Ozan İrsoy
- Artificial Intelligence top 2%
- Signal Processing top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Claire CardieEthem AlpaydınHuili Grace XingAndrew SeniorFrançoise BeaufaysKanishka RaoJohan SchalkwykAlex Graves
- Topics
- Topic Modeling (8 papers)Natural Language Processing Techniques (8 papers)Neural Networks and Applications (3 papers)
- Journals
- NeurocomputingIEEE/ACM Transactions on Computational Biology and BioinformaticsIEEE Journal on Exploratory Solid-State Computational Devices and Circuits
- Partner nations
- United StatesTürkiye
In The Last Decade
Ozan İrsoy
14 papers receiving 613 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 502
- Signal Processing 93
- Electrical and Electronic Engineering 79
- Computer Vision and Pattern Recognition 63
- Information Systems 54
Countries citing papers authored by Ozan İrsoy
This map shows the geographic impact of Ozan İrsoy'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 Ozan İrsoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ozan İrsoy more than expected).
Fields of papers citing papers by Ozan İrsoy
This network shows the impact of papers produced by Ozan İrsoy. 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 Ozan İrsoy. The network helps show where Ozan İrsoy may publish in the future.
Co-authorship network of co-authors of Ozan İrsoy
This figure shows the co-authorship network connecting the top 25 collaborators of Ozan İrsoy. A scholar is included among the top collaborators of Ozan İrsoy 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 Ozan İrsoy. Ozan İrsoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | Soft decision trees | 12 |
| 8 | 44 | |
| 9 | 63 | |
| 10 | 100 | |
| 11 | 250 | |
| 12 | Deep Recursive Neural Networks for Compositionality in Language | 147 |
| 13 | 9 | |
| 14 | 14 |
About Ozan İrsoy
Ozan İrsoy is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 658 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (502 citations), Signal Processing (93 citations) and Computer Vision and Pattern Recognition (63 citations). Ozan İrsoy has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Claire Cardie, Ethem Alpaydın, Huili Grace Xing, Andrew Senior, Françoise Beaufays, Kanishka Rao, Johan Schalkwyk, Alex Graves, Haşim Sak and Olcay Taner Yıldız. Their work appears in journals such as Neurocomputing, IEEE/ACM Transactions on Computational Biology and Bioinformatics and IEEE Journal on Exploratory Solid-State Computational Devices and Circuits.
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.