Maja Stikic
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Bernt SchieleKristof Van LaerhovenChris BerkaRobin R. JohnsonDiane LarlusTâm HuỳnhSandra EbertDaniel J. Levendowski
- Topics
- Context-Aware Activity Recognition Systems (7 papers)EEG and Brain-Computer Interfaces (5 papers)Neural and Behavioral Psychology Studies (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceFrontiers in PsychologyFrontiers in Neuroscience
- 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
- Cognitive Neuroscience 193
- Artificial Intelligence 190
- Computer Networks and Communications 181
- 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 of co-authors of Maja Stikic
This figure shows the co-authorship network connecting the top 25 collaborators of Maja Stikic. A scholar is included among the top collaborators of Maja Stikic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maja Stikic. Maja Stikic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 52 | |
| 3 | 3 | |
| 4 | 19 | |
| 5 | 11 | |
| 6 | 32 | |
| 7 | 73 | |
| 8 | 16 | |
| 9 | 105 | |
| 10 | 36 | |
| 11 | 119 | |
| 12 | 51 | |
| 13 | 36 | |
| 14 | 143 | |
| 15 | 116 | |
| 16 | Recording Housekeeping Activities with Situated Tags and Wrist-Worn Sensors: Experiment Setup and Issues Encountered | 4 |
| 17 | 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) and Neural and Behavioral Psychology Studies (4 papers). 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.