Roberto Martín-Martín

4.5k citations
48 papers · 1.8k indexed · 2 hit papers · h-index 21

Roberto Martín-Martín

46 papers receiving 1.7k citations

Hit Papers

DenseFusion: 6D Object Pose Estimation by Iterative Dense...201920262021202320192023200400600

Peers

Roberto Martín-Martín
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 1.0k
  • Control and Systems Engineering 992
  • Aerospace Engineering 627
  • Artificial Intelligence 296
  • Biomedical Engineering 260
Replace Danfei Xu with:
Danfei Xu United States
Arjun Singh United States
Jeannette Bohg United States
Arsalan Mousavian United States
Jun Takamatsu Japan
Ankur Handa United Kingdom
Alberto Rodríguez United States
Josep Tornero Spain
Udo Frese Germany
Berk Çallı United States
Roberto Martín-Martín relative to Danfei Xu United States Danfei Xu's profile →
Citations per field
00.5×1.5×
Danfei Xu · 1×
Citations per year

Countries citing papers authored by Roberto Martín-Martín

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Martín-Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Martín-Martín. 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 Roberto Martín-Martín. The network helps show where Roberto Martín-Martín may publish in the future.

Co-authorship network of co-authors of Roberto Martín-Martín

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Martín-Martín. A scholar is included among the top collaborators of Roberto Martín-Martín 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 Roberto Martín-Martín. Roberto Martín-Martín 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
#WorkIndexed citations
1 1
2 2
3 3
4 2
5 32
6 1
7 0
8 3
9 64
10 1
11 96
12 54
13
JRDB: A Dataset and Benchmark for Visual Perception for Navigation in Human Environments.
9
14
Interactive Gibson: Benchmark for Interactive Navigation in Cluttered Environments
1
15 18
16 21
17 4
18
Building Kinematic and Dynamic Models of Articulated Objects with Multi-Modal Interactive Perception.
3
19 23
20 34

About Roberto Martín-Martín

Roberto Martín-Martín is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Human-Computer Interaction, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (23 papers), Robotics and Sensor-Based Localization (14 papers) and Human Pose and Action Recognition (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Control and Systems Engineering (992 citations) and Human-Computer Interaction (175 citations). Roberto Martín-Martín has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Silvio Savarese, Li Fei-Fei, Danfei Xu, Yuke Zhu, Cewu Lu, Chen Wang, Oliver Brock, Sebastian Höfer, Clemens Eppner and Rico Jonschkowski. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The International Journal of Robotics Research and Autonomous Robots.

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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