Erkan Kaplanoğlu

689 citations
49 papers · 372 · 1 hit paper · h-index 9

Impact in

Papers in

Erkan Kaplanoğlu

44 papers receiving 360 citations

Erkan Kaplanoğlu's Hit Papers

Evaluation of artificial intelligence techniques in disease diagnosis and prediction 2023 · 153 citations
1530+1+2Years since publication50100150

Peers

Erkan Kaplanoğlu
Comparison fields: 5 of 104
  • Health Informatics 43
  • Health Information Management 29
  • Rehabilitation 29
  • Human-Computer Interaction 18
  • Biomedical Engineering 138
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Nilo T. Bugtai Philippines
Guangyu Jia United Kingdom
Ankit Vijayvargiya India
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Matteo Polsinelli Italy
Bassam Al‐Naami Jordan
Wanqing Wu China
Arash Andalib Iran
Josefina Gutiérrez-Martínez Mexico
Ziheng Wang China
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Citations per year

Countries citing papers authored by Erkan Kaplanoğlu

Since Specialization
Citations

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

Fields of papers citing papers by Erkan Kaplanoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Erkan Kaplanoğlu, 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 Erkan Kaplanoğlu Line = papers co-authored together Erkan Kaplanoğlu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluation of artificial intelligence techniques in disease diagnosis and prediction
Hit paper breakdown →
2023153
2 201921
3 201220
4 201717
5 201616
6 202114
7 202312
8 201810
9 202110
10 20188
11 20198
12 20227
13 20197
14 20237
15 20235
16 20225
17 20225
18 20195
19 20194
20 20224

About Erkan Kaplanoğlu

Erkan Kaplanoğlu is a scholar working on Biomedical Engineering, Control and Systems Engineering, Cognitive Neuroscience, Rehabilitation and Cellular and Molecular Neuroscience, having authored 49 papers that have together received 372 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (18 papers), Robot Manipulation and Learning (11 papers), EEG and Brain-Computer Interfaces (11 papers), Prosthetics and Rehabilitation Robotics (10 papers), Stroke Rehabilitation and Recovery (6 papers), Neuroscience and Neural Engineering (5 papers), Soft Robotics and Applications (5 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Health Informatics (43 citations), Health Information Management (29 citations), Rehabilitation (29 citations), Human-Computer Interaction (18 citations) and Biomedical Engineering (138 citations). Erkan Kaplanoğlu has collaborated with scholars based in Türkiye, United States and Lithuania. Frequent co-authors include Ahad Nasab, Nafiseh Ghaffar Nia, Osman Ülkir, Donald R. Reising, Mehmed Özkan, Elif Emil-Kaya, Hong Qin, Erdem Erdemir, Farah Kandah and Matthew Christian. Their work appears in journals such as IEEE Access, Sensors, Studies in Informatics and Control, Journal of Testing and Evaluation and Turkish Journal of Trauma and Emergency Surgery.

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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