Oleksandr Kolomiyets
- Artificial Intelligence top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Signal Processing
- Molecular Biology
- Topics
- Natural Language Processing Techniques (9 papers)Topic Modeling (9 papers)Semantic Web and Ontologies (5 papers)
- Journals
- Information SciencesLanguage Resources and EvaluationLirias (KU Leuven)
- Partner nations
- BelgiumUnited StatesDenmark
In The Last Decade
Oleksandr Kolomiyets
11 papers receiving 263 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 267
- Information Systems 55
- Computer Vision and Pattern Recognition 38
- Signal Processing 18
- Molecular Biology 11
Countries citing papers authored by Oleksandr Kolomiyets
This map shows the geographic impact of Oleksandr Kolomiyets'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 Oleksandr Kolomiyets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oleksandr Kolomiyets more than expected).
Fields of papers citing papers by Oleksandr Kolomiyets
This network shows the impact of papers produced by Oleksandr Kolomiyets. 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 Oleksandr Kolomiyets. The network helps show where Oleksandr Kolomiyets may publish in the future.
Co-authorship network of co-authors of Oleksandr Kolomiyets
This figure shows the co-authorship network connecting the top 25 collaborators of Oleksandr Kolomiyets. A scholar is included among the top collaborators of Oleksandr Kolomiyets 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 Oleksandr Kolomiyets. Oleksandr Kolomiyets is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | KUL: A data-driven approach to temporal parsing of documents | 2 |
| 2 | SemEval-2013 Task 3: Spatial Role Labeling | 23 |
| 3 | KUL: Data-driven Approach to Temporal Parsing of Newswire Articles | 1 |
| 4 | KU Leuven at HOO-2012: A Hybrid Approach to Detection and Correction of Determiner and Preposition Errors in Non-native English Text | 4 |
| 5 | Annotating Story Timelines as Temporal Dependency Structures | 12 |
| 6 | Extracting Narrative Timelines as Temporal Dependency Structures | 33 |
| 7 | Model-Portability Experiments for Textual Temporal Analysis | 38 |
| 8 | 142 | |
| 9 | KUL: Recognition and Normalization of Temporal Expressions | 16 |
| 10 | 12 | |
| 11 | Semi-automatic annotation and retrieval of visual content using the topic map technology | 5 |
About Oleksandr Kolomiyets
Oleksandr Kolomiyets is a scholar working on Artificial Intelligence, Geography, Planning and Development and Signal Processing, having authored 11 papers that have together received 288 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Artificial Intelligence (267 citations), Information Systems (55 citations) and Computer Vision and Pattern Recognition (38 citations). Oleksandr Kolomiyets has collaborated with scholars based in Belgium, United States and Denmark. Frequent co-authors include Marie‐Francine Moens, Steven Bethard, Parisa Kordjamshidi, Atta Badii and Meng Zhu. Their work appears in journals such as Information Sciences, Language Resources and Evaluation and Lirias (KU Leuven).
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.