Ilyas Cicekli
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Social Psychology
- Molecular Biology
- Co-authors
- Ayşe Pınar SaygınVarol AkmanMakbule Gülçin ÖzsoyFerda Nur AlpaslanH. Altay GüvenirMücahid KutluNihan Kesim ÇiçekliErgin Soysal
- Topics
- Natural Language Processing Techniques (28 papers)Topic Modeling (22 papers)Advanced Text Analysis Techniques (11 papers)
- Partner nations
- TürkiyeUnited StatesUnited Kingdom
In The Last Decade
Ilyas Cicekli
42 papers receiving 796 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 694
- Information Systems 166
- Computer Vision and Pattern Recognition 67
- Social Psychology 59
- Molecular Biology 58
Countries citing papers authored by Ilyas Cicekli
This map shows the geographic impact of Ilyas Cicekli'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 Ilyas Cicekli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilyas Cicekli more than expected).
Fields of papers citing papers by Ilyas Cicekli
This network shows the impact of papers produced by Ilyas Cicekli. 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 Ilyas Cicekli. The network helps show where Ilyas Cicekli may publish in the future.
Co-authorship network of co-authors of Ilyas Cicekli
This figure shows the co-authorship network connecting the top 25 collaborators of Ilyas Cicekli. A scholar is included among the top collaborators of Ilyas Cicekli 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 Ilyas Cicekli. Ilyas Cicekli 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 | 6 | |
| 3 | 8 | |
| 4 | A Hybrid Morphological Disambiguation System for Turkish | 6 |
| 5 | A Factoid Question Answering System Using Answer Pattern Matching | 10 |
| 6 | Text Summarization of Turkish Texts using Latent Semantic Analysis | 37 |
| 7 | 27 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 19 | |
| 11 | 149 | |
| 12 | 5 | |
| 13 | Towards automated web service composition with the abductive event calculus | 5 |
| 14 | 4 | |
| 15 | Natural Language Interface on a Video Data Model. | 2 |
| 16 | 18 | |
| 17 | A Language-Independent System for Generating Feature Structures from Interlingua Representations | 1 |
| 18 | 43 | |
| 19 | 2 | |
| 20 | Design and Implementation of An Abstract MetaProlog Engine for MetaProlog. | 0 |
About Ilyas Cicekli
Ilyas Cicekli is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 916 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (28 papers), Topic Modeling (22 papers) and Advanced Text Analysis Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (694 citations), Health Informatics (14 citations) and Information Systems (166 citations). Ilyas Cicekli has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Ayşe Pınar Saygın, Varol Akman, Makbule Gülçin Özsoy, Ferda Nur Alpaslan, H. Altay Güvenir, Mücahid Kutlu, Nihan Kesim Çiçekli, Ergin Soysal, Nazife Baykal and Kemal Oflazer. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Information Sciences.
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.