Özgür Yılmazel
- Artificial Intelligence top 10%
- Information Systems top 5%
- Environmental Engineering
- Global and Planetary Change
- Computer Science Applications top 10%
- Co-authors
- Elizabeth D. LiddyAnne R. DiekemaCihan KaleliMüzeyyen Anıl Şenyel KürkçüoğluMehmet ÇetinSaye Nihan ÇabukAlper ÇabukJiangping Chen
- Topics
- Topic Modeling (15 papers)Natural Language Processing Techniques (15 papers)Recommender Systems and Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- TürkiyeUnited States
In The Last Decade
Özgür Yılmazel
37 papers receiving 355 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 183
- Information Systems 132
- Environmental Engineering 36
- Global and Planetary Change 35
- Computer Science Applications 25
Countries citing papers authored by Özgür Yılmazel
This map shows the geographic impact of Özgür Yılmazel'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 Özgür Yılmazel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Özgür Yılmazel more than expected).
Fields of papers citing papers by Özgür Yılmazel
This network shows the impact of papers produced by Özgür Yılmazel. 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 Özgür Yılmazel. The network helps show where Özgür Yılmazel may publish in the future.
Co-authorship network of co-authors of Özgür Yılmazel
This figure shows the co-authorship network connecting the top 25 collaborators of Özgür Yılmazel. A scholar is included among the top collaborators of Özgür Yılmazel 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 Özgür Yılmazel. Özgür Yılmazel 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 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 66 | |
| 6 | 33 | |
| 7 | Apache Mahout: Machine Learning on Distributed Dataflow Systems | 17 |
| 8 | 1 | |
| 9 | 22 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | Evaluation of Restricted Domain Question-Answering Systems | 17 |
| 15 | 9 | |
| 16 | Finding Answers to Complex Questions | 11 |
| 17 | What do You Mean? Finding Answers to Complex Questions | 11 |
| 18 | 33 | |
| 19 | Question-Answering: CNLP at TREC-10 Question Answering Track | 4 |
| 20 | Question Answering: CNLP at the TREC-2002 Question Answering Track | 33 |
About Özgür Yılmazel
Özgür Yılmazel is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications, having authored 39 papers that have together received 388 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (15 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Information Systems (132 citations), Artificial Intelligence (183 citations) and Computer Science Applications (25 citations). Özgür Yılmazel has collaborated with scholars based in Türkiye and United States. Frequent co-authors include Elizabeth D. Liddy, Anne R. Diekema, Cihan Kaleli, Müzeyyen Anıl Şenyel Kürkçüoğlu, Mehmet Çetin, Saye Nihan Çabuk, Alper Çabuk, Jiangping Chen, Zeynep Batmaz and Talha Aksoy. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.