Arzucan Özgür
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.2%
- Artificial Intelligence top 2%
- Materials Chemistry top 10%
- Pharmacology top 10%
- Co-authors
- Hakime ÖztürkElif ÖzkırımlıDragomir RadevGüneş ErkanThuy VuYongqun HeJunguk HurZuoshuang Xiang
- Topics
- Topic Modeling (42 papers)Natural Language Processing Techniques (30 papers)Biomedical Text Mining and Ontologies (24 papers)
- Partner nations
- TürkiyeUnited StatesSwitzerland
In The Last Decade
Arzucan Özgür
77 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 1.8k
- Computational Theory and Mathematics 1.3k
- Artificial Intelligence 766
- Materials Chemistry 432
- Pharmacology 121
Countries citing papers authored by Arzucan Özgür
This map shows the geographic impact of Arzucan Özgür'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 Arzucan Özgür with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arzucan Özgür more than expected).
Fields of papers citing papers by Arzucan Özgür
This network shows the impact of papers produced by Arzucan Özgür. 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 Arzucan Özgür. The network helps show where Arzucan Özgür may publish in the future.
Co-authorship network of co-authors of Arzucan Özgür
This figure shows the co-authorship network connecting the top 25 collaborators of Arzucan Özgür. A scholar is included among the top collaborators of Arzucan Özgür 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 Arzucan Özgür. Arzucan Özgür 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 | 2 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | BOUN-REX at CLEF-2020 ChEMU Task 2: Evaluating Pretrained Transformers for Event Extraction. | 3 |
| 7 | 99 | |
| 8 | 17 | |
| 9 | A chemical language based approach for protein - ligand interaction prediction. | 2 |
| 10 | Description of the BOUN System for the Trilingual Entity Detection and Linking Tasks at TAC KBP 2017. | 1 |
| 11 | Extracting Adverse Drug Reactions using Deep Learning and Dictionary Based Approaches. | 2 |
| 12 | Segmenting Hashtags using Automatically Created Training Data. | 2 |
| 13 | Named entity recognition on Twitter for Turkish using semi-supervised learning with word embeddings | 5 |
| 14 | Sentence Similarity based on Dependency Tree Kernels for Multi-document Summarization. | 14 |
| 15 | 4 | |
| 16 | 47 | |
| 17 | BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets | 11 |
| 18 | Bacteria Biotope Detection, Ontology-based Normalization, and Relation Extraction using Syntactic Rules | 10 |
| 19 | Citation Summarization Through Keyphrase Extraction | 61 |
| 20 | Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency Parsing | 98 |
About Arzucan Özgür
Arzucan Özgür is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology, having authored 85 papers that have together received 2.7k indexed citations. Recurring topics across this work include Topic Modeling (42 papers), Natural Language Processing Techniques (30 papers) and Biomedical Text Mining and Ontologies (24 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Molecular Biology (1.8k citations) and Artificial Intelligence (766 citations). Arzucan Özgür has collaborated with scholars based in Türkiye, United States and Switzerland. Frequent co-authors include Hakime Öztürk, Elif Özkırımlı, Dragomir Radev, Güneş Erkan, Thuy Vu, Yongqun He, Junguk Hur, Zuoshuang Xiang, Teodoro Laino and Philippe Schwaller. Their work appears in journals such as Bioinformatics, PLoS ONE and Scientific Reports.
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.