Daniel Szafır

32 papers and 331 indexed citations i.

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 32 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 14 papers in Social Psychology and 9 papers in Human-Computer Interaction. Recurrent topics in Daniel Szafır’s work include Human-Automation Interaction and Safety (9 papers), Augmented Reality Applications (8 papers) and Virtual Reality Applications and Impacts (6 papers). Daniel Szafır is often cited by papers focused on Human-Automation Interaction and Safety (9 papers), Augmented Reality Applications (8 papers) and Virtual Reality Applications and Impacts (6 papers). Daniel Szafır collaborates with scholars based in United States, United Kingdom and Canada. Daniel Szafır's co-authors include Bilge Mutlu, Terrence Fong, Hooman Hedayati, Michael E. Walker, Tathagata Chakraborti, Tom Williams, Sean Andrist, Irene Rae, Michael Walker and Daniel Leithinger 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

Co-authorship network of co-authors of Daniel Szafır i

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.

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).

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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2025