Jindřich Helcl
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Molecular Biology
- Language and Linguistics
- Co-authors
- Jindřich LibovickýBarry HaddowAlexandra BirchAntonio Valerio Miceli BaroneDušan VarišRachel BawdenRico SennrichVivien Macketanz
- Topics
- Natural Language Processing Techniques (13 papers)Topic Modeling (13 papers)Multimodal Machine Learning Applications (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputational LinguisticsCybernetics and Information Technologies
- Partner nations
- CzechiaUnited KingdomGermany
In The Last Decade
Jindřich Helcl
15 papers receiving 277 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 282
- Computer Vision and Pattern Recognition 126
- Information Systems 12
- Molecular Biology 11
- Language and Linguistics 11
Countries citing papers authored by Jindřich Helcl
This map shows the geographic impact of Jindřich Helcl'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 Jindřich Helcl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jindřich Helcl more than expected).
Fields of papers citing papers by Jindřich Helcl
This network shows the impact of papers produced by Jindřich Helcl. 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 Jindřich Helcl. The network helps show where Jindřich Helcl may publish in the future.
Co-authorship network of co-authors of Jindřich Helcl
This figure shows the co-authorship network connecting the top 25 collaborators of Jindřich Helcl. A scholar is included among the top collaborators of Jindřich Helcl 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 Jindřich Helcl. Jindřich Helcl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 8 | |
| 4 | 48 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | Neural Monkey: The Current State and Beyond | 4 |
| 9 | Solving Three Czech NLP Tasks with End-to-end Neural Models. | 4 |
| 10 | 71 | |
| 11 | 21 | |
| 12 | 23 | |
| 13 | 35 | |
| 14 | 19 | |
| 15 | 42 | |
| 16 | Deeper Machine Translation and Evaluation for German | 4 |
About Jindřich Helcl
Jindřich Helcl is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Law, having authored 16 papers that have together received 304 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Multimodal Machine Learning Applications (7 papers). The work is most often cited by research in Artificial Intelligence (282 citations), Computer Vision and Pattern Recognition (126 citations) and Health Informatics (3 citations). Jindřich Helcl has collaborated with scholars based in Czechia, United Kingdom and Germany. Frequent co-authors include Jindřich Libovický, Barry Haddow, Alexandra Birch, Antonio Valerio Miceli Barone, Dušan Variš, Rachel Bawden, Rico Sennrich, Vivien Macketanz, Ankit Srivastava and Aljoscha Burchardt. Their work appears in journals such as SHILAP Revista de lepidopterología, Computational Linguistics and Cybernetics and Information Technologies.
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.