Dorothy Monekosso

2.5k total citations · 1 hit paper
63 papers, 1.3k citations indexed

About

Dorothy Monekosso is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Dorothy Monekosso has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 10 papers in Signal Processing. Recurrent topics in Dorothy Monekosso's work include Anomaly Detection Techniques and Applications (16 papers), Video Surveillance and Tracking Methods (15 papers) and Human Pose and Action Recognition (13 papers). Dorothy Monekosso is often cited by papers focused on Anomaly Detection Techniques and Applications (16 papers), Video Surveillance and Tracking Methods (15 papers) and Human Pose and Action Recognition (13 papers). Dorothy Monekosso collaborates with scholars based in United Kingdom, Spain and Singapore. Dorothy Monekosso's co-authors include Paolo Remagnino, Sergio A. Velastín, Li-Qun Xu, Sarah Barman, Christopher G. Owen, Robert Mullen, Peter H. Whincup, Jeffrey Ng, Carl Paterson and Alicja R. Rudnicka and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Dorothy Monekosso

59 papers receiving 1.2k citations

Hit Papers

Crowd analysis: a survey 2008 2026 2014 2020 2008 100 200 300
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. Crowd analysis: a survey
    2008 391 citations Dorothy Monekosso, Paolo Remagnino et al. Machine Vision and Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dorothy Monekosso United Kingdom 12 745 443 322 218 144 63 1.3k
Omar Elharrouss Qatar 20 868 1.2× 328 0.7× 270 0.8× 45 0.2× 40 0.3× 65 1.4k
Khosro Rezaee Iran 18 304 0.4× 328 0.7× 158 0.5× 41 0.2× 26 0.2× 70 943
Igi Ardiyanto Indonesia 15 348 0.5× 310 0.7× 226 0.7× 67 0.3× 20 0.1× 142 945
Norah Saleh Alghamdi Saudi Arabia 21 236 0.3× 438 1.0× 363 1.1× 92 0.4× 16 0.1× 106 1.3k
Noor Almaadeed Qatar 20 700 0.9× 282 0.6× 115 0.4× 36 0.2× 34 0.2× 42 1.1k
João Monteiro Portugal 20 313 0.4× 144 0.3× 93 0.3× 68 0.3× 101 0.7× 122 1.4k
Chirag Patel India 11 370 0.5× 255 0.6× 120 0.4× 76 0.3× 20 0.1× 37 961
Mamoona Naveed Asghar Ireland 17 723 1.0× 239 0.5× 79 0.2× 26 0.1× 31 0.2× 64 1.2k
Jimin Xiao China 25 1.6k 2.1× 620 1.4× 132 0.4× 13 0.1× 31 0.2× 110 2.0k
Mahmoud Badawy Egypt 23 380 0.5× 656 1.5× 277 0.9× 28 0.1× 35 0.2× 78 1.8k

Countries citing papers authored by Dorothy Monekosso

Since Specialization
Citations

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

Fields of papers citing papers by Dorothy Monekosso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dorothy Monekosso

This figure shows the co-authorship network connecting the top 25 collaborators of Dorothy Monekosso. A scholar is included among the top collaborators of Dorothy Monekosso 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 Dorothy Monekosso. Dorothy Monekosso 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
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Vallejo, David, et al.. (2023). Rehab-Immersive: A framework to support the development of virtual reality applications in upper limb rehabilitation. SoftwareX. 23. 101412–101412. 11 indexed citations
3.
Albusac, Javier, et al.. (2023). Innovative haptic-based system for upper limb rehabilitation in visually impaired individuals: a multilayer approach. Multimedia Tools and Applications. 83(21). 60537–60563. 2 indexed citations
4.
Sheikh-Akbari, Akbar, et al.. (2022). Multi-band PCA based ear recognition technique. Multimedia Tools and Applications. 82(2). 2077–2099. 6 indexed citations
5.
Sheikh-Akbari, Akbar, et al.. (2021). Ear Recognition using Chainlet based Multi-Band SVM. 1–5.
6.
Vallejo, David, et al.. (2020). A Distributed Gamified System Based on Automatic Assessment of Physical Exercises to Promote Remote Physical Rehabilitation. IEEE Access. 8. 91424–91434. 11 indexed citations
7.
Sheikh-Akbari, Akbar, et al.. (2019). Single Image Ear Recognition Using Wavelet-Based Multi-Band PCA. Leeds Beckett Repository (Leeds Beckett University). 1–4. 3 indexed citations
8.
Argyriou, Vasileios, et al.. (2018). Superframes : a temporal video segmentation. Research Repository (Kingston University London). 7 indexed citations
9.
Mandal, Bappaditya, et al.. (2018). Deep Residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition. 938–942. 9 indexed citations
10.
Zhang, Shumei, Dorothy Monekosso, & Paolo Remagnino. (2018). Data Pre-processing and Model Selection Strategies for Human Posture Recognition. 3 indexed citations
11.
Flórez‐Revuelta, Francisco, et al.. (2015). Marginalised Stacked Denoising Autoencoders for Robust Representation of Real-Time Multi-View Action Recognition. Sensors. 15(7). 17209–17231. 12 indexed citations
12.
Monekosso, Dorothy, et al.. (2015). Guest editors' introduction: ambient assisted living. Research Repository (Kingston University London). 1 indexed citations
13.
Climent-Pérez, Pau, et al.. (2014). Detecting Events in Crowded Scenes using Tracklet Plots. 174–181. 2 indexed citations
14.
Lim, Mei Kuan, Chee Seng Chan, Dorothy Monekosso, & Paolo Remagnino. (2014). Refined particle swarm intelligence method for abrupt motion tracking. Information Sciences. 283. 267–287. 15 indexed citations
15.
Lim, Mei Kuan, Chee Seng Chan, Dorothy Monekosso, & Paolo Remagnino. (2013). SwATrack: A Swarm Intelligence-based Abrupt Motion Tracker. Machine Vision and Applications. 37–40. 6 indexed citations
16.
Monekosso, Dorothy, et al.. (2011). Learning video manifold for segmenting crowd events and abnormality detection. UWE Research Repository (UWE Bristol). 3 indexed citations
17.
Remagnino, Paolo, Dorothy Monekosso, & Lakhmi C. Jain. (2011). Innovations in Defence Support Systems -3: Intelligent Paradigms in Security. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 232–232. 1 indexed citations
18.
Huang, Yu, Dorothy Monekosso, Hui Wang, & Juan Carlos Augusto. (2011). A Concept Grounding Approach for Glove-Based Gesture Recognition. 1. 358–361. 11 indexed citations
19.
Monekosso, Dorothy, et al.. (2010). Reactive Coordination and Adaptive Lattice Formation in Mobile Robotic Surveillance Swarms.. Durham Research Online (Durham University). 229–242. 1 indexed citations
20.
Monekosso, Dorothy & Paolo Remagnino. (2010). Behavior Analysis for Assisted Living. IEEE Transactions on Automation Science and Engineering. 7(4). 879–886. 49 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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