Fatma Lati̇foğlu

1.0k citations
81 papers · 767 · h-index 16

Impact in

    • EEG and Brain-Computer Interfaces
    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • Blind Source Separation Techniques

Papers in

Fatma Lati̇foğlu

72 papers receiving 739 citations

Peers

Fatma Lati̇foğlu
Comparison fields: 5 of 114
  • Cognitive Neuroscience 245
  • Signal Processing 86
  • Cardiology and Cardiovascular Medicine 163
  • Human-Computer Interaction 36
  • Health Information Management 30
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Citations per field
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Citations per year

Countries citing papers authored by Fatma Lati̇foğlu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Fatma Lati̇foğlu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fatma Lati̇foğlu Line = papers co-authored together Fatma Lati̇foğlu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201582
2 201256
3 201454
4 200751
5 201345
6 201429
7 201228
8 201427
9 201324
10 200922
11 200622
12 202021
13 200719
14 200718
15 202316
16 201515
17 201915
18 201915
19 200613
20 202013

About Fatma Lati̇foğlu

Fatma Lati̇foğlu is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, 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), ECG Monitoring and Analysis (10 papers), Cardiovascular Health and Disease Prevention (9 papers), Gaze Tracking and Assistive Technology (8 papers), Heart Rate Variability and Autonomic Control (5 papers), Tactile and Sensory Interactions (5 papers) and Advanced Adaptive Filtering Techniques (5 papers). The work is most often cited by research in Cognitive Neuroscience (245 citations), Signal Processing (86 citations), Cardiology and Cardiovascular Medicine (163 citations), Human-Computer Interaction (36 citations) and Health Information Management (30 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 Neural Computing and Applications, Journal of Medical Systems, Biomedical Signal Processing and Control, Computer Methods and Programs in Biomedicine and Journal of Clinical Monitoring and Computing.

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.

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