Daniel Cernea

12 papers and 321 indexed citations i.

About

Daniel Cernea is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Daniel Cernea has authored 12 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Human-Computer Interaction, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Daniel Cernea’s work include Data Visualization and Analytics (4 papers), Emotion and Mood Recognition (4 papers) and Underwater Acoustics Research (3 papers). Daniel Cernea is often cited by papers focused on Data Visualization and Analytics (4 papers), Emotion and Mood Recognition (4 papers) and Underwater Acoustics Research (3 papers). Daniel Cernea collaborates with scholars based in Germany, Sweden and United States. Daniel Cernea's co-authors include Niklas Elmqvist, Petra Isenberg, Jean Scholtz, Kwan-Liu Ma, Hans Hagen, T. J. Jankun-Kelly, Harald Reiterer, Hans-Christian Jetter, Andrew Vande Moere and Andreas Kerren and has published in prestigious journals such as Information Visualization, Journal of Visual Languages & Computing and KI - Künstliche Intelligenz.

In The Last Decade

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

Fields of papers citing papers by Daniel Cernea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Cernea

Since Specialization
Citations

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