Joseph Rafferty

775 total citations
47 papers, 385 citations indexed

About

Joseph Rafferty is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Joseph Rafferty has authored 47 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 14 papers in Computer Networks and Communications and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Joseph Rafferty's work include Context-Aware Activity Recognition Systems (18 papers), IoT and Edge/Fog Computing (10 papers) and Technology Use by Older Adults (7 papers). Joseph Rafferty is often cited by papers focused on Context-Aware Activity Recognition Systems (18 papers), IoT and Edge/Fog Computing (10 papers) and Technology Use by Older Adults (7 papers). Joseph Rafferty collaborates with scholars based in United Kingdom, Mexico and Spain. Joseph Rafferty's co-authors include Chris Nugent, Liming Chen, Jun Liu, Jonathan Synnott, Philip A. Catherwood, Zhanfeng Cui, Ian Cleland, Mamun Abu-Tair, Philip Morrow and Matías García-Constantino and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Joseph Rafferty

45 papers receiving 374 citations

Peers

Joseph Rafferty

CVPR

CNC

EEE

Minh Pham United States

Belkacem Chikhaoui Canada

Bryan Minor United States

Qin Ni China

Shumei Zhang China

Daniel Cesarini Italy

Andrea Kulakov North Macedonia

Zhengyi Le United States

Julián Ramos United States

Bessam Abdulrazak Canada

Minh Pham United States

Joseph Rafferty

145 ×0.8

CVPR

111 ×1.0

CNC

56 ×0.7

64 ×0.9

EEE

27 ×0.5

Citations per year, relative to Joseph Rafferty Joseph Rafferty (= 1×) peers Minh Pham

Countries citing papers authored by Joseph Rafferty

Since Specialization

Citations

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

Fields of papers citing papers by Joseph Rafferty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Rafferty

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

All Works

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20 of 20 papers shown

Rafferty, Joseph, et al.. (2024). SHIELD: Secure holistic IoT environment with ledger-based defense. Internet of Things. 30. 101473–101473. 1 indexed citations

Rafferty, Joseph, et al.. (2024). Artificial intelligence-enhanced signal detection technique for beyond fifth generation networks. Computers & Electrical Engineering. 119. 109608–109608. 2 indexed citations

Rafferty, Joseph, et al.. (2024). Evaluating the Impact of a Daylight-Simulating Luminaire on Mood, Agitation, Rest-Activity Patterns, and Social Well-Being Parameters in a Care Home for People With Dementia: Cohort Study. JMIR mhealth and uhealth. 12. e56951–e56951. 2 indexed citations

Rafferty, Joseph, et al.. (2024). Optimizing MIMO Detection with DM-Detnet in 6G Networks. Ulster University Research Portal (Ulster University). 1–6. 1 indexed citations

Rafferty, Joseph, et al.. (2023). Transfer and CNN-Based De-Authentication (Disassociation) DoS Attack Detection in IoT Wi-Fi Networks. Electronics. 12(17). 3731–3731. 4 indexed citations

Rafferty, Joseph, et al.. (2023). Bluetooth 5.0 Suitability Assessment for Emergency Response within Fire Environments. Electronics. 12(22). 4599–4599. 2 indexed citations

Alam, Gulzar, et al.. (2023). Improving Prospective Healthcare Outcomes by Leveraging Open Data and Explainable AI. 486–492. 2 indexed citations

Moore, Adrian, et al.. (2022). SLA- Gα: The Next Generation of SLAs for IoT. 1–8.

Dekker, Sidney, et al.. (2022). Restorative Just Culture in Practice. Productivity Press eBooks. 16 indexed citations

10.

Rafferty, Joseph, et al.. (2021). Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management. International Journal of Environmental Research and Public Health. 18(3). 1327–1327. 23 indexed citations

11.

García-Constantino, Matías, et al.. (2021). Design and Implementation of a Smart Home in a Box to Monitor the Wellbeing of Residents With Dementia in Care Homes. Frontiers in Digital Health. 3. 798889–798889. 7 indexed citations

12.

Rafferty, Joseph, et al.. (2021). Bluetooth RSSI Signal Chaining for Mesh Network Analysis. 19. 248–253. 1 indexed citations

13.

Baños, Oresti, Joseph Rafferty, & Luís A. Castro. (2021). Internet of things for health and well-being applications. International Journal of Distributed Sensor Networks. 17(3). 812552766–812552766. 1 indexed citations

14.

Abu-Tair, Mamun, Pushpinder Kaur Chouhan, Ian Cleland, et al.. (2019). Evaluation of an IoT Framework for a Workplace Wellbeing Application. 1783–1788. 4 indexed citations

15.

Rafferty, Joseph, Javier Medina-Quero, Catherine Saunders, et al.. (2019). Thermal Vision Based Fall Detection via Logical and Data driven Processes. 35–40. 3 indexed citations

16.

García-Constantino, Matías, Dagoberto Cruz‐Sandoval, Irvin Hussein López-Nava, et al.. (2019). Study Design of an Environmental Smart Microphone System to Detect Anxiety in Patients with Dementia. 383–388. 1 indexed citations

17.

Rafferty, Joseph, Jonathan Synnott, Chris Nugent, et al.. (2018). A Scalable, Research Oriented, Generic, Sensor Data Platform. IEEE Access. 6. 45473–45484. 18 indexed citations

18.

Rafferty, Joseph, Liming Chen, Chris Nugent, & Jun Liu. (2015). Goal Lifecycles and Ontological Models for Intention Based Assistive Living within Smart Environments. DMU Open Research Archive (De Montfort University). 30. 1–14. 13 indexed citations

19.

Rafferty, Joseph, Chris Nugent, Jun Liu, & Liming Chen. (2015). Automatic Metadata Generation Through Analysis of Narration Within Instructional Videos. Journal of Medical Systems. 39(9). 94–94. 10 indexed citations

20.

Rafferty, Joseph, et al.. (1998). Tag Image File Format (TIFF) - F Profile for Facsimile. RFC. 2306. 1–25. 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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