Fhad Al‐Modaf

918 citations
8 papers · 690 indexed · 1 hit paper · h-index 6

Impact in

Papers in

Fhad Al‐Modaf

8 papers receiving 678 citations

Hit Papers

Soft Actuators for Soft Robotic Applications: A Review 2020 · 372 citations
3722020202620222024100200300

Peers

Fhad Al‐Modaf
Comparison fields: 5 of 54
  • Biomedical Engineering 587
  • Condensed Matter Physics 117
  • Mechanical Engineering 310
  • Polymers and Plastics 104
  • Automotive Engineering 48
Replace Ilse M. Van Meerbeek with:
Ilse M. Van Meerbeek United States
Mai Thanh Thai Australia
Tiefeng Li China
Trung Thien Hoang Australia
Lana Joharji Saudi Arabia
Benjamin C. Mac Murray United States
R. Adam Bilodeau United States
Hongda Lu Australia
Majid Taghavi United Kingdom
Jahan Zeb Gul South Korea
Fhad Al‐Modaf relative to Ilse M. Van Meerbeek United States Ilse M. Van Meerbeek's profile →
Citations per field
00.5×3.5×
Ilse M. Van Meerbeek · 1×
Citations per year

Countries citing papers authored by Fhad Al‐Modaf

Since Specialization
Citations

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

Fields of papers citing papers by Fhad Al‐Modaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fhad Al‐Modaf. 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 Fhad Al‐Modaf. The network helps show where Fhad Al‐Modaf may publish in the future.

Co-authorship network

The 11 scholars most cited alongside Fhad Al‐Modaf, 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 Fhad Al‐Modaf Line = papers co-authored together Fhad Al‐Modaf links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 20244
2 20221
3 20228
4 20226
5 202243
6 2021120
7
Soft Actuators for Soft Robotic Applications: A Review
Hit paper breakdown →
2020372
8 2020136

About Fhad Al‐Modaf

Fhad Al‐Modaf is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Mechanical Engineering, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 690 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (6 papers), Muscle activation and electromyography studies (3 papers), Advanced Materials and Mechanics (3 papers), Tactile and Sensory Interactions (2 papers), Dielectric materials and actuators (2 papers), Neuroscience and Neural Engineering (2 papers), Photopolymerization techniques and applications (1 paper) and Photochromic and Fluorescence Chemistry (1 paper). The work is most often cited by research in Biomedical Engineering (587 citations), Condensed Matter Physics (117 citations), Mechanical Engineering (310 citations), Polymers and Plastics (104 citations) and Automotive Engineering (48 citations). Fhad Al‐Modaf has collaborated with scholars based in Saudi Arabia, United States and India. Frequent co-authors include Nazek El‐Atab, Muhammad M. Hussain, Nadeem Qaiser, Rishabh Mishra, Lana Joharji, Aljawharah A. Alsharif, Sohail F. Shaikh, Sherjeel M. Khan, Fahad Alam and Aftab M. Hussain. Their work appears in journals such as Microelectronic Engineering, ACS Omega, IEEE Sensors Journal, Advanced Functional Materials and ECS Transactions.

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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