Mila Popović

448 citations
13 papers · 313 indexed · h-index 8
Topics
Robot Manipulation and Learning (9 papers)Robotics and Sensor-Based Localization (6 papers)Visual Attention and Saliency Detection (2 papers)

In The Last Decade

Mila Popović

13 papers receiving 295 citations

Peers

Mila Popović
Comparison fields: 5 of 26
  • Control and Systems Engineering 235
  • Computer Vision and Pattern Recognition 107
  • Biomedical Engineering 94
  • Aerospace Engineering 88
  • Artificial Intelligence 79
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Zhixing Xue Germany
Damir Omrčen Slovenia
Akshara Rai United States
Marianna Madry Sweden
Niklas Bergström Japan
Maxime Adjigble United Kingdom
KeJun Ning Germany
Ziyuan Jiao China
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Citations per year

Countries citing papers authored by Mila Popović

Since Specialization
Citations

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

Fields of papers citing papers by Mila Popović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mila Popović

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 2
2 24
3 21
4
Grasping Unknown Objects in an Early Cognitive Vision System
1
5 39
6
Grasp Learning by Means of Developing Sensorimotor Schemas and Generic World Knowledge
3
7
Early Cognitive Vision as a Frontend for Cognitive Systems
6
8 77
9 48
10 14
11
Autonomous Learning of Object-specific Grasp Affordance Densities
2
12
Exploration and Planning in a Three-Level Cognitive Architecture
17
13 59

About Mila Popović

Mila Popović is a scholar working on Control and Systems Engineering, Aerospace Engineering and Human-Computer Interaction, having authored 13 papers that have together received 313 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), Robotics and Sensor-Based Localization (6 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Control and Systems Engineering (235 citations), Human-Computer Interaction (33 citations) and Computer Vision and Pattern Recognition (107 citations). Mila Popović has collaborated with scholars based in Denmark, Sweden and United Kingdom. Frequent co-authors include Norbert Krüger, Danica Kragić, Emre Başeski, Dirk Kraft, Nicolas Pugeault, Gert Kootstra, Jimmy Alison Jørgensen, Leon Bodenhagen, Tamim Asfour and Florentin Wörgötter. Their work appears in journals such as SHILAP Revista de lepidopterología, The International Journal of Robotics Research and Robotics and Autonomous Systems.

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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