Alan Akbik
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Text Readability and Simplification
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
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- Data Quality and Management
Papers in
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- Topic Modeling 33
- Natural Language Processing Techniques 30
- Semantic Web and Ontologies 9
- Advanced Text Analysis Techniques 3
- Text Readability and Simplification 3
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- Web Data Mining and Analysis 4
- Data Mining Algorithms and Applications 2
- Co-authors
- Roland Vollgraf (7 shared papers)Duncan A. J. Blythe (2 shared papers)Stefan Schweter (1 shared paper)Kashif Rasul (1 shared paper)Yunyao Li (6 shared papers)Alexander Löser (2 shared papers)Huaiyu Zhu (2 shared papers)Laura Chiticariu (3 shared papers)
- Journals
- Language Resources and Evaluation (4 papers)Bioinformatics (1 paper)International Conference on Computational Linguistics (7 papers)RepositóriUM (Universidade do Minho) (1 paper)iPRES (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Alan Akbik
35 papers receiving 1.1k citations
Alan Akbik's Hit Papers
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 1.1k
- Management Science and Operations Research 110
- Information Systems 174
- General Social Sciences 17
- Computer Vision and Pattern Recognition 87
Countries citing papers authored by Alan Akbik
This map shows the geographic impact of Alan Akbik'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 Alan Akbik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Akbik more than expected).
Fields of papers citing papers by Alan Akbik
This network shows the impact of papers produced by Alan Akbik. 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 Alan Akbik. The network helps show where Alan Akbik may publish in the future.
Co-authors
The 25 scholars most cited alongside Alan Akbik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Contextual String Embeddings for Sequence Labeling Hit paper breakdown → | 2018 | 562 |
| 2 | 2019 | 211 | |
| 3 | 2019 | 176 | |
| 4 | 2015 | 45 | |
| 5 | KrakeN: N-ary Facts in Open Information Extraction | 2012 | 44 |
| 6 | 2020 | 32 | |
| 7 | Unsupervised Discovery of Relations and Discriminative Extraction Patterns | 2012 | 22 |
| 8 | Propminer: A Workflow for Interactive Information Extraction and Exploration using Dependency Trees | 2013 | 16 |
| 9 | 2016 | 12 | |
| 10 | 2016 | 10 | |
| 11 | 2021 | 9 | |
| 12 | Nerdle: Topic-Specific Question Answering Using Wikia Seeds | 2014 | 9 |
| 13 | Effective Selectional Restrictions for Unsupervised Relation Extraction | 2013 | 8 |
| 14 | Exploratory Relation Extraction in Large Text Corpora | 2014 | 8 |
| 15 | Multilingual Aliasing for Auto-Generating Proposition Banks | 2016 | 7 |
| 16 | 2024 | 7 | |
| 17 | 2014 | 7 | |
| 18 | K-SRL: Instance-based Learning for Semantic Role Labeling | 2016 | 7 |
| 19 | Multilingual Information Extraction with PolyglotIE | 2016 | 6 |
| 20 | 2017 | 5 |
About Alan Akbik
Alan Akbik is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (33 papers), Natural Language Processing Techniques (30 papers), Semantic Web and Ontologies (9 papers), Data Quality and Management (4 papers), Web Data Mining and Analysis (4 papers), Advanced Text Analysis Techniques (3 papers), Text Readability and Simplification (3 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Management Science and Operations Research (110 citations), Information Systems (174 citations), General Social Sciences (17 citations) and Computer Vision and Pattern Recognition (87 citations). Alan Akbik has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Roland Vollgraf, Duncan A. J. Blythe, Stefan Schweter, Kashif Rasul, Yunyao Li, Alexander Löser, Huaiyu Zhu, Laura Chiticariu, Marina Danilevsky and Josip Krapac. Their work appears in journals such as Language Resources and Evaluation, Bioinformatics, International Conference on Computational Linguistics, RepositóriUM (Universidade do Minho) and iPRES.
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.