Atıl Işçen

1.6k citations
16 papers · 839 indexed · 1 hit paper · h-index 10
Topics
Reinforcement Learning in Robotics (8 papers)Modular Robots and Swarm Intelligence (5 papers)Structural Analysis and Optimization (5 papers)

In The Last Decade

Atıl Işçen

15 papers receiving 816 citations

Hit Papers

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots20182026202020232018100200300

Peers

Atıl Işçen
Comparison fields: 5 of 71
  • Biomedical Engineering 326
  • Artificial Intelligence 280
  • Mechanical Engineering 270
  • Control and Systems Engineering 233
  • Civil and Structural Engineering 229
Replace Vytas SunSpiral with:
Vytas SunSpiral United States
Devin Balkcom United States
K.S. Rattan United States
Eric Cousineau United States
Gabriel J. García Spain
Masami Iwase Japan
Max Schwarz Germany
Hongkai Dai United States
Pengfei Wang China
Roi Poranne Israel
Atıl Işçen relative to Vytas SunSpiral United States Vytas SunSpiral's profile →
Citations per field
00.5×1.5×2.3×
Vytas SunSpiral · 1×
Citations per year

Countries citing papers authored by Atıl Işçen

Since Specialization
Citations

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

Fields of papers citing papers by Atıl Işçen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atıl Işçen

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 53
3 8
4 9
5
When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies
1
6 8
7 26
8 13
9
Sim-to-Real: Learning Agile Locomotion For Quadruped Robotsbreakdown →
379
10 25
11 191
12 58
13 33
14 30
15 4
16
A New Perspective to the Keepaway Soccer: The Takers (Short Paper)
1

About Atıl Işçen

Atıl Işçen is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Computer Science Applications, having authored 16 papers that have together received 839 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (8 papers), Modular Robots and Swarm Intelligence (5 papers) and Structural Analysis and Optimization (5 papers). The work is most often cited by research in Architecture (29 citations), Civil and Structural Engineering (229 citations) and Control and Systems Engineering (233 citations). Atıl Işçen has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Vytas SunSpiral, Ken Caluwaerts, Tingnan Zhang, Jie Tan, Vincent Vanhoucke, Erwin Coumans, Steven Bohez, Danijar Hafner, Yunfei Bai and Jonathan Bruce. Their work appears in journals such as Journal of The Royal Society Interface, Artificial Life and arXiv (Cornell University).

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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