Pejman Iravani

1.7k total citations · 1 hit paper
53 papers, 1.2k citations indexed

About

Pejman Iravani is a scholar working on Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pejman Iravani has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 14 papers in Control and Systems Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pejman Iravani's work include Prosthetics and Rehabilitation Robotics (11 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Muscle activation and electromyography studies (7 papers). Pejman Iravani is often cited by papers focused on Prosthetics and Rehabilitation Robotics (11 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Muscle activation and electromyography studies (7 papers). Pejman Iravani collaborates with scholars based in United Kingdom, United States and Hong Kong. Pejman Iravani's co-authors include Adrian Bowyer, Chris Palmer, Rhys Jones, P. Haufe, Andrew Plummer, Kevin C. Honeychurch, Frank Marken, Martina Medvidović‐Kosanović, Raquel Verdejo and Milan Sak‐Bosnar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Catalysis B: Environmental and Geophysical Research Letters.

In The Last Decade

Pejman Iravani

51 papers receiving 1.2k citations

Hit Papers

RepRap – the replicating rapid prototyper 2011 2026 2016 2021 2011 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. RepRap – the replicating rapid prototyper
    2011 497 citations Rhys Jones, P. Haufe et al. Robotica profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pejman Iravani United Kingdom 14 447 438 285 183 178 53 1.2k
F. Kimura Japan 25 360 0.8× 219 0.5× 983 3.4× 561 3.1× 258 1.4× 92 2.0k
Gerald C. Anzalone United States 13 380 0.9× 671 1.5× 374 1.3× 204 1.1× 139 0.8× 19 1.3k
Qinghui Wang China 25 520 1.2× 172 0.4× 889 3.1× 492 2.7× 299 1.7× 105 2.0k
Seok‐Hee Lee South Korea 21 391 0.9× 955 2.2× 664 2.3× 574 3.1× 502 2.8× 99 1.9k
Amit Lopes United States 13 259 0.6× 396 0.9× 198 0.7× 258 1.4× 229 1.3× 25 901
Rocco Furferi Italy 21 322 0.7× 192 0.4× 217 0.8× 334 1.8× 45 0.3× 136 1.5k
David Kim United States 17 230 0.5× 439 1.0× 158 0.6× 206 1.1× 795 4.5× 61 1.5k
Michele Lanzetta Italy 18 381 0.9× 240 0.5× 475 1.7× 477 2.6× 101 0.6× 69 1.3k
Chen Zheng China 27 325 0.7× 177 0.4× 1.1k 3.7× 318 1.7× 196 1.1× 164 2.4k
Matthias Pütz Germany 18 327 0.7× 100 0.2× 943 3.3× 560 3.1× 278 1.6× 173 1.6k

Countries citing papers authored by Pejman Iravani

Since Specialization
Citations

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

Fields of papers citing papers by Pejman Iravani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pejman Iravani

This figure shows the co-authorship network connecting the top 25 collaborators of Pejman Iravani. A scholar is included among the top collaborators of Pejman Iravani 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 Pejman Iravani. Pejman Iravani 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.
Harrison, R. G., et al.. (2022). Ionic Charge Emission Into Fog From a Remotely Piloted Aircraft. Geophysical Research Letters. 49(19). 5 indexed citations
2.
Metcalfe, Benjamin, et al.. (2021). A Cost-Effective Pulse Oximeter Designed in Response to the COVID-19 Pandemic. SHILAP Revista de lepidopterología. 5(1). 3 indexed citations
3.
Metcalfe, Benjamin, et al.. (2020). Pressure Sensitive Skin for Prosthetic Hands: 2D Contact Location Determination Using Output Connections from a Single Side. PubMed. 2020. 4341–4344. 1 indexed citations
4.
5.
Feng, Yuxiang, et al.. (2019). A Support Vector Clustering Based Approach for Driving Style Classification. International Journal of Machine Learning and Computing. 9(3). 344–350. 13 indexed citations
6.
Bois, Jonathan L. du, et al.. (2018). Agile and Adaptive Hopping Height Control for a Pneumatic Robot. 22. 5755–5760. 2 indexed citations
7.
Feng, Yuxiang, et al.. (2018). Driving Style Analysis by Classifying Real-World Data with Support Vector Clustering. 264–268. 37 indexed citations
8.
Iravani, Pejman, et al.. (2018). Hybrid Tests of Contact Events in Air-to-Air Refueling. Journal of Aircraft. 55(5). 2092–2103. 5 indexed citations
9.
Honeychurch, Kevin C., et al.. (2018). Anodic stripping voltammetric determination of zinc at a 3-D printed carbon nanofiber–graphite–polystyrene electrode using a carbon pseudo-reference electrode. Sensors and Actuators B Chemical. 267. 476–482. 70 indexed citations
10.
Zhang, Runan, Pejman Iravani, & Patrick Keogh. (2017). Closed loop control of force operation in a novel self-sensing dielectric elastomer actuator. Sensors and Actuators A Physical. 264. 123–132. 18 indexed citations
11.
Hall, Peter, et al.. (2017). Object recognition combining vision and touch. PubMed. 4(1). 2–2. 16 indexed citations
12.
Zhang, Runan, Xiaoqiang Huang, Tiefeng Li, Pejman Iravani, & Patrick Keogh. (2016). Novel Arrangements for High Performance and Durable Dielectric Elastomer Actuation. Actuators. 5(3). 20–20. 3 indexed citations
13.
Hall, Peter, et al.. (2015). Bayesian tactile object recognition: Learning and recognising objects using a new inexpensive tactile sensor. Pure (University of Bath). 3909–3914. 14 indexed citations
14.
Plummer, Andrew, et al.. (2015). A survey of dynamic robot legged locomotion. 770–775. 11 indexed citations
15.
Plummer, Andrew, et al.. (2012). Implementation of closed loop signal shaping in a hydraulic system. The University of Bath Online Publications Store (The University of Bath). 3 indexed citations
16.
Jones, Rhys, et al.. (2011). RepRap – the replicating rapid prototyper. Robotica. 29(1). 177–191. 497 indexed citations breakdown →
17.
18.
Iravani, Pejman & Jeff Johnson. (2005). The emergence of a visual communication language in robotic football. 1 indexed citations
19.
Iravani, Pejman. (2004). Behaviour-based architecture for abstract learning and control. 1 indexed citations
20.
Johnson, Jeff & Pejman Iravani. (2004). Robotics in the emergence of complexity science. 1 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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