Kai Essig

844 citations
42 papers · 645 · h-index 11

Impact in

Papers in

Kai Essig

39 papers receiving 622 citations

Peers

Kai Essig
Comparison fields: 5 of 87
  • Human-Computer Interaction 261
  • Computer Vision and Pattern Recognition 236
  • Cognitive Neuroscience 164
  • Developmental and Educational Psychology 110
  • Orthopedics and Sports Medicine 40
Replace Gabriel J. Diaz with:
Gabriel J. Diaz United States
Alexis D. Souchet France
Manuela Chessa Italy
Serban R. Pop United Kingdom
Francisco Raul Ortega United States
Adrià Recasens United States
Ilsun Rhiu South Korea
Felix Kosmalla Germany
Timo Tossavainen Finland
Florian Daiber Germany
Kai Essig relative to Gabriel J. Diaz United States Gabriel J. Diaz's profile →
Citations per field
00.5×1.5×
Gabriel J. Diaz · 1×
Citations per year

Countries citing papers authored by Kai Essig

Since Specialization
Citations

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

Fields of papers citing papers by Kai Essig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Essig, 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 Kai Essig Line = papers co-authored together Kai Essig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017161
2 201479
3 200064
4 201563
5 200549
6 201628
7 201227
8 202024
9 201122
10 201621
11 201919
12
Application of a Novel Neural Approach to 3D Gaze Tracking: Vergence Eye-Movements in Autostereograms
200411
13 19908
14 20218
15 20207
16
Fully-automatic annotation of scene vidoes: Establish eye tracking effectively in various industrial applications
20106
17 20135
18 20155
19
JVideoGazer - Towards an Automatic Annotation of Gaze Videos from Natural Scenes
20114
20
Towards an Understanding of Grasping using a Multi-Sensing Approach
20114

About Kai Essig

Kai Essig is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Social Psychology and Developmental and Educational Psychology, having authored 42 papers that have together received 645 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (12 papers), Action Observation and Synchronization (7 papers), Sport Psychology and Performance (6 papers), Image Retrieval and Classification Techniques (4 papers), EEG and Brain-Computer Interfaces (4 papers), Augmented Reality Applications (4 papers), Hand Gesture Recognition Systems (4 papers) and Human-Automation Interaction and Safety (3 papers). The work is most often cited by research in Human-Computer Interaction (261 citations), Computer Vision and Pattern Recognition (236 citations), Cognitive Neuroscience (164 citations), Developmental and Educational Psychology (110 citations) and Orthopedics and Sports Medicine (40 citations). Kai Essig has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Thomas Schack, Helge Joachim Ritter, Thies Pfeiffer, Patrick Renner, Jonas Blattgerste, Dirk Koester, Chiou‐Shann Fuh, Marc Pomplun, Cornelia Frank and Andreas Knoblauch. Their work appears in journals such as Frontiers in Psychology, PLoS ONE, Perception, Applied Sciences and Frontiers in Human Neuroscience.

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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