Dana Kulić

9.2k total citations · 1 hit paper
206 papers, 5.9k citations indexed

About

Dana Kulić is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Dana Kulić has authored 206 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Control and Systems Engineering, 71 papers in Computer Vision and Pattern Recognition and 67 papers in Biomedical Engineering. Recurrent topics in Dana Kulić's work include Human Pose and Action Recognition (46 papers), Robot Manipulation and Learning (45 papers) and Anomaly Detection Techniques and Applications (29 papers). Dana Kulić is often cited by papers focused on Human Pose and Action Recognition (46 papers), Robot Manipulation and Learning (45 papers) and Anomaly Detection Techniques and Applications (29 papers). Dana Kulić collaborates with scholars based in Canada, Australia and Japan. Dana Kulić's co-authors include Elizabeth A. Croft, Christoph Bartneck, Susana Zoghbi, Yoshihiko Nakamura, Jonathan Feng-Shun Lin, Gentiane Venture, Wataru Takano, Michelle Karg, Rob Gorbet and Sandra Hirche and has published in prestigious journals such as Scientific Reports, Automatica and IEEE Access.

In The Last Decade

Dana Kulić

195 papers receiving 5.7k citations

Hit Papers

Measurement Instruments for the Anthropomorphism, Animacy... 2008 2026 2014 2020 2008 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dana Kulić Canada 34 2.2k 1.9k 1.7k 1.4k 1.1k 206 5.9k
Elizabeth A. Croft Canada 35 2.4k 1.1× 1.5k 0.8× 2.5k 1.4× 1.3k 0.9× 711 0.6× 177 6.2k
Illah Nourbakhsh United States 34 2.4k 1.1× 1.7k 0.9× 1.4k 0.8× 2.1k 1.6× 272 0.2× 130 6.2k
Minoru Asada Japan 36 1.2k 0.6× 2.2k 1.1× 1.5k 0.9× 1.8k 1.3× 1.2k 1.1× 412 6.6k
Norihiro Hagita Japan 47 4.5k 2.0× 2.6k 1.3× 2.1k 1.2× 2.0k 1.5× 325 0.3× 354 7.7k
Terrence Fong United States 29 2.7k 1.2× 1.4k 0.7× 1.7k 1.0× 1.1k 0.8× 339 0.3× 84 5.2k
Yiannis Demiris United Kingdom 34 1.2k 0.5× 1.2k 0.6× 1.4k 0.8× 1.3k 1.0× 512 0.5× 235 4.3k
Bilge Mutlu United States 49 3.9k 1.8× 2.3k 1.2× 1.4k 0.8× 1.1k 0.8× 229 0.2× 206 6.9k
Maya Çakmak United States 34 1.3k 0.6× 1.9k 1.0× 1.7k 1.0× 959 0.7× 340 0.3× 132 4.3k
Guy Hoffman United States 36 2.4k 1.1× 1.3k 0.7× 1.1k 0.6× 576 0.4× 214 0.2× 121 3.8k
Ben Kröse Netherlands 41 1.4k 0.6× 2.3k 1.2× 543 0.3× 3.1k 2.3× 436 0.4× 228 7.0k

Countries citing papers authored by Dana Kulić

Since Specialization
Citations

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

Fields of papers citing papers by Dana Kulić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Kulić

This figure shows the co-authorship network connecting the top 25 collaborators of Dana Kulić. A scholar is included among the top collaborators of Dana Kulić 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 Dana Kulić. Dana Kulić 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
1.
Beck, Ben, et al.. (2025). A benchmark for cycling close pass detection from video streams. Transportation Research Part C Emerging Technologies. 174. 105112–105112.
2.
Croft, Elizabeth A., et al.. (2025). GPT-Driven Gestures: Leveraging Large Language Models to Generate Expressive Robot Motion for Enhanced Human-Robot Interaction. IEEE Robotics and Automation Letters. 10(5). 4172–4179. 4 indexed citations
3.
Tian, Leimin, Pavan Sikka, Jason Williams, et al.. (2025). A Framework for Dynamic Situational Awareness in Human–Robot Teams: An Interview Study. ACM Transactions on Human-Robot Interaction. 15(1). 1–37. 1 indexed citations
4.
Loos, H. F. Machiel Van der, et al.. (2025). How Can Everyday Users Efficiently Teach Robots by Demonstration?. ACM Transactions on Human-Robot Interaction. 14(4). 1–22.
5.
Love, R.P., Philip R. Cohen, Gentiane Venture, & Dana Kulić. (2025). Adapting a Teachable Robot’s Dialog Responses Using Reinforcement Learning: Cross-Cultural User Study Exploring Effect on Engagement. ACM Transactions on Human-Robot Interaction. 14(4). 1–34.
6.
Wu, Tina L. Y., Anna Murphy, Chao Chen, & Dana Kulić. (2024). Adaptive auditory assistance for stride length cadence modification in older adults and people with Parkinson’s. Frontiers in Physiology. 15. 1284236–1284236. 1 indexed citations
7.
Robinson, Nicole, Jason Williams, David Howard, et al.. (2024). Human-Robot Team Performance Compared to Full Robot Autonomy in 16 Real-World Search and Rescue Missions: Adaptation of the DARPA Subterranean Challenge. ACM Transactions on Human-Robot Interaction. 14(1). 1–30.
8.
Croft, Elizabeth A., et al.. (2024). Learning to Communicate Functional States With Nonverbal Expressions for Improved Human-Robot Collaboration. IEEE Robotics and Automation Letters. 9(6). 5393–5400. 1 indexed citations
9.
Sumartojo, Shanti, et al.. (2024). Contingent autonomy: Robotic encounters in an uncertain world. Environment and Planning D Society and Space. 44(1). 96–113. 3 indexed citations
10.
Wu, Tina L. Y., Anna Murphy, Chao Chen, & Dana Kulić. (2023). Adaptive cueing strategy for gait modification: A case study using auditory cues. Frontiers in Neurorobotics. 17. 1127033–1127033. 4 indexed citations
11.
Chen, Zhen, Tomislav Baček, Denny Oetomo, Ying Tan, & Dana Kulić. (2023). Inverse Optimal Control for Dynamic Systems with Inequality Constraints. IFAC-PapersOnLine. 56(2). 10601–10607.
12.
Tian, Leimin, et al.. (2023). Crafting with a Robot Assistant. 252–260. 5 indexed citations
13.
Smith, Stephen L., et al.. (2022). Joint Estimation of Expertise and Reward Preferences From Human Demonstrations. IEEE Transactions on Robotics. 39(1). 681–698. 2 indexed citations
14.
Malliaras, Peter, et al.. (2022). Real-time forecasting of exercise-induced fatigue from wearable sensors. Computers in Biology and Medicine. 148. 105905–105905. 17 indexed citations
15.
Robinson, Nicole, et al.. (2022). Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review. ACM Transactions on Human-Robot Interaction. 12(1). 1–66. 44 indexed citations
16.
Newbury, R., et al.. (2022). Visibility Maximization Controller for Robotic Manipulation. IEEE Robotics and Automation Letters. 7(3). 8479–8486. 16 indexed citations
17.
Coronado, Enrique, Leimin Tian, Dana Kulić, et al.. (2021). Towards a Modular and Distributed End-User Development Framework for Human-Robot Interaction. IEEE Access. 9. 12675–12692. 17 indexed citations
18.
Jin, Wanxin, Dana Kulić, Shaoshuai Mou, & Sandra Hirche. (2021). Inverse optimal control from incomplete trajectory observations. The International Journal of Robotics Research. 40(6-7). 848–865. 28 indexed citations
19.
Jin, Wanxin, Dana Kulić, Jonathan Feng-Shun Lin, Shaoshuai Mou, & Sandra Hirche. (2019). Inverse Optimal Control for Multiphase Cost Functions. IEEE Transactions on Robotics. 35(6). 1387–1398. 37 indexed citations
20.
Bonnet, Vincent, et al.. (2017). Rhythmic Extended Kalman Filter for Gait Rehabilitation Motion Estimation and Segmentation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(2). 407–418. 28 indexed citations

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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