Daniel Szafır

2.3k total citations
60 papers, 1.4k citations indexed

About

Daniel Szafır is a scholar working on Computer Vision and Pattern Recognition, Social Psychology and Human-Computer Interaction. According to data from OpenAlex, Daniel Szafır has authored 60 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 25 papers in Social Psychology and 18 papers in Human-Computer Interaction. Recurrent topics in Daniel Szafır's work include Augmented Reality Applications (14 papers), Human-Automation Interaction and Safety (13 papers) and Social Robot Interaction and HRI (13 papers). Daniel Szafır is often cited by papers focused on Augmented Reality Applications (14 papers), Human-Automation Interaction and Safety (13 papers) and Social Robot Interaction and HRI (13 papers). Daniel Szafır collaborates with scholars based in United States, United Kingdom and Australia. Daniel Szafır's co-authors include Bilge Mutlu, Michael E. Walker, Hooman Hedayati, Terrence Fong, Terry Fong, Jennifer Lee, Danielle Albers Szafir, Tom Williams, Tathagata Chakraborti and Heni Ben Amor and has published in prestigious journals such as ACM Computing Surveys, The International Journal of Robotics Research and Frontiers in Neuroscience.

In The Last Decade

Daniel Szafır

52 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Szafır United States 16 547 477 467 333 277 60 1.4k
Ehud Sharlin Canada 23 999 1.8× 529 1.1× 943 2.0× 255 0.8× 405 1.5× 148 2.2k
Dylan F. Glas Japan 23 900 1.6× 603 1.3× 386 0.8× 428 1.3× 184 0.7× 51 1.8k
Takahiro Miyashita Japan 21 758 1.4× 694 1.5× 322 0.7× 559 1.7× 166 0.6× 101 1.8k
Miguel Á. Salichs Spain 23 571 1.0× 929 1.9× 228 0.5× 481 1.4× 189 0.7× 150 2.3k
Tevfik Metin Sezgin Türkiye 19 246 0.4× 429 0.9× 369 0.8× 307 0.9× 322 1.2× 81 1.2k
Emrah Akin Sisbot United States 15 602 1.1× 435 0.9× 183 0.4× 491 1.5× 216 0.8× 35 1.4k
Perttu Hämäläinen Finland 25 129 0.2× 572 1.2× 721 1.5× 324 1.0× 210 0.8× 79 1.7k
Marc Hanheide United Kingdom 24 431 0.8× 620 1.3× 118 0.3× 340 1.0× 96 0.3× 144 1.6k
Fulvio Mastrogiovanni Italy 23 190 0.3× 450 0.9× 210 0.4× 499 1.5× 361 1.3× 145 1.6k
Ádám Csapó Hungary 18 143 0.3× 379 0.8× 475 1.0× 853 2.6× 311 1.1× 86 1.9k

Countries citing papers authored by Daniel Szafır

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Szafır

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Szafır

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Szafır. A scholar is included among the top collaborators of Daniel Szafır 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 Daniel Szafır. Daniel Szafır 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
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Ahmed, Nisar, et al.. (2024). Event-triggered robot self-assessment to aid in autonomy adjustment. Frontiers in Robotics and AI. 10. 1294533–1294533. 2 indexed citations
4.
Bertasius, Gedas, et al.. (2024). ARCADE: Scalable Demonstration Collection and Generation via Augmented Reality for Imitation Learning. 2855–2861. 2 indexed citations
5.
Szafır, Daniel, et al.. (2023). Training augmentation using additive sensory noise in a lunar rover navigation task. Frontiers in Neuroscience. 17. 1180314–1180314. 4 indexed citations
6.
Walker, Michael, et al.. (2023). Virtual, Augmented, and Mixed Reality for Human-robot Interaction: A Survey and Virtual Design Element Taxonomy. ACM Transactions on Human-Robot Interaction. 12(4). 1–39. 53 indexed citations
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Szafır, Daniel, et al.. (2023). Assistance in Teleoperation of Redundant Robots through Predictive Joint Maneuvering. ACM Transactions on Human-Robot Interaction. 13(3). 1–23. 1 indexed citations
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Hedayati, Hooman, et al.. (2022). Designing Expandable-Structure Robots for Human-Robot Interaction. Frontiers in Robotics and AI. 9. 719639–719639. 6 indexed citations
10.
Szafır, Daniel, et al.. (2022). “I'm Confident This Will End Poorly”: Robot Proficiency Self-Assessment in Human-Robot Teaming. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2127–2134. 5 indexed citations
11.
Szafır, Daniel, et al.. (2021). ARC-LfD: Using Augmented Reality for Interactive Long-Term Robot Skill Maintenance via Constrained Learning from Demonstration. CU Scholar (University of Colorado Boulder). 3794–3800. 23 indexed citations
12.
Walker, Michael E., et al.. (2021). A Mixed Reality Supervision and Telepresence Interface for Outdoor Field Robotics. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2345–2352. 7 indexed citations
13.
Szafır, Daniel & Danielle Albers Szafir. (2021). Connecting Human-Robot Interaction and Data Visualization. 281–292. 27 indexed citations
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Walker, Michael, et al.. (2020). Virtual Reality Simulator for Telerobotics Research to Enable Artemis and the FARSIDE Low Frequency Radio Telescope. LPICo. 2241. 5017.
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Fong, Terry, et al.. (2019). Everybody Needs Somebody Sometimes: Validation of Adaptive Recovery in Robotic Space Operations. IEEE Robotics and Automation Letters. 4(2). 1216–1223. 9 indexed citations
16.
Williams, Tom, Daniel Szafır, & Tathagata Chakraborti. (2019). The Reality-Virtuality Interaction Cube: A Framework for Conceptualizing Mixed-Reality Interaction Design Elements for HRI. 520–521. 5 indexed citations
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Hedayati, Hooman, et al.. (2019). HugBot. 556–561. 11 indexed citations
18.
Heckman, Christoffer, et al.. (2018). Failure is Not an Option: Policy Learning for Adaptive Recovery in Space Operations. IEEE Robotics and Automation Letters. 3(3). 1639–1646. 10 indexed citations
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Szafır, Daniel, et al.. (2018). Improving Object Disambiguation from Natural Language using Empirical Models. 477–485. 2 indexed citations
20.
Szafır, Daniel & Bilge Mutlu. (2012). Pay attention!. 11–20. 223 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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