ML Akin

486 citations
7 papers · 396 · 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 373 citations

Peers

ML Akin
Comparison fields: 5 of 88
  • Cognitive Neuroscience 235
  • Signal Processing 86
  • Human-Computer Interaction 29
  • Experimental and Cognitive Psychology 46
  • Cellular and Molecular Neuroscience 35
Replace Hubert Banville with:
Hubert Banville Canada
Elnaz Lashgari United States
Beate Meffert Germany
Chamandeep Kaur India
Vangelis P. Oikonomou Greece
Neep Hazarika United Kingdom
A. Saidatul Malaysia
Anurag Nishad India
Ausilah Alfraihat Jordan
Mehdi Hajinoroozi United States
ML Akin relative to Hubert Banville Canada Hubert Banville's profile →
Citations per field
00.5×2.6×
Hubert Banville · 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 2002237
2 200068
3 200530
4 199727
5
Hyperbaric oxygen improves healing in experimental rat colitis.
200222
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, Computer Networks and Communications, Pathology and Forensic Medicine, Condensed Matter Physics and Control and Systems Engineering, having authored 7 papers that have together received 396 indexed citations. Recurring topics across this work include Neural Networks and Applications (1 paper), Hernia repair and management (1 paper), Congenital Anomalies and Fetal Surgery (1 paper), Sensor Technology and Measurement Systems (1 paper), EEG and Brain-Computer Interfaces (1 paper), Blind Source Separation Techniques (1 paper), Advanced Sensor and Control Systems (1 paper) and Parasitic infections in humans and animals (1 paper). The work is most often cited by research in Cognitive Neuroscience (235 citations), Signal Processing (86 citations), Human-Computer Interaction (29 citations), Experimental and Cognitive Psychology (46 citations) and Cellular and Molecular Neuroscience (35 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, C. Çınar Başekim and Eugene F. Foley. Their work appears in journals such as Journal of Medical Systems, Journal of the Royal Army Medical Corps, PubMed and Defense Technical Information Center (DTIC).

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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