Daniel Maturana

6.0k total citations · 2 hit papers
13 papers, 2.9k citations indexed

About

Daniel Maturana is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Automotive Engineering. According to data from OpenAlex, Daniel Maturana has authored 13 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Aerospace Engineering and 2 papers in Automotive Engineering. Recurrent topics in Daniel Maturana's work include Robotics and Sensor-Based Localization (9 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Neural Network Applications (4 papers). Daniel Maturana is often cited by papers focused on Robotics and Sensor-Based Localization (9 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Neural Network Applications (4 papers). Daniel Maturana collaborates with scholars based in United States, Chile and China. Daniel Maturana's co-authors include Sebastian Scherer, Bryan Russell, Mathieu Aubry, Alexei A. Efros, Josef Šivic, Álvaro Soto, Domingo Mery, Po-Wei Chou, Dieter Fox and Michael Krainin and has published in prestigious journals such as The International Journal of Robotics Research, Journal of Intelligent & Robotic Systems and International Conference on Machine Learning.

In The Last Decade

Daniel Maturana

13 papers receiving 2.8k 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.

VoxNet: A 3D Convolutional Neural Network for real-time object recognition

2015 2.2k citations Daniel Maturana, Sebastian Scherer profile →
Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models

2014 250 citations Mathieu Aubry, Daniel Maturana et al. profile →

Peers

Countries citing papers authored by Daniel Maturana

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Maturana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Maturana

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Maturana. A scholar is included among the top collaborators of Daniel Maturana 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 Daniel Maturana. Daniel Maturana 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

#	Work	Indexed citations
1	Improving Learning-based Ego-motion Estimation with Homomorphism-based Losses and Drift Correction 2019 ·Xiangwei Wang, Daniel Maturana, Shichao Yang, Wenshan Wang, Qijun Chen, Sebastian Scherer	10
2	Improving stochastic policy gradients in continuous control with deep reinforcement learning using the Beta distribution 2017 ·International Conference on Machine Learning ·Po-Wei Chou, Daniel Maturana, Sebastian Scherer	48
3	Wire detection using synthetic data and dilated convolutional networks for unmanned aerial vehicles 2017 ·(unknown), Daniel Maturana, Sebastian Scherer	45
4	dimatura/scrollgrid: First public version 2017 ·Zenodo (CERN European Organization for Nuclear Research) ·Daniel Maturana, (unknown), (unknown), (unknown)	1
5	Looking forward: A semantic mapping system for scouting with micro-aerial vehicles 2017 ·Daniel Maturana, Sankalp Arora, Sebastian Scherer	13
6	Real-time 3D scene layout from a single image using Convolutional Neural Networks 2016 ·Shichao Yang, Daniel Maturana, Sebastian Scherer	24
7	VoxNet: A 3D Convolutional Neural Network for real-time object recognition breakdown → 2015 ·Daniel Maturana, Sebastian Scherer	2154
8	3D Convolutional Neural Networks for landing zone detection from LiDAR 2015 ·Daniel Maturana, Sebastian Scherer	133
9	Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models breakdown → 2014 ·Mathieu Aubry, Daniel Maturana, Alexei A. Efros, Bryan Russell, Josef Šivic	250
10	Estimation, planning, and mapping for autonomous flight using an RGB-D camera in GPS-denied environments 2012 ·The International Journal of Robotics Research ·Abraham Bachrach, Samuel Prentice, Ruijie He, Peter Henry, Albert S. Huang, Michael Krainin, Daniel Maturana, Dieter Fox, Nicholas Roy	120
11	Learning discriminative local binary patterns for face recognition 2011 ·Daniel Maturana, Domingo Mery, Álvaro Soto	47
12	Indoor Mobile Robotics at Grima, PUC 2011 ·Journal of Intelligent & Robotic Systems ·(unknown), (unknown), (unknown), (unknown), Daniel Maturana, (unknown), (unknown), Stefan Pszczółkowski, (unknown), Domingo Mery, Miguel Torres‐Torriti, Álvaro Soto	1
13	Face Recognition with Local Binary Patterns, Spatial Pyramid Histograms and Naive Bayes Nearest Neighbor Classification 2009 ·Daniel Maturana, Domingo Mery, Álvaro Soto	45

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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