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 Hamid Khayyam sits on this spectrum.
This scientist: 97 publications — 8th percentile
8% 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 Hamid Khayyam sits on this spectrum.
This scientist: 38 D-Index — 20th percentile
20% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Hamid Khayyam is affiliated with RMIT University in Australia and conducts research primarily in the field of Engineering. Their research contributions span several subfields including Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, Statistical and Nonlinear Physics, and Industrial and Manufacturing Engineering.
The scientist's work focuses on various topics related to transportation and energy systems. Key areas of research include Electric and Hybrid Vehicle Technologies, Electric Vehicles and Infrastructure, Advanced Battery Technologies Research, Vehicle Emissions and Performance, Complex Network Analysis Techniques, Opinion Dynamics and Social Influence, and Autonomous Vehicle Technology and Safety.
Hamid Khayyam has authored and co-authored multiple papers, notable recent publications include:
They frequently publish in academic venues such as Sustainability, Expert Systems with Applications, SSRN Electronic Journal, IEEE Transactions on Intelligent Vehicles, and IEEE Transactions on Intelligent Transportation Systems.
Hamid Khayyam has collaborated extensively with co-authors including Mahdi Jalili, Ali Jamali, Reza N. Jazar, Mojgan Fayyazi, and Abbas S. Milani, reflecting a consistent engagement with a research community focused on energy management, intelligent vehicles, and machine learning applications in engineering.
Minoo Naebe;Jing Wang;Abbas Amini;Hamid Khayyam
Kamyar Shirvanimoghaddam;Salah U. Hamim;Mohammad Karbalaei Akbari;Seyed Mousa Fakhrhoseini
Hamid Khayyam;Reza N. Jazar;Srinivas Nunna;Gelayol Golkarnarenji
Minoo Naebe;Mohammad Mahdi Abolhasani;Hamid Khayyam;Abbas Amini
Hamid Khayyam;Alireza Bab-Hadiashar
K. Shirvanimoghaddam;H. Khayyam;H. Abdizadeh;M. Karbalaei Akbari
Hamid Khayyam;Bahman Javadi;Mahdi Jalili;Reza N. Jazar;Reza N. Jazar
Hamid Khayyam;Abbas Z. Kouzani;Eric J. Hu;Saeid Nahavandi
K. Shirvanimoghaddam;H. Khayyam;H. Abdizadeh;M. Karbalaei Akbari
Hamid Khayyam;Saeid Nahavandi;Sam Davis
Unknown
Hormoz Marzbani;Hamid Khayyam;Ching Nok To;Dai Vo Quoc
Hamid Khayyam;Hassan Ranjbarzadeh;Vincenzo Marano
Omid Zabihi;Hamid Khayyam;Bronwyn L. Fox;Minoo Naebe
Hamid Khayyam;Minoo Naebe;Abbas S. Milani;Seyed Mousa Fakhrhoseini
Seyed Mousa Fakhrhoseini;Hamid Khayyam;Minoo Naebe
Duong Phan;Alizera Bab-Hadiashar;Mojgan Fayyazi;Reza Hoseinnezhad
Hamid Khayyam;Saeid Nahavandi;Eric Hu;Abbas Kouzani
Hamid Khayyam;Minoo Naebe;Omid Zabihi;Reza Zamani
Hamid Khayyam;Jemal Abawajy;Bahman Javadi;Andrzej Goscinski
Gelayol Golkarnarenji;Minoo Naebe;Khashayar Badii;Abbas S. Milani
Mohammad Karbalaei Akbari;Kamyar Shirvanimoghaddam;Zhenyin Hai;Serge Zhuiykov
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