The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Akif Kaynak sits on this spectrum.
This scientist: 137 publications — 22nd percentile
22% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Akif Kaynak sits on this spectrum.
This scientist: 41 D-Index — 31st percentile
31% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Akif Kaynak is affiliated with Deakin University in Australia. Their research primarily spans the fields of Engineering and Materials Science, with a focus on subfields such as Biomedical Engineering, Mechanical Engineering, Polymers and Plastics, Biomaterials, and Condensed Matter Physics.
The scientist's work covers various main topics, prominently including Advanced Sensor and Energy Harvesting Materials, Soft Robotics and Applications, Advanced Materials and Mechanics, Conducting Polymers and Applications, Dielectric Materials and Actuators, Micro and Nano Robotics, and Hydrogels: Synthesis, Properties, Applications.
Kaynak has a consistent publication record in several scientific venues, with multiple papers appearing in the journal Polymers. Other venues featuring their recent research include Carbohydrate Polymers, Virtual and Physical Prototyping, Sensors and Actuators A Physical, and Applied Sciences.
Recent papers authored by or involving Kaynak include:
Frequent collaborators with Kaynak include the following co-authors:
Their research contributes to areas such as soft robotic systems, advanced fabrication methods including 3D and 4D printing, and the characterization of polymers and hydrogels with applications in sensors and actuators. This work entails integrating machine learning and finite element methods to guide soft robotics design and investigating adaptive systems through control-based 4D printing techniques.
Bijan Nasri-Nasrabadi;Akif Kaynak;Zahra Komeily-Nia;Scott D. Adams
Ali Zolfagharian;Abbas Z. Kouzani;Sui Yang Khoo;Amir Ali Amiri Moghadam;Amir Ali Amiri Moghadam
Ali Zolfagharian;Akif Kaynak;Abbas Kouzani
Eva Hakansson;Akif Kaynak;Tong Lin;Saeid Nahavandi
Eva Håkansson;Andrew Amiet;Saeid Nahavandi;Akif Kaynak
Ali Zolfagharian;M. A. Parvez Mahmud;Saleh Gharaie;Mahdi Bodaghi
Eva Håkansson;Tong Lin;Hongxia Wang;Akif Kaynak
Saurabh Garg;Christopher Hurren;Akif Kaynak
Tong Lin;Lijing Wang;Xungai Wang;Akif Kaynak
Akif Kaynak;Saeed Shaikhzadeh Najar;Richard C. Foitzik
Akif Kaynak;Rafael Beltran
Ali Zolfagharian;Akif Kaynak;Sui Yang Khoo;Abbas Kouzani
Ali Zolfagharian;Lorena Durran;Saleh Gharaie;Bernard Rolfe
Akif Kaynak;Andan Polat;Ulku Yilmazer
Akif Kaynak
Akif Kaynak;Llew Rintoul;Graeme A George
Saeed Shaikhzadeh Najar;Akif Kaynak;Richard C. Foitzik
Ali Zolfagharian;Martin Denk;Mahdi Bodaghi;Abbas Z. Kouzani
Unknown
Ali Zolfagharian;Akif Kaynak;Mahdi Bodaghi;Abbas Z. Kouzani
J Unsworth;BA Lunn;PC Innis;Z Jin
Tariq Mehmood;Akif Kaynak;Xiujuan J. Dai;Abbas Kouzani
Eric Hu;Akif Kaynak;Yuncang Li
Amir Ali Amiri Moghadam;Abbas Z. Kouzani;Keivan Torabi;Akif Kaynak
Pejman Heidarian;Abbas Z. Kouzani;Akif Kaynak;Mariana Paulino
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