Kofi Appiah

815 citations

52 papers · 572 indexed · h-index 14

Impact in

Computer Vision and Pattern Recognition top 5%
- Context-Aware Activity Recognition Systems
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
Developmental Biology top 10%

Papers in ⓘ

Computer Vision and Pattern Recognition 27
- Video Surveillance and Tracking Methods 15
- Context-Aware Activity Recognition Systems 11
- Advanced Vision and Imaging 7
- Human Pose and Action Recognition 6
- Advanced Image and Video Retrieval Techniques 5
Electrical and Electronic Engineering 13
- CCD and CMOS Imaging Sensors 6

Co-authors: Andrew Hunter (20 shared papers)Patrick Dickinson (15 shared papers)Ahmad Lotfi (11 shared papers)Hongying Meng (9 shared papers)Caroline Langensiepen (5 shared papers)Heather M. Powell (4 shared papers)JD Owens (2 shared papers)Deepayan Bhowmik (1 shared paper)
Journals: Computer Vision and Image Understanding (2 papers)Neurocomputing (2 papers)IEEE Transactions on Information Forensics and Security (1 paper)Image and Vision Computing (1 paper)IEEE Access (1 paper)
Partner nations: United Kingdom China Italy

In The Last Decade

Kofi Appiah

49 papers receiving 551 citations

Peers

Countries citing papers authored by Kofi Appiah

Since Specialization

Citations

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

Fields of papers citing papers by Kofi Appiah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kofi Appiah, 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 Kofi Appiah Line = papers co-authored together Kofi Appiah links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	A comparative review of dynamic neural networks and hidden Markov model methods for mobile on-device speech recognition Neural Computing and Applications ·M. K. Mustafa, Tony Allen, Kofi Appiah	2017	63
2	Supporting Independent Living for Older Adults; Employing a Visual Based Fall Detection Through Analysing the Motion and Shape of the Human Body IEEE Access ·Ahmad Lotfi, Suad Albawendi, Heather M. Powell, Kofi Appiah, Caroline Langensiepen	2018	56
3	A single-chip FPGA implementation of real-time adaptive background model Lincoln Repository (University of Lincoln) ·Kofi Appiah, Andrew Hunter	2006	35
4	Accelerated hardware video object segmentation: From foreground detection to connected components labelling Computer Vision and Image Understanding ·Kofi Appiah, Andrew Hunter, Patrick Dickinson, Hongying Meng	2010	33
5	A run-length based connected component algorithm for FPGA implementation Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) ·Kofi Appiah, Andrew Hunter, Patrick Dickinson, JD Owens	2008	27
6	Implementation and Applications of Tri-State Self-Organizing Maps on FPGA IEEE Transactions on Circuits and Systems for Video Technology ·Kofi Appiah, Andrew Hunter, Patrick Dickinson, Hongying Meng	2012	22
7	A modified model for the Lobula Giant Movement Detector and its FPGA implementation Computer Vision and Image Understanding ·Hongying Meng, Kofi Appiah, Shigang Yue, Andrew Hunter, Mervyn Hobden, Nigel Priestley, Peter Hobden, Cy Pettit	2010	21
8	FPGA implementation of Naive Bayes classifier for visual object recognition Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) ·Hongying Meng, Kofi Appiah, Andrew Hunter, Patrick Dickinson	2011	20
9	Automatic classification of flying bird species using computer vision techniques Pattern Recognition Letters ·John Atanbori, Wenting Duan, John F. Murray, Kofi Appiah, Patrick Dickinson	2015	20
10	Video Based Fall Detection using Features of Motion, Shape and Histogram Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) ·Suad Albawendi, Ahmad Lotfi, Heather M. Powell, Kofi Appiah	2018	19
11	A spatially distributed model for foreground segmentation Image and Vision Computing ·Patrick Dickinson, Andrew Hunter, Kofi Appiah	2008	19
12	A binary Self-Organizing Map and its FPGA implementation Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) ·Kofi Appiah, Andrew Hunter, Hongying Meng, Shigang Yue, Mervyn Hobden, Nigel Priestley, Peter Hobden, Cy Pettit	2009	18
13	Classification of bird species from video using appearance and motion features Ecological Informatics ·John Atanbori, Wenting Duan, Edward Shaw, Kofi Appiah, Patrick Dickinson	2018	16
14	Embedded Vision Systems: A Review of the Literature Lecture notes in computer science ·Deepayan Bhowmik, Kofi Appiah	2018	15
15	A multi-level refinement approach towards the classification of quotidian activities using accelerometer data Journal of Ambient Intelligence and Humanized Computing ·Dario Ortega Anderez, Ahmad Lotfi, Caroline Langensiepen, Kofi Appiah	2018	13
16	Human behavioural analysis with self-organizing map for ambient assisted living Lincoln Repository (University of Lincoln) ·Kofi Appiah, Andrew Hunter, Ahmad Lotfi, Christopher Waltham, Patrick Dickinson	2014	12
17	Behavioral evidence for memory replay of video episodes in the macaque eLife ·Shuzhen Zuo, Lei Wang, Jung H. Shin, Yudian Cai, Boqiang Zhang, Sang Wan Lee, Kofi Appiah, Yongdi Zhou, Sze Chai Kwok	2020	12
18	A modified sparse distributed memory model for extracting clean patterns from noisy inputs Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) ·Hongying Meng, Kofi Appiah, Andrew Hunter, Shigang Yue, Mervyn Hobden, Nigel Priestley, Peter Hobden, Cy Pettit	2009	12
19	A Method for Detecting Abnormal Program Behavior on Embedded Devices IEEE Transactions on Information Forensics and Security ·Xiaojun Zhai, Kofi Appiah, Shoaib Ehsan, Gareth Howells, Huosheng Hu, Dongbing Gu, Klaus D. McDonald-Maier	2015	12
20	A modified neural network model for Lobula Giant Movement Detector with additional depth movement feature Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) ·Hongying Meng, Shigang Yue, Andrew Hunter, Kofi Appiah, Mervyn Hobden, Nigel Priestley, Peter Hobden, Cy Pettit	2009	12

About Kofi Appiah

Kofi Appiah is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 52 papers that have together received 572 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (15 papers), Context-Aware Activity Recognition Systems (11 papers), Advanced Vision and Imaging (7 papers), Human Pose and Action Recognition (6 papers), CCD and CMOS Imaging Sensors (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Photoreceptor and optogenetics research (5 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (320 citations), Developmental Biology (20 citations), Signal Processing (63 citations), Aging (9 citations) and Artificial Intelligence (149 citations). Kofi Appiah has collaborated with scholars based in United Kingdom, China and Italy. Frequent co-authors include Andrew Hunter, Patrick Dickinson, Ahmad Lotfi, Hongying Meng, Caroline Langensiepen, Heather M. Powell, JD Owens, Deepayan Bhowmik, Peter Hobden and Shigang Yue. Their work appears in journals such as Computer Vision and Image Understanding, Neurocomputing, IEEE Transactions on Information Forensics and Security, Image and Vision Computing and IEEE Access.

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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