9× 52 0.9× 14 864

Countries citing papers authored by Ignacio Rocco

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Rocco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio Rocco

This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio Rocco. A scholar is included among the top collaborators of Ignacio Rocco 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 Ignacio Rocco. Ignacio Rocco 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.
Rocco, Ignacio, David Novotný, Andrea Vedaldi, et al.. (2023). Self-supervised Correspondence Estimation via Multiview Registration. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1216–1225. 5 indexed citations
2.
Sinha, Samarth, Роман Шаповалов, Jeremy Reizenstein, et al.. (2023). Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. 4881–4891. 7 indexed citations
3.
Шаповалов, Роман, Yanir Kleiman, Ignacio Rocco, et al.. (2023). Replay: Multi-modal Multi-view Acted Videos for Casual Holography. 20281–20291. 3 indexed citations
4.
Rocco, Ignacio, et al.. (2023). DynamicStereo: Consistent Dynamic Depth from Stereo Videos. 13229–13239. 7 indexed citations
5.
Sarafianos, Nikolaos, et al.. (2022). BodyMap: Learning Full-Body Dense Correspondence Map. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13276–13285. 10 indexed citations
6.
Novotný, David, Ignacio Rocco, Samarth Sinha, et al.. (2022). KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5585–5594. 6 indexed citations
7.
Rocco, Ignacio, Mircea Cimpoi, Relja Arandjelović, et al.. (2020). NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2). 1020–1034. 62 indexed citations
8.
Dusmanu, Mihai, Ignacio Rocco, Tomáš Pajdla, et al.. (2019). D2-Net: A Trainable CNN for Joint Description and Detection of Local Features. Chalmers Research (Chalmers University of Technology). 8084–8093. 688 indexed citations breakdown →
9.
Rocco, Ignacio, Relja Arandjelović, & Josef Šivic. (2018). End-to-End Weakly-Supervised Semantic Alignment. arXiv (Cornell University). 6917–6925.
10.
Rocco, Ignacio, Relja Arandjelović, & Josef Šivic. (2018). Convolutional Neural Network Architecture for Geometric Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(11). 2553–2567. 79 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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