Ali Alazmani

1.6k total citations · 1 hit paper
43 papers, 1.2k citations indexed

About

Ali Alazmani is a scholar working on Biomedical Engineering, Surgery and Cognitive Neuroscience. According to data from OpenAlex, Ali Alazmani has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 12 papers in Surgery and 12 papers in Cognitive Neuroscience. Recurrent topics in Ali Alazmani's work include Soft Robotics and Applications (12 papers), Advanced Sensor and Energy Harvesting Materials (11 papers) and Tactile and Sensory Interactions (9 papers). Ali Alazmani is often cited by papers focused on Soft Robotics and Applications (12 papers), Advanced Sensor and Energy Harvesting Materials (11 papers) and Tactile and Sensory Interactions (9 papers). Ali Alazmani collaborates with scholars based in United Kingdom, Italy and United States. Ali Alazmani's co-authors include Peter Culmer, Hongbo Wang, Gregory de Boer, D. A. Jones, Robert Hewson, Markus A. Horvath, Conor J. Walsh, Frank A. Pigula, Ellen T. Roche and David Mooney and has published in prestigious journals such as Scientific Reports, Science Translational Medicine and Journal of Biomechanics.

In The Last Decade

Ali Alazmani

41 papers receiving 1.1k citations

Hit Papers

Soft robotic sleeve supports heart function 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ali Alazmani United Kingdom 15 830 323 178 157 128 43 1.2k
Patrick M. Aubin United States 16 1.0k 1.3× 157 0.5× 118 0.7× 113 0.7× 76 0.6× 33 1.3k
Siamak Najarian Iran 24 1.3k 1.6× 492 1.5× 165 0.9× 371 2.4× 198 1.5× 116 1.8k
Andrew McDaid New Zealand 23 1.1k 1.3× 140 0.4× 178 1.0× 39 0.2× 85 0.7× 109 1.4k
Keith E. Gordon United States 23 1.5k 1.8× 225 0.7× 39 0.2× 110 0.7× 82 0.6× 70 2.2k
Yo Kobayashi Japan 20 1.1k 1.3× 115 0.4× 195 1.1× 495 3.2× 51 0.4× 229 1.7k
Dana D. Damian United Kingdom 14 499 0.6× 240 0.7× 226 1.3× 47 0.3× 46 0.4× 40 775
Ye Ding United States 13 1.7k 2.0× 78 0.2× 197 1.1× 94 0.6× 33 0.3× 16 1.9k
Veronica J. Santos United States 17 1.1k 1.4× 617 1.9× 187 1.1× 220 1.4× 135 1.1× 39 1.7k
Pierre Renaud France 21 679 0.8× 67 0.2× 383 2.2× 135 0.9× 47 0.4× 103 1.3k
Jason E. Mitchell United States 18 1.1k 1.3× 236 0.7× 113 0.6× 198 1.3× 27 0.2× 42 1.5k

Countries citing papers authored by Ali Alazmani

Since Specialization
Citations

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

Fields of papers citing papers by Ali Alazmani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Alazmani

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Alazmani. A scholar is included among the top collaborators of Ali Alazmani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ali Alazmani. Ali Alazmani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Marghoub, Arsalan, et al.. (2025). Regional variability in craniofacial stiffness: a study in normal and Crouzon mice during postnatal development. Biomechanics and Modeling in Mechanobiology. 24(4). 1207–1222.
2.
Jones, D. A., et al.. (2024). Multiscale mechanical characterisation of the craniofacial system under external forces. Biomechanics and Modeling in Mechanobiology. 23(2). 675–685. 3 indexed citations
3.
Jones, D. A., et al.. (2022). Incipient Slip Sensing for Improved Grasping in Robot Assisted Surgery. IEEE Sensors Journal. 22(16). 16545–16554. 4 indexed citations
4.
Jones, D. A., Graham J. Chapman, Heidi J. Siddle, et al.. (2022). A Portable Insole System to Simultaneously Measure Plantar Pressure and Shear Stress. IEEE Sensors Journal. 22(9). 9104–9113. 25 indexed citations
5.
Jones, D. A., Angela E. Kedgley, Matthew D. Gardiner, et al.. (2022). HAILO: A Sensorised Hand Splint for the Exploration of Interaction Forces. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 2 indexed citations
6.
Cornette, Raphaël, et al.. (2022). Intentional craniofacial remodelling in Europe in the XIXth century: Quantitative evidence of soft tissue modifications from Toulouse, France. Journal of Stomatology Oral and Maxillofacial Surgery. 123(5). e342–e348.
7.
Jones, D. A., et al.. (2021). Utilising Incipient Slip for Grasping Automation in Robot Assisted Surgery. IEEE Robotics and Automation Letters. 7(2). 1071–1078. 6 indexed citations
8.
Alazmani, Ali, et al.. (2020). Engineering Incipient Slip Into Surgical Graspers to Enhance Grasp Performance. IEEE Transactions on Medical Robotics and Bionics. 2(4). 541–544. 6 indexed citations
9.
Jones, D. A., Graham J. Chapman, Heidi J. Siddle, et al.. (2020). An Inductive Force Sensor for In-Shoe Plantar Normal and Shear Load Measurement. IEEE Sensors Journal. 20(22). 13318–13331. 34 indexed citations
10.
Norton, Joseph, Jordan H. Boyle, Ali Alazmani, Peter Culmer, & Anne Neville. (2020). Macro-Scale Tread Patterns for Traction in the Intestine. IEEE Transactions on Biomedical Engineering. 67(11). 3262–3273. 8 indexed citations
11.
Jones, D. A., Ali Ghanbari, Angela E. Kedgley, et al.. (2020). Design and Evaluation of Magnetic Hall Effect Tactile Sensors for Use in Sensorized Splints. Sensors. 20(4). 1123–1123. 28 indexed citations
12.
Jones, D. A., Ali Alazmani, & Peter Culmer. (2019). A Soft Inductive Tactile Sensor for Slip Detection Within a Surgical Grasper Jaw. 1–3. 3 indexed citations
13.
Wang, Hongbo, D. A. Jones, Gregory de Boer, et al.. (2018). Design and Characterization of Tri-Axis Soft Inductive Tactile Sensors. IEEE Sensors Journal. 18(19). 7793–7801. 68 indexed citations
14.
Jayne, David, et al.. (2018). A biomechanical model of the human defecatory system to investigate mechanisms of continence. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 233(1). 114–126. 4 indexed citations
15.
Jones, D. A., Hongbo Wang, Ali Alazmani, & Peter Culmer. (2017). A soft multi-axial force sensor to assess tissue properties in RealTime. 5738–5743. 6 indexed citations
16.
17.
Wang, Hongbo, et al.. (2016). Design Methodology for Magnetic Field-Based Soft Tri-Axis Tactile Sensors. Sensors. 16(9). 1356–1356. 123 indexed citations
18.
Alazmani, Ali, et al.. (2015). Friction characteristics of trocars in laparoscopic surgery. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 229(4). 271–279. 7 indexed citations
19.
Moazen, Mehran, Ali Alazmani, Katherine L. Rafferty, et al.. (2015). Intracranial pressure changes during mouse development. Journal of Biomechanics. 49(1). 123–126. 28 indexed citations
20.
Alazmani, Ali, Peter Culmer, Martin Levesley, Mark Mon‐Williams, & Bipin Bhakta. (2008). The coordination of upper and lower arm rotation. Experimental Brain Research. 192(4). 635–649. 2 indexed citations

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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