J. Pablo Muñoz

471 total citations
13 papers, 244 citations indexed

About

J. Pablo Muñoz is a scholar working on Cognitive Neuroscience, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, J. Pablo Muñoz has authored 13 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 4 papers in Aerospace Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in J. Pablo Muñoz's work include Tactile and Sensory Interactions (5 papers), Robotics and Sensor-Based Localization (4 papers) and Indoor and Outdoor Localization Technologies (3 papers). J. Pablo Muñoz is often cited by papers focused on Tactile and Sensory Interactions (5 papers), Robotics and Sensor-Based Localization (4 papers) and Indoor and Outdoor Localization Technologies (3 papers). J. Pablo Muñoz collaborates with scholars based in United States. J. Pablo Muñoz's co-authors include Jizhong Xiao, Yingli Tian, Bing Li, Xuejian Rong, Aries Arditi, Xiaochen Zhang, Mario E. Magaña, Eduardo Cotilla‐Sanchez, Yi Sun and Chucai Yi and has published in prestigious journals such as IEEE Transactions on Mobile Computing, Machine Vision and Applications and IET Signal Processing.

In The Last Decade

J. Pablo Muñoz

12 papers receiving 229 citations

Peers

J. Pablo Muñoz

CN

HI

CVPR

AE

BC

Seita Kayukawa Japan

Joshua Lifton United States

Shinji Mizuno Japan

Ryan Janzen Canada

Vivek Pradeep United States

Koren Ward Australia

Nobuo Ezaki Japan

Jens Maiero Germany

Volker Settgast Austria

Peter Kán Austria

Seita Kayukawa Japan

J. Pablo Muñoz

212 ×1.4

CN

138 ×1.6

HI

89 ×1.2

CVPR

24 ×0.4

AE

44 ×0.8

BC

Citations per year, relative to J. Pablo Muñoz J. Pablo Muñoz (= 1×) peers Seita Kayukawa

Countries citing papers authored by J. Pablo Muñoz

Since Specialization

Citations

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

Fields of papers citing papers by J. Pablo Muñoz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Pablo Muñoz

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

All Works

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13 of 13 papers shown

1.

Muñoz, J. Pablo, et al.. (2024). SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models. 12817–12832. 1 indexed citations

2.

Yang, Liang, et al.. (2019). Visual odometry with a single-camera stereo omnidirectional system. Machine Vision and Applications. 30(7-8). 1145–1155. 10 indexed citations

3.

Li, Bing, J. Pablo Muñoz, Xuejian Rong, et al.. (2018). Vision-Based Mobile Indoor Assistive Navigation Aid for Blind People. IEEE Transactions on Mobile Computing. 18(3). 702–714. 152 indexed citations

4.

Muñoz, J. Pablo. (2018). Collaborative Appearance-Based Place Recognition and Improving Place Recognition Using Detection of Dynamic Objects. CUNY Academic Works (City University of New York).

5.

Muñoz, J. Pablo, et al.. (2018). Image Recognition of Disease-Carrying Insects: A System for Combating Infectious Diseases Using Image Classification Techniques and Citizen Science. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 4 indexed citations

6.

Muñoz, J. Pablo, Mario E. Magaña, & Eduardo Cotilla‐Sanchez. (2017). Adaptive master–slave unscented Kalman filter for grid voltage frequency estimation. IET Signal Processing. 12(4). 496–505. 15 indexed citations

7.

Muñoz, J. Pablo, Bing Li, Xuejian Rong, et al.. (2017). An Assistive Indoor Navigation System for the Visually Impaired in Multi-Floor Environments. 5355. 7–12. 6 indexed citations

8.

Muñoz, J. Pablo, Bing Li, Xuejian Rong, et al.. (2016). Demo: assisting visually impaired people navigate indoors. International Joint Conference on Artificial Intelligence. 4260–4261. 3 indexed citations

9.

Zhang, Xiaochen, Bing Li, Jizhong Xiao, et al.. (2015). A SLAM Based Semantic Indoor Navigation System for Visually Impaired Users. 1458–1463. 30 indexed citations

10.

Li, Bing, Xiaochen Zhang, J. Pablo Muñoz, et al.. (2015). Assisting blind people to avoid obstacles: An wearable obstacle stereo feedback system based on 3D detection. 2307–2311. 16 indexed citations

11.

Epstein, Susan L., et al.. (2012). Applying FORR to human/multi-robot teams. 3 indexed citations

12.

Sklar, Elizabeth, et al.. (2011). A framework in which robots and humans help each other. Lincoln Repository (University of Lincoln). 3 indexed citations

13.

Sklar, Elizabeth, Simon Parsons, José Luis Sánchez-López, et al.. (2010). Developing a framework for team-based robotics research. Lincoln Repository (University of Lincoln). 1 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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