Daniel Cernea

854 citations
29 papers · 676 · h-index 11

Impact in

Papers in

Daniel Cernea

29 papers receiving 643 citations

Peers

Daniel Cernea
Comparison fields: 5 of 91
  • Human-Computer Interaction 200
  • Computer Vision and Pattern Recognition 402
  • Information Systems and Management 70
  • Computer Graphics and Computer-Aided Design 26
  • Geography, Planning and Development 29
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Daniel Cernea relative to Achim Ebert Germany Achim Ebert's profile →
Citations per field
00.5×1.7×
Achim Ebert · 1×
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 24 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011235
2 2011193
3 201127
4 201026
5 201525
6
Detecting Insight and Emotion in Visualization Applications with a Commercial EEG Headset
201125
7 201014
8 201314
9 201512
10 201212
11 201211
12 201210
13 201310
14 20168
15 20108
16 20166
17
Group Affective Tone Awareness and Regulation through Virtual Agents
20145
18
Digital Interactive Public Pinboards for Disaster and Crisis Management : Concept and Prototype Design
20125
19
Visualizing Group Affective Tone in Collaborative Scenarios
20144
20
Controlling In-Vehicle Systems with a Commercial EEG Headset: Performance and Cognitive Load.
20114

About Daniel Cernea

Daniel Cernea is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology, having authored 29 papers that have together received 676 indexed citations. Recurring topics across this work include Data Visualization and Analytics (10 papers), Color perception and design (5 papers), Multimedia Communication and Technology (5 papers), Interactive and Immersive Displays (5 papers), EEG and Brain-Computer Interfaces (5 papers), Emotion and Mood Recognition (5 papers), Gaze Tracking and Assistive Technology (5 papers) and Underwater Vehicles and Communication Systems (3 papers). The work is most often cited by research in Human-Computer Interaction (200 citations), Computer Vision and Pattern Recognition (402 citations), Information Systems and Management (70 citations), Computer Graphics and Computer-Aided Design (26 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, Achim Ebert, Kwan-Liu Ma, Jean Scholtz, Petra Isenberg, Hans Hagen, T. J. Jankun-Kelly, Harald Reiterer and Andrew Vande Moere. Their work appears in journals such as Information Visualization, Journal of Visual Languages & Computing, Lecture notes in computer science, KI - Künstliche Intelligenz and Communications in computer and information science.

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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