Jakub Lokoč
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Co-authors
- Tomáš SkopalTomáš SoučekKlaus SchoeffmannWerner BailerCathal GurrinLuca RossettoWolfgang HürstMinh–Triet Tran
- Topics
- Advanced Image and Video Retrieval Techniques (44 papers)Video Analysis and Summarization (33 papers)Multimodal Machine Learning Applications (30 papers)
- Journals
- Expert Systems with ApplicationsIEEE AccessIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- CzechiaAustriaSwitzerland
In The Last Decade
Jakub Lokoč
64 papers receiving 811 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 729
- Artificial Intelligence 248
- Signal Processing 125
- Computer Networks and Communications 64
- Information Systems 50
Countries citing papers authored by Jakub Lokoč
This map shows the geographic impact of Jakub Lokoč'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 Jakub Lokoč with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub Lokoč more than expected).
Fields of papers citing papers by Jakub Lokoč
This network shows the impact of papers produced by Jakub Lokoč. 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 Jakub Lokoč. The network helps show where Jakub Lokoč may publish in the future.
Co-authorship network of co-authors of Jakub Lokoč
This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Lokoč. A scholar is included among the top collaborators of Jakub Lokoč 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 Jakub Lokoč. Jakub Lokoč is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | 24 | |
| 9 | 26 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 29 | |
| 14 | 28 | |
| 15 | 7 | |
| 16 | CUNI at MediaEval 2014 Search and Hyperlinking Task: Visual and Prosodic Features in Hyperlinking | 2 |
| 17 | 2 | |
| 18 | Answering Metric Skyline Queries by PM-tree | 2 |
| 19 | 1 | |
| 20 | 15 |
About Jakub Lokoč
Jakub Lokoč is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 66 papers that have together received 843 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (44 papers), Video Analysis and Summarization (33 papers) and Multimodal Machine Learning Applications (30 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (729 citations), Signal Processing (125 citations) and Artificial Intelligence (248 citations). Jakub Lokoč has collaborated with scholars based in Czechia, Austria and Switzerland. Frequent co-authors include Tomáš Skopal, Tomáš Souček, Klaus Schoeffmann, Werner Bailer, Cathal Gurrin, Luca Rossetto, Wolfgang Hürst, Minh–Triet Tran, Björn Þór Jónsson and Christian Beecks. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Knowledge and Data Engineering.
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.