Daniel Cernea

854 citations
23 papers · 527 · h-index 10

Impact in

Papers in

Daniel Cernea

23 papers receiving 504 citations

Peers

Daniel Cernea
Comparison fields: 5 of 81
  • Human-Computer Interaction 161
  • Computer Vision and Pattern Recognition 324
  • Information Systems and Management 61
  • Computer Graphics and Computer-Aided Design 23
  • Geography, Planning and Development 29
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Beth Yost United States
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Tanja Blascheck Germany
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Citations per field
00.5×3.3×
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Citations per year

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).

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.

Co-authors

The 19 scholars most cited alongside Daniel Cernea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Cernea Line = papers co-authored together Daniel Cernea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011202
2 2011169
3 201524
4
Detecting Insight and Emotion in Visualization Applications with a Commercial EEG Headset
201119
5 201013
6 201313
7 201511
8 201211
9 20139
10 20129
11 20108
12 20167
13 20165
14
Visualizing Group Affective Tone in Collaborative Scenarios
20144
15 20133
16
Group Affective Tone Awareness and Regulation through Virtual Agents
20143
17 20163
18
Controlling In-Vehicle Systems with a Commercial EEG Headset: Performance and Cognitive Load.
20113
19
User-Centered Collaborative Visualization
20153
20
Digital Interactive Public Pinboards for Disaster and Crisis Management : Concept and Prototype Design
20123

About Daniel Cernea

Daniel Cernea is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Social Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 23 papers that have together received 527 indexed citations. Recurring topics across this work include Data Visualization and Analytics (8 papers), Color perception and design (5 papers), Emotion and Mood Recognition (5 papers), EEG and Brain-Computer Interfaces (4 papers), Gaze Tracking and Assistive Technology (4 papers), Underwater Vehicles and Communication Systems (3 papers), Multimedia Communication and Technology (3 papers) and Interactive and Immersive Displays (3 papers). The work is most often cited by research in Human-Computer Interaction (161 citations), Computer Vision and Pattern Recognition (324 citations), Information Systems and Management (61 citations), Computer Graphics and Computer-Aided Design (23 citations) and Geography, Planning and Development (29 citations). Daniel Cernea has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Niklas Elmqvist, Andreas Kerren, Jean Scholtz, Kwan-Liu Ma, Petra Isenberg, Hans Hagen, Andrew Vande Moere, Harald Reiterer, T. J. Jankun-Kelly and Hans-Christian Jetter. Their work appears in journals such as Information Visualization, Journal of Visual Languages & Computing, KI - Künstliche Intelligenz, IFAC Proceedings Volumes and DiVA (Linnaeus 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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