Marcus Liwicki
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- Handwritten Text Recognition Techniques 127
- Image Processing and 3D Reconstruction 48
- Image Retrieval and Classification Techniques 41
- Advanced Image and Video Retrieval Techniques 33
- Advanced Neural Network Applications 19
- Media Technology top 0.5%
- Vehicle License Plate Recognition 20
- Human-Computer Interaction top 0.5%
- Hand Gesture Recognition Systems 18
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques 44
- Geology top 2%
- Co-authors
- Horst BunkeJürgen SchmidhuberAlexander GravesS. George FernandezRoman BertolamiAndreas DengelThomas M. BreuelWonmin Byeon
- Partner nations
- GermanySwedenSwitzerland
In The Last Decade
Marcus Liwicki
228 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Computer Vision and Pattern Recognition 3.4k
- Media Technology 797
- Human-Computer Interaction 416
- Artificial Intelligence 1.7k
- Geology 224
Countries citing papers authored by Marcus Liwicki
This map shows the geographic impact of Marcus Liwicki'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 Marcus Liwicki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Liwicki more than expected).
Fields of papers citing papers by Marcus Liwicki
This network shows the impact of papers produced by Marcus Liwicki. 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 Marcus Liwicki. The network helps show where Marcus Liwicki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcus Liwicki, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 23 | |
| 15 | 2021 | 1 | |
| 16 | 2020 | 18 | |
| 17 | Cross-Encoded Meta Embedding towards Transfer Learning | 2020 | 0 |
| 18 | Author Profiling Using Semantic and Syntactic Features : Notebook for PAN at CLEF 2019 | 2019 | 2 |
| 19 | 2015 | 1 | |
| 20 | A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks | 2007 | 123 |
About Marcus Liwicki
Marcus Liwicki is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Media Technology and Geology, having authored 239 papers that have together received 5.0k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (127 papers), Image Processing and 3D Reconstruction (48 papers), Natural Language Processing Techniques (44 papers), Image Retrieval and Classification Techniques (41 papers), Advanced Image and Video Retrieval Techniques (33 papers), Vehicle License Plate Recognition (20 papers), Advanced Neural Network Applications (19 papers) and Hand Gesture Recognition Systems (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Media Technology (797 citations), Human-Computer Interaction (416 citations), Artificial Intelligence (1.7k citations) and Geology (224 citations). Marcus Liwicki has collaborated with scholars based in Germany, Sweden and Switzerland. Frequent co-authors include Horst Bunke, Jürgen Schmidhuber, Alexander Graves, S. George Fernandez, Roman Bertolami, Andreas Dengel, Thomas M. Breuel, Wonmin Byeon, Muhammad Imran Malik and Sheraz Ahmed. Their work appears in journals such as Sensors, Applied Sciences, Pattern Recognition Letters, IEEE Access and Pattern Recognition.
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.