Maja Stikic
-
- Context-Aware Activity Recognition Systems 7
- Human-Computer Interaction top 5%
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 5
- Neural and Behavioral Psychology Studies 4
- Transportation top 10%
-
- Sleep and Work-Related Fatigue 2
-
- Heart Rate Variability and Autonomic Control 3
-
- Anomaly Detection Techniques and Applications 2
-
- Complex Systems and Decision Making 1
-
- Indoor and Outdoor Localization Technologies 1
- Co-authors
- Bernt SchieleKristof Van LaerhovenChris BerkaRobin R. JohnsonDiane LarlusTâm HuỳnhSandra EbertDaniel J. Levendowski
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Frontiers in Psychology (1 paper)Frontiers in Neuroscience (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Maja Stikic
17 papers receiving 799 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 413
- Human-Computer Interaction 69
- Cognitive Neuroscience 193
- Transportation 60
- Experimental and Cognitive Psychology 112
Countries citing papers authored by Maja Stikic
This map shows the geographic impact of Maja Stikic'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 Maja Stikic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Stikic more than expected).
Fields of papers citing papers by Maja Stikic
This network shows the impact of papers produced by Maja Stikic. 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 Maja Stikic. The network helps show where Maja Stikic may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maja Stikic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 7 | |
| 2 | 2019 | 52 | |
| 3 | 2016 | 3 | |
| 4 | 2015 | 19 | |
| 5 | 2015 | 11 | |
| 6 | 2014 | 32 | |
| 7 | 2014 | 73 | |
| 8 | 2013 | 16 | |
| 9 | 2011 | 105 | |
| 10 | 2011 | 36 | |
| 11 | 2011 | 119 | |
| 12 | 2009 | 51 | |
| 13 | 2008 | 36 | |
| 14 | 2008 | 143 | |
| 15 | 2008 | 116 | |
| 16 | Recording Housekeeping Activities with Situated Tags and Wrist-Worn Sensors: Experiment Setup and Issues Encountered | 2007 | 4 |
| 17 | 2007 | 16 |
About Maja Stikic
Maja Stikic is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 17 papers that have together received 839 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (7 papers), EEG and Brain-Computer Interfaces (5 papers), Neural and Behavioral Psychology Studies (4 papers), Heart Rate Variability and Autonomic Control (3 papers), Sleep and Work-Related Fatigue (2 papers), Anomaly Detection Techniques and Applications (2 papers), Complex Systems and Decision Making (1 paper) and Indoor and Outdoor Localization Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (413 citations), Human-Computer Interaction (69 citations) and Cognitive Neuroscience (193 citations). Maja Stikic has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Bernt Schiele, Kristof Van Laerhoven, Chris Berka, Robin R. Johnson, Diane Larlus, Tâm Huỳnh, Sandra Ebert, Daniel J. Levendowski, Djordje Popovic and Richard Olmstead. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Frontiers in Psychology and Frontiers in 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.