Mikel Rodríguez

3.3k total citations · 1 hit paper
23 papers, 1.6k citations indexed

About

Mikel Rodríguez is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Mikel Rodríguez has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Mikel Rodríguez's work include Human Pose and Action Recognition (9 papers), Video Surveillance and Tracking Methods (6 papers) and Smart Grid Security and Resilience (5 papers). Mikel Rodríguez is often cited by papers focused on Human Pose and Action Recognition (9 papers), Video Surveillance and Tracking Methods (6 papers) and Smart Grid Security and Resilience (5 papers). Mikel Rodríguez collaborates with scholars based in United States, Spain and France. Mikel Rodríguez's co-authors include Mubarak Shah, Javed Ahmed, Ivan Laptev, Josef Šivic, Jean-Yves Audibert, Saad Ali, Takeo Kanade, Arpit Jain, Larry S. Davis and Abhinav Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Energies.

In The Last Decade

Mikel Rodríguez

21 papers receiving 1.5k citations

Hit Papers

align trajectories

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.

Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition

2008 836 citations Mikel Rodríguez et al. Journal of International Crisis and Risk Communication Research profile →

Peers

Mikel Rodríguez

CVPR

AI

BE

HI

OE

Wenhan Hu China

Lorenzo Seidenari Italy

Weihao Gan China

Imran N. Junejo United Arab Emirates

Bo Dai United States

Imran Saleemi United States

Bingpeng Ma China

Zhilan Hu China

Dongze Lian China

Wenhan Hu China

Mikel Rodríguez

1.2k ×0.9

CVPR

452 ×0.5

AI

202 ×0.8

BE

92 ×0.7

HI

56 ×0.5

OE

Citations per year, relative to Mikel Rodríguez Mikel Rodríguez (= 1×) peers Wenhan Hu

Countries citing papers authored by Mikel Rodríguez

Since Specialization

Citations

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

Fields of papers citing papers by Mikel Rodríguez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikel Rodríguez

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Weidinger, Laura, John W. Mellor, Nahema Marchal, et al.. (2024). STAR: SocioTechnical Approach to Red Teaming Language Models. 21516–21532.

2.

Anderljung, Markus, Kevin M. Esvelt, Gillian K. Hadfield, et al.. (2024). Responsible Reporting for Frontier AI Development. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 768–783. 4 indexed citations

3.

Lázaro, Jesús, Armando Astarloa, Mikel Rodríguez, Unai Bidarte, & Jaime Jiménez. (2021). A Survey on Vulnerabilities and Countermeasures in the Communications of the Smart Grid. Electronics. 10(16). 1881–1881. 25 indexed citations

4.

Rodríguez, Mikel, Jesús Lázaro, Unai Bidarte, Jaime Jiménez, & Armando Astarloa. (2021). A Fixed-Latency Architecture to Secure GOOSE and Sampled Value Messages in Substation Systems. IEEE Access. 9. 51646–51658. 19 indexed citations

5.

Harguess, Josh, et al.. (2021). The vulnerability of UAVs: an adversarial machine learning perspective. 43. 13–13. 8 indexed citations

6.

Harguess, Josh, et al.. (2021). A Dynamic Thermal IR Display for Physical Adversarial Attacks. 1–7. 2 indexed citations

7.

Lázaro, Jesús, et al.. (2020). Secure Critical Traffic of the Electric Sector over Time-Sensitive Networking. Communities in ADDI (University of the Basque Country). 1–6. 3 indexed citations

8.

Astarloa, Armando, Mikel Rodríguez, Francisco Durán, Jaime Jiménez, & Jesús Lázaro. (2020). Synchronizing NTP Referenced SCADA Systems Interconnected by High-availability Networks. 1–6. 2 indexed citations

9.

Rodríguez, Mikel, et al.. (2018). Secure Protocol and IP Core for Configuration of Networking Hardware IPs in the Smart Grid. Energies. 11(3). 510–510. 4 indexed citations

10.

Rodríguez, Mikel, Armando Astarloa, Jesús Lázaro, Unai Bidarte, & Jaime Jiménez. (2018). System-on-Programmable-Chip AES-GCM implementation for wire-speed cryptography for SAS. 1–6. 6 indexed citations

11.

Dunn, Enrique, et al.. (2017). Efficient video collection association using geometry-aware Bag-of-Iconics representations. SHILAP Revista de lepidopterología. 9(1).

12.

Ahmadi, Amin, Kieran Moran, Noel E. O’Connor, et al.. (2015). A Multi-Modal 3D Capturing Platform for Learning and Preservation of Traditional Sports and Games. 747–748. 6 indexed citations

13.

Unzueta, Luis, et al.. (2014). Viewpoint-dependent 3D human body posing for sports legacy recovery from images and video. 361–365. 4 indexed citations

14.

Rodríguez, Mikel, et al.. (2013). Snapshot spectral and polarimetric imaging; target identification with multispectral video. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8743. 87430R–87430R. 4 indexed citations

15.

Rodríguez, Mikel, Josef Šivic, Ivan Laptev, & Jean-Yves Audibert. (2011). Data-driven crowd analysis in videos. HAL (Le Centre pour la Communication Scientifique Directe). 1235–1242. 146 indexed citations

16.

Rodríguez, Mikel, Ivan Laptev, Josef Šivic, & Jean-Yves Audibert. (2011). Density-aware person detection and tracking in crowds. 2423–2430. 205 indexed citations

17.

Rodríguez, Mikel. (2010). CRAM: Compact representation of actions in movies. Journal of International Crisis and Risk Communication Research. 3328–3335. 21 indexed citations

18.

Rodríguez, Mikel. (2010). Spatio-temporal Maximum Average Correlation Height Templates In Action Recognition And Video Summarization. Journal of International Crisis and Risk Communication Research. 16 indexed citations

19.

Rodríguez, Mikel, Saad Ali, & Takeo Kanade. (2009). Tracking in unstructured crowded scenes. Journal of International Crisis and Risk Communication Research. 1389–1396. 131 indexed citations

20.

Rodríguez, Mikel & Mubarak Shah. (2007). Detecting and segmenting humans in crowded scenes. Journal of International Crisis and Risk Communication Research. 353–356. 37 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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