Duygu Ataman
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Molecular Biology
- Language and Linguistics
- Information Systems
- Co-authors
- Marcello FedericoMatteo NegriMarco TurchiRico SennrichSriram ChellappanAntonio LaverghettaOrhan FıratWilker Aziz
- Topics
- Natural Language Processing Techniques (13 papers)Topic Modeling (10 papers)Multimodal Machine Learning Applications (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaInformationMachine Translation
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Duygu Ataman
9 papers receiving 82 citations
Peers
Comparison fields: 5 of 9
- Artificial Intelligence 90
- Computer Vision and Pattern Recognition 36
- Molecular Biology 5
- Language and Linguistics 5
- Information Systems 4
Countries citing papers authored by Duygu Ataman
This map shows the geographic impact of Duygu Ataman'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 Duygu Ataman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duygu Ataman more than expected).
Fields of papers citing papers by Duygu Ataman
This network shows the impact of papers produced by Duygu Ataman. 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 Duygu Ataman. The network helps show where Duygu Ataman may publish in the future.
Co-authorship network of co-authors of Duygu Ataman
This figure shows the co-authorship network connecting the top 25 collaborators of Duygu Ataman. A scholar is included among the top collaborators of Duygu Ataman 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 Duygu Ataman. Duygu Ataman 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 13 | |
| 8 | 3 | |
| 9 | An Evaluation of Two Vocabulary Reduction Methods for Neural Machine Translation | 11 |
| 10 | Compositional source word representations for neural machine translation | 1 |
| 11 | 46 | |
| 12 | 1 | |
| 13 | 5 |
About Duygu Ataman
Duygu Ataman is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 92 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (10 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Artificial Intelligence (90 citations), Computer Vision and Pattern Recognition (36 citations) and Health Informatics (1 citation). Duygu Ataman has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Marcello Federico, Matteo Negri, Marco Turchi, Rico Sennrich, Sriram Chellappan, Antonio Laverghetta, Orhan Fırat, Wilker Aziz, Alexandra Birch and José G. C. de Souza. Their work appears in journals such as SHILAP Revista de lepidopterología, Information and Machine Translation.
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.