Fatma Lati̇foğlu
- Cognitive Neuroscience top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Sadık KaraSaime Akdemir AkarVedat BilgiçSalih GüneşNurhan KaraboğaÖzgür KişiEsra Demi̇rci̇Kemal Polat
- Topics
- EEG and Brain-Computer Interfaces (31 papers)Non-Invasive Vital Sign Monitoring (12 papers)ECG Monitoring and Analysis (10 papers)
In The Last Decade
Fatma Lati̇foğlu
72 papers receiving 739 citations
Peers
Comparison fields: 5 of 114
- Cognitive Neuroscience 245
- Cardiology and Cardiovascular Medicine 163
- Biomedical Engineering 146
- Artificial Intelligence 132
- Computer Vision and Pattern Recognition 106
Countries citing papers authored by Fatma Lati̇foğlu
This map shows the geographic impact of Fatma Lati̇foğlu'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 Fatma Lati̇foğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatma Lati̇foğlu more than expected).
Fields of papers citing papers by Fatma Lati̇foğlu
This network shows the impact of papers produced by Fatma Lati̇foğlu. 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 Fatma Lati̇foğlu. The network helps show where Fatma Lati̇foğlu may publish in the future.
Co-authorship network of co-authors of Fatma Lati̇foğlu
This figure shows the co-authorship network connecting the top 25 collaborators of Fatma Lati̇foğlu. A scholar is included among the top collaborators of Fatma Lati̇foğlu 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 Fatma Lati̇foğlu. Fatma Lati̇foğlu 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 | 0 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | Predicting Liver Disease Using Decision Tree Ensemble Methods | 3 |
| 14 | Detection of differences between migraine and tension-type headache from electroencephalogram signals | 1 |
| 15 | 45 | |
| 16 | 22 | |
| 17 | 19 | |
| 18 | 12 | |
| 19 | 4 | |
| 20 | 13 |
About Fatma Lati̇foğlu
Fatma Lati̇foğlu is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Cardiology and Cardiovascular Medicine, having authored 81 papers that have together received 767 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (31 papers), Non-Invasive Vital Sign Monitoring (12 papers) and ECG Monitoring and Analysis (10 papers). The work is most often cited by research in Cognitive Neuroscience (245 citations), Signal Processing (86 citations) and Cardiology and Cardiovascular Medicine (163 citations). Fatma Lati̇foğlu has collaborated with scholars based in Türkiye, Italy and Qatar. Frequent co-authors include Sadık Kara, Saime Akdemir Akar, Vedat Bilgiç, Salih Güneş, Nurhan Karaboğa, Özgür Kişi, Esra Demi̇rci̇, Kemal Polat, Aynur Akın and Seral Özşen. Their work appears in journals such as Expert Systems with Applications, Current Opinion in Biotechnology and Chaos Solitons & Fractals.
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.