Mustafa Mukadam

1.5k citations
30 papers · 753 indexed · h-index 15
Topics
Robot Manipulation and Learning (13 papers)Robotic Path Planning Algorithms (13 papers)Robotics and Sensor-Based Localization (11 papers)

In The Last Decade

Mustafa Mukadam

28 papers receiving 719 citations

Peers

Mustafa Mukadam
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 458
  • Control and Systems Engineering 390
  • Aerospace Engineering 228
  • Artificial Intelligence 194
  • Automotive Engineering 105
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Mustafa Mukadam

Since Specialization
Citations

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

Fields of papers citing papers by Mustafa Mukadam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mustafa Mukadam

This figure shows the co-authorship network connecting the top 25 collaborators of Mustafa Mukadam. A scholar is included among the top collaborators of Mustafa Mukadam 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 Mustafa Mukadam. Mustafa Mukadam 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 0
2 1
3 1
4 24
5 4
6 3
7 12
8 16
9 79
10
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm
1
11 4
12
Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations.
6
13
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping.
4
14 123
15
Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning.
39
16
Tactical Decision Making for Lane Changing with Deep Reinforcement Learning
59
17 6
18 77
19 79
20 14

About Mustafa Mukadam

Mustafa Mukadam is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 30 papers that have together received 753 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Robotic Path Planning Algorithms (13 papers) and Robotics and Sensor-Based Localization (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (458 citations), Control and Systems Engineering (390 citations) and Aerospace Engineering (228 citations). Mustafa Mukadam has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Byron Boots, Frank Dellaert, Jing Dong, Xinyan Yan, Abhinav Gupta, Leonidas Guibas, Shubham Tulsiani, Kaichun Mo, Alireza Nakhaei and Joseph D. Ortiz. Their work appears in journals such as The International Journal of Robotics Research, Science Robotics and IEEE Transactions on Automation Science and Engineering.

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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