Pablo Zegers

736 total citations
30 papers, 450 citations indexed

About

Pablo Zegers is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Pablo Zegers has authored 30 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Pablo Zegers's work include Neural Networks and Applications (9 papers), Human Pose and Action Recognition (6 papers) and Time Series Analysis and Forecasting (4 papers). Pablo Zegers is often cited by papers focused on Neural Networks and Applications (9 papers), Human Pose and Action Recognition (6 papers) and Time Series Analysis and Forecasting (4 papers). Pablo Zegers collaborates with scholars based in Chile, United States and France. Pablo Zegers's co-authors include Malur K. Sundareshan, Sergio A. Velastín, Louahdi Khoudour, Alain Crouzil, José C. Prı́ncipe, Pavlos Protopapas, P. Huijse, P. A. Estévez, Rodrigo Fernández and Nick Tyler and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Sensors.

In The Last Decade

Pablo Zegers

27 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo Zegers Chile 12 146 134 82 74 67 30 450
Judith Bütepage Sweden 5 266 1.8× 312 2.3× 53 0.6× 78 1.1× 8 0.1× 11 682
Jiun-Wei Liou Taiwan 5 131 0.9× 120 0.9× 38 0.5× 43 0.6× 14 0.2× 8 432
Kamran Ali United States 8 78 0.5× 179 1.3× 187 2.3× 128 1.7× 10 0.1× 26 804
Xiaoming Liu China 12 41 0.3× 328 2.4× 102 1.2× 29 0.4× 9 0.1× 46 644
Caixia Yan China 11 241 1.7× 325 2.4× 28 0.3× 64 0.9× 10 0.1× 20 556
Fei Luo China 11 84 0.6× 154 1.1× 34 0.4× 132 1.8× 5 0.1× 53 457
William Brendel United States 11 251 1.7× 516 3.9× 51 0.6× 49 0.7× 6 0.1× 14 707
Paula Tarrío Spain 15 53 0.4× 103 0.8× 56 0.7× 22 0.3× 11 0.2× 35 479
Wei Xing China 16 78 0.5× 543 4.1× 70 0.9× 25 0.3× 36 0.5× 57 774
D.R. Bull United Kingdom 13 44 0.3× 484 3.6× 178 2.2× 48 0.6× 12 0.2× 65 697

Countries citing papers authored by Pablo Zegers

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Zegers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Zegers

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Zegers. A scholar is included among the top collaborators of Pablo Zegers 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 Pablo Zegers. Pablo Zegers 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.
Pham, Hieu H., Louahdi Khoudour, Alain Crouzil, Pablo Zegers, & Sergio A. Velastín. (2022). Video-based Human Action Recognition using Deep Learning: A Review. arXiv (Cornell University). 12 indexed citations
2.
Cartes, Cristián, et al.. (2019). Dry eye is matched by increased intrasubject variability in tear osmolarity as confirmed by machine learning approach.. PubMed. 94(7). 337–342. 7 indexed citations
3.
Cartes, Cristián, et al.. (2019). El ojo seco está relacionado con un aumento intrasujeto de la variabilidad de osmolaridad lagrimal confirmado por tecnología de aprendizaje de máquinas. Archivos de la Sociedad Española de Oftalmología. 94(7). 337–342. 5 indexed citations
4.
Cartes, Cristián, et al.. (2019). Dry eye is matched by increased intrasubject variability in tear osmolarity as confirmed by machine learning approach. Archivos de la Sociedad Española de Oftalmología (English Edition). 94(7). 337–342. 3 indexed citations
5.
Khoudour, Louahdi, et al.. (2018). Learning to recognise 3D human action from a new skeleton‐based representation using deep convolutional neural networks. IET Computer Vision. 13(3). 319–328. 28 indexed citations
6.
Santana, Eder, et al.. (2017). Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All Networks. IEEE Transactions on Neural Networks and Learning Systems. 29(8). 3738–3746. 6 indexed citations
7.
Zegers, Pablo. (2015). Fisher Information Properties. Entropy. 17(7). 4918–4939. 34 indexed citations
8.
Fernández, Rodrigo, et al.. (2013). Passenger Saturation Flows through Public Transport Doors. 4 indexed citations
9.
Zegers, Pablo, et al.. (2013). Relative Entropy Derivative Bounds. Entropy. 15(7). 2861–2873. 4 indexed citations
10.
Huijse, P., P. A. Estévez, Pablo Zegers, José C. Prı́ncipe, & Pavlos Protopapas. (2011). Period Estimation in Astronomical Time Series Using Slotted Correntropy. IEEE Signal Processing Letters. 18(6). 371–374. 18 indexed citations
11.
Fernández, Rodrigo, et al.. (2010). Effect of door width, platform height and fare collection on bus dwell time. A laboratory study. UCL Discovery (University College London). 1 indexed citations
12.
Fernández, Rodrigo, et al.. (2010). Influence of Platform Height, Door Width, and Fare Collection on Bus Dwell Time. Transportation Research Record Journal of the Transportation Research Board. 2143(1). 59–66. 64 indexed citations
13.
Estévez, P. A., P. Huijse, Pablo Zegers, José C. Prı́ncipe, & Pavlos Protopapas. (2010). Period detection in light curves from astronomical objects using correntropy. 1–7.
14.
Ruiz‐del‐Solar, Javier, et al.. (2009). Learning to fall: Designing low damage fall sequences for humanoid soccer robots. Robotics and Autonomous Systems. 57(8). 796–807. 31 indexed citations
15.
Zegers, Pablo, et al.. (2006). Exponential Transitions: Telltale Sign of Consistency in Learning Systems. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 2. 1533–1539.
16.
Fueten, Frank, Robert Stesky, Pablo Zegers, et al.. (2005). Attitude Determination of Geological Layers Using HRSC Data and Orion Software. elib (German Aerospace Center). 1 indexed citations
17.
Zegers, Pablo & Malur K. Sundareshan. (2005). Systematic testing of generalization level during training in regression-type learning scenarios. 4. 2807–2812. 5 indexed citations
18.
Zegers, Pablo & Malur K. Sundareshan. (2003). Trajectory generation and modulation using dynamic neural networks. IEEE Transactions on Neural Networks. 14(3). 520–533. 26 indexed citations
19.
20.
Sundareshan, Malur K. & Pablo Zegers. (1999). <title>Role of over-sampled data in superresolution processing and a progressive up-sampling scheme for optimized implementations of iterative restoration algorithms</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3703. 155–166. 4 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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