Fikret Gürgen
- Artificial Intelligence top 2%
- Physiology top 5%
- Signal Processing top 2%
- Electrical and Electronic Engineering
- Neurology top 10%
- Co-authors
- C. Okan SakarOlcay KurşunHülya ApaydınM. Erdem IsenkulŞakir DelilBetül Erdoğdu ŞakarAhmet SertbaşFiliz Güneş
- Topics
- Neural Networks and Applications (16 papers)Speech and Audio Processing (7 papers)Blind Source Separation Techniques (6 papers)
- Partner nations
- TürkiyeUnited KingdomUnited States
In The Last Decade
Fikret Gürgen
75 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 475
- Physiology 384
- Signal Processing 291
- Electrical and Electronic Engineering 167
- Neurology 142
Countries citing papers authored by Fikret Gürgen
This map shows the geographic impact of Fikret Gürgen'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 Fikret Gürgen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fikret Gürgen more than expected).
Fields of papers citing papers by Fikret Gürgen
This network shows the impact of papers produced by Fikret Gürgen. 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 Fikret Gürgen. The network helps show where Fikret Gürgen may publish in the future.
Co-authorship network of co-authors of Fikret Gürgen
This figure shows the co-authorship network connecting the top 25 collaborators of Fikret Gürgen. A scholar is included among the top collaborators of Fikret Gürgen 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 Fikret Gürgen. Fikret Gürgen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 36 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | A cross-corpus experiment in speech emotion recognition. | 9 |
| 9 | 4 | |
| 10 | 34 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | Computer and Information Sciences - ISCIS 2005: 20th International Symposium, Istanbul, Turkey, October 26 -- 28, 2005, Proceedings (Lecture Notes in Computer Science) | 1 |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 21 | |
| 19 | 4 | |
| 20 | 15 |
About Fikret Gürgen
Fikret Gürgen is a scholar working on Signal Processing, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (16 papers), Speech and Audio Processing (7 papers) and Blind Source Separation Techniques (6 papers). The work is most often cited by research in Signal Processing (291 citations), Artificial Intelligence (475 citations) and Physiology (384 citations). Fikret Gürgen has collaborated with scholars based in Türkiye, United Kingdom and United States. Frequent co-authors include C. Okan Sakar, Olcay Kurşun, Hülya Apaydın, M. Erdem Isenkul, Şakir Delil, Betül Erdoğdu Şakar, Ahmet Sertbaş, Filiz Güneş, Tunga Güngör and Aslı Uyar. Their work appears in journals such as Expert Systems with Applications, IEEE Access and BMC Bioinformatics.
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.