Sercan Ö. Arık
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Oral Surgery top 5%
- Co-authors
- Joseph M. KahnKeang-Po HoDaulet AskarovBulat IbragimovLei XingGregory DiamosTomas PfisterAndrew Gibiansky
- Topics
- Optical Network Technologies (21 papers)Advanced Photonic Communication Systems (17 papers)Topic Modeling (8 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Sercan Ö. Arık
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Electrical and Electronic Engineering 704
- Artificial Intelligence 449
- Signal Processing 257
- Computer Vision and Pattern Recognition 157
- Oral Surgery 152
Countries citing papers authored by Sercan Ö. Arık
This map shows the geographic impact of Sercan Ö. Arık'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 Sercan Ö. Arık with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sercan Ö. Arık more than expected).
Fields of papers citing papers by Sercan Ö. Arık
This network shows the impact of papers produced by Sercan Ö. Arık. 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 Sercan Ö. Arık. The network helps show where Sercan Ö. Arık may publish in the future.
Co-authorship network of co-authors of Sercan Ö. Arık
This figure shows the co-authorship network connecting the top 25 collaborators of Sercan Ö. Arık. A scholar is included among the top collaborators of Sercan Ö. Arık 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 Sercan Ö. Arık. Sercan Ö. Arık is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 8 | |
| 5 | 30 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | Interpretable sequence learning for COVID-19 forecasting | 9 |
| 10 | Data Valuation using Reinforcement Learning | 9 |
| 11 | Distance-Based Learning from Errors for Confidence Calibration | 5 |
| 12 | Attention-Based Prototypical Learning Towards Interpretable, Confident and Robust Deep Neural Networks. | 4 |
| 13 | IEG: Robust Neural Network Training to Tackle Severe Label Noise. | 1 |
| 14 | EPNAS: Efficient Progressive Neural Architecture Search | 1 |
| 15 | Learning to Transfer Learn | 2 |
| 16 | Neural Voice Cloning with a Few Samples | 53 |
| 17 | Deep Voice 2: Multi-Speaker Neural Text-to-Speech. | 81 |
| 18 | Deep Voice: Real-time Neural Text-to-Speech | 39 |
| 19 | 106 | |
| 20 | 17 |
About Sercan Ö. Arık
Sercan Ö. Arık is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Optical Network Technologies (21 papers), Advanced Photonic Communication Systems (17 papers) and Topic Modeling (8 papers). The work is most often cited by research in Health Informatics (38 citations), Signal Processing (257 citations) and Oral Surgery (152 citations). Sercan Ö. Arık has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Joseph M. Kahn, Keang-Po Ho, Daulet Askarov, Bulat Ibragimov, Lei Xing, Gregory Diamos, Tomas Pfister, Andrew Gibiansky, Heewoo Jun and Wei Ping. Their work appears in journals such as Optics Letters, Optics Express and IEEE Signal Processing Magazine.
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.