ML Akin

483 citations
7 papers · 366 · h-index 6

Impact in

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

Papers in

ML Akin

7 papers receiving 347 citations

Peers

ML Akin
Comparison fields: 5 of 97
  • Cognitive Neuroscience 228
  • Signal Processing 82
  • Human-Computer Interaction 26
  • Experimental and Cognitive Psychology 43
  • Cardiology and Cardiovascular Medicine 45
Replace Ausilah Alfraihat with:
Ausilah Alfraihat Jordan
Arvind Balasubramanian United States
John Gade Denmark
John R. Burk United States
Hubert Banville Canada
Pega Zarjam Australia
David W. Clifton Bulgaria
Beate Meffert Germany
Trilok Chand India
James Pardey United Kingdom
ML Akin relative to Ausilah Alfraihat Jordan Ausilah Alfraihat's profile →
Citations per field
00.5×1.5×
Ausilah Alfraihat · 1×
Citations per year

Countries citing papers authored by ML Akin

Since Specialization
Citations

This map shows the geographic impact of ML Akin'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 ML Akin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ML Akin more than expected).

Fields of papers citing papers by ML Akin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by ML Akin. 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 ML Akin. The network helps show where ML Akin may publish in the future.

Co-authors

The 6 scholars most cited alongside ML Akin, 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 ML Akin Line = papers co-authored together ML Akin links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2002220
2 200064
3 199725
4 200524
5
Hyperbaric oxygen improves healing in experimental rat colitis.
200221
6
Effect of hyperbaric oxygen on anastomoses created under the influence of 5-FU.
20037
7 19985

About ML Akin

ML Akin is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Computer Networks and Communications, Pathology and Forensic Medicine and Condensed Matter Physics, having authored 7 papers that have together received 366 indexed citations. Recurring topics across this work include Oral health in cancer treatment (2 papers), Pediatric health and respiratory diseases (1 paper), Cancer Diagnosis and Treatment (1 paper), Blind Source Separation Techniques (1 paper), Parasitic infections in humans and animals (1 paper), Metastasis and carcinoma case studies (1 paper), Sensor Technology and Measurement Systems (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Cognitive Neuroscience (228 citations), Signal Processing (82 citations), Human-Computer Interaction (26 citations), Experimental and Cognitive Psychology (43 citations) and Cardiology and Cardiovascular Medicine (45 citations). ML Akin has collaborated with scholars based in Türkiye and Serbia. Frequent co-authors include M. Kemal Kıymık, İbrahim Türkoğlu, Cengiz Erenoğlu, Sedat Yıldırım, Eugene F. Foley and C. Çınar Başekim. Their work appears in journals such as Journal of Medical Systems, Journal of the Royal Army Medical Corps and PubMed.

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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