Burcu Can
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
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- Advanced Malware Detection Techniques
Papers in
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- Topic Modeling 28
- Natural Language Processing Techniques 25
- Speech Recognition and Synthesis 7
- Sentiment Analysis and Opinion Mining 6
- Text Readability and Simplification 6
- Speech and dialogue systems 4
- Text and Document Classification Technologies 3
-
- Advanced Malware Detection Techniques 3
- Co-authors
- Grigori Sidorov (2 shared papers)Iqra Ameer (2 shared papers)Alexander Gelbukh (1 shared paper)Suresh Manandhar (6 shared papers)Ahmet Üstün (2 shared papers)Murathan Kurfalı (1 shared paper)Sevil Şen (3 shared papers)Ayça Tarhan (1 shared paper)
- Journals
- Natural Language Engineering (3 papers)Expert Systems with Applications (2 papers)Computational Linguistics (1 paper)Acta Neurochirurgica (1 paper)IEEE Access (1 paper)
- Partner nations
- TürkiyeUnited KingdomAustralia
In The Last Decade
Burcu Can
36 papers receiving 247 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 195
- Signal Processing 27
- Information Systems 45
- Software 6
- Computer Vision and Pattern Recognition 25
Countries citing papers authored by Burcu Can
This map shows the geographic impact of Burcu Can'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 Burcu Can with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Burcu Can more than expected).
Fields of papers citing papers by Burcu Can
This network shows the impact of papers produced by Burcu Can. 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 Burcu Can. The network helps show where Burcu Can may publish in the future.
Co-authors
The 12 scholars most cited alongside Burcu Can, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 72 | |
| 2 | 2018 | 21 | |
| 3 | 2022 | 16 | |
| 4 | 2020 | 14 | |
| 5 | 2019 | 14 | |
| 6 | 2023 | 11 | |
| 7 | 2019 | 10 | |
| 8 | 2021 | 9 | |
| 9 | 2019 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2019 | 6 | |
| 12 | Unsupervised Learning of Morphology by Using Syntactic Categories | 2009 | 6 |
| 13 | 2018 | 6 | |
| 14 | Probabilistic Hierarchical Clustering of Morphological Paradigms | 2012 | 6 |
| 15 | 2004 | 6 | |
| 16 | 2017 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2022 | 3 |
About Burcu Can
Burcu Can is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 38 papers that have together received 262 indexed citations. Recurring topics across this work include Topic Modeling (28 papers), Natural Language Processing Techniques (25 papers), Speech Recognition and Synthesis (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Text Readability and Simplification (6 papers), Speech and dialogue systems (4 papers), Text and Document Classification Technologies (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (195 citations), Signal Processing (27 citations), Information Systems (45 citations), Software (6 citations) and Computer Vision and Pattern Recognition (25 citations). Burcu Can has collaborated with scholars based in Türkiye, United Kingdom and Australia. Frequent co-authors include Grigori Sidorov, Iqra Ameer, Alexander Gelbukh, Suresh Manandhar, Ahmet Üstün, Murathan Kurfalı, Sevil Şen, Ayça Tarhan, Ibrahim M. Ziyal and D. Dal. Their work appears in journals such as Natural Language Engineering, Expert Systems with Applications, Computational Linguistics, Acta Neurochirurgica and IEEE Access.
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.