Majid Mirmehdi

7.1k total citations · 2 hit papers
176 papers, 4.2k citations indexed

About

Majid Mirmehdi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Majid Mirmehdi has authored 176 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Computer Vision and Pattern Recognition, 23 papers in Media Technology and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Majid Mirmehdi's work include Image and Object Detection Techniques (31 papers), Medical Image Segmentation Techniques (26 papers) and Advanced Vision and Imaging (20 papers). Majid Mirmehdi is often cited by papers focused on Image and Object Detection Techniques (31 papers), Medical Image Segmentation Techniques (26 papers) and Advanced Vision and Imaging (20 papers). Majid Mirmehdi collaborates with scholars based in United Kingdom, Brazil and France. Majid Mirmehdi's co-authors include Xianghua Xie, Jack Greenhalgh, Paul F. Clark, M. Petrou, Jasjit S. Suri, Massimo Camplani, Bjorn Thomas, Dima Damen, Adeline Paiement and Lili Tao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Majid Mirmehdi

169 papers receiving 3.9k citations

Hit Papers

align trajectories

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.

British Machine Vision Conference 2000

2002 540 citations Majid Mirmehdi profile →
Real-Time Detection and Recognition of Road Traffic Signs

2012 289 citations Majid Mirmehdi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Majid Mirmehdi United Kingdom	31	2.9k	687	525	510	386	176	4.2k
Nicolai Petkov Netherlands	31	2.2k 0.7×	403 0.6×	749 1.4×	811 1.6×	203 0.5×	137	4.2k
Vijayan K. Asari United States	28	3.0k 1.0×	686 1.0×	1.3k 2.6×	997 2.0×	450 1.2×	283	5.5k
Martin Jägersand Canada	21	2.8k 1.0×	638 0.9×	611 1.2×	390 0.8×	285 0.7×	113	4.2k
Elisa Ricci Italy	35	3.4k 1.2×	522 0.8×	1.7k 3.3×	827 1.6×	543 1.4×	163	5.2k
Yun Liu China	34	3.9k 1.3×	825 1.2×	737 1.4×	364 0.7×	252 0.7×	114	5.2k
Kai Yu China	27	3.6k 1.2×	793 1.2×	1.3k 2.4×	392 0.8×	363 0.9×	69	4.9k
Sim Heng Ong Singapore	32	1.9k 0.6×	407 0.6×	555 1.1×	669 1.3×	394 1.0×	174	3.8k
Hasan Demirel Cyprus	34	2.8k 0.9×	828 1.2×	609 1.2×	397 0.8×	242 0.6×	174	4.6k
Chao-Yuan Wu United States	14	3.0k 1.0×	537 0.8×	2.1k 4.0×	549 1.1×	330 0.9×	20	5.8k
Xiaodi Hou China	11	5.3k 1.8×	891 1.3×	784 1.5×	273 0.5×	224 0.6×	11	6.4k

Countries citing papers authored by Majid Mirmehdi

Since Specialization

Citations

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

Fields of papers citing papers by Majid Mirmehdi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majid Mirmehdi

This figure shows the co-authorship network connecting the top 25 collaborators of Majid Mirmehdi. A scholar is included among the top collaborators of Majid Mirmehdi 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 Majid Mirmehdi. Majid Mirmehdi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Clatworthy, Philip, et al.. (2025). Automatic prediction of stroke treatment outcomes: latest advances and perspectives. Biomedical Engineering Letters. 15(3). 467–488. 1 indexed citations

Clatworthy, Philip, et al.. (2024). Automated Radiology Report Generation: A Review of Recent Advances. IEEE Reviews in Biomedical Engineering. 18. 368–387. 14 indexed citations

Burghardt, Tilo, et al.. (2023). Dynamic Curriculum Learning for Great Ape Detection in the Wild. International Journal of Computer Vision. 131(5). 1163–1181. 9 indexed citations

Morgan, Catherine, Alessandro Masullo, Majid Mirmehdi, et al.. (2023). Automated Real-World Video Analysis of Sit-to-Stand Transitions Predicts Parkinson’s Disease Severity. SHILAP Revista de lepidopterología. 7(1). 92–103. 7 indexed citations

Morgan, Catherine, Emma L. Tonkin, Alessandro Masullo, et al.. (2023). A multimodal dataset of real world mobility activities in Parkinson’s disease. Scientific Data. 10(1). 918–918. 9 indexed citations

Perrett, Toby, Alessandro Masullo, Dima Damen, et al.. (2022). Personalized Energy Expenditure Estimation: Visual Sensing Approach With Deep Learning. JMIR Formative Research. 6(9). e33606–e33606. 3 indexed citations

McConville, Ryan, Catherine Morgan, Róisín McNaney, et al.. (2021). Multimodal Classification of Parkinson’s Disease in Home Environments with Resiliency to Missing Modalities. Sensors. 21(12). 4133–4133. 17 indexed citations

Morgan, Catherine, Ian Craddock, Emma L. Tonkin, et al.. (2020). Protocol for PD SENSORS: Parkinson’s Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson’s disease. BMJ Open. 10(11). e041303–e041303. 17 indexed citations

Masullo, Alessandro, Tilo Burghardt, Dima Damen, Toby Perrett, & Majid Mirmehdi. (2020). Person Re-ID by Fusion of Video Silhouettes and Wearable Signals for Home Monitoring Applications. Sensors. 20(9). 2576–2576. 7 indexed citations

10.

Layne, Ryan, Sion Hannuna, Massimo Camplani, et al.. (2017). A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D. Edinburgh Research Explorer (University of Edinburgh). 1462–1470. 6 indexed citations

11.

Tao, Lili, Adeline Paiement, Dima Damen, et al.. (2016). A comparative study of pose representation and dynamics modelling for online motion quality assessment. Computer Vision and Image Understanding. 148. 136–152. 41 indexed citations

12.

Camplani, Massimo, Adeline Paiement, Majid Mirmehdi, et al.. (2016). Multiple human tracking in RGB‐depth data: a survey. IET Computer Vision. 11(4). 265–285. 37 indexed citations

13.

Hannuna, Sion, Xianghua Xie, Majid Mirmehdi, & Neill Campbell. (2009). GENERIC MOTION BASED OBJECT SEGMENTATION FOR ASSISTED NAVIGATION. Cronfa (Swansea University). 450–457. 1 indexed citations

14.

Markham, R.H., et al.. (2003). Automated Identification of Diabetic Retinal Exudates Using Support Vector Machines and Neural Networks. Investigative Ophthalmology & Visual Science. 44(13). 4000–4000. 5 indexed citations

15.

Osareh, Alireza, et al.. (2001). Automatic Recognition of Exudative Maculopathy using Fuzzy C-Means Clustering and Neural Networks. Bristol Research (University of Bristol). 56 indexed citations

16.

Mirmehdi, Majid & M. Petrou. (2000). Segmentation of Colour Textures. IEEE Transactions on Pattern Analysis and Machine Intelligence. 142–159. 12 indexed citations

17.

Clark, Paul F. & Majid Mirmehdi. (2000). Finding Text Regions Using Localised Measures. Bristol Research (University of Bristol). 675–684. 27 indexed citations

18.

Natale, Francesco Di, et al.. (1998). Automatic system for surface inspection and sorting of tiles. Journal of Materials Processing Technology. 179–188. 6 indexed citations

19.

Πέτρου, Μαρία, et al.. (1997). Multilevel probabilistic relaxation. Bristol Research (University of Bristol). 1 indexed citations

20.

Kittler, Josef, et al.. (1994). Detection of defects in colour texture surfaces. Machine Vision and Applications. 558–567. 19 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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