Payam Barnaghi

7.1k total citations · 1 hit paper
138 papers, 3.4k citations indexed

About

Payam Barnaghi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Payam Barnaghi has authored 138 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 39 papers in Computer Networks and Communications and 33 papers in Signal Processing. Recurrent topics in Payam Barnaghi's work include Semantic Web and Ontologies (26 papers), Context-Aware Activity Recognition Systems (23 papers) and Time Series Analysis and Forecasting (22 papers). Payam Barnaghi is often cited by papers focused on Semantic Web and Ontologies (26 papers), Context-Aware Activity Recognition Systems (23 papers) and Time Series Analysis and Forecasting (22 papers). Payam Barnaghi collaborates with scholars based in United Kingdom, United States and Malaysia. Payam Barnaghi's co-authors include Kerry Taylor, Cory Henson, María Bermúdez-Edo, Amit Sheth, Daniel Puschmann, Tarek Elsaleh, Frieder Ganz, Rahim Tafazolli, Wei Wang and Klaus Moessner and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Payam Barnaghi

129 papers receiving 3.3k citations

Hit Papers

Semantics for the Interne... 2012 2026 2016 2021 2012 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. Semantics for the Internet of Things
    2012 318 citations Payam Barnaghi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Payam Barnaghi United Kingdom 34 1.4k 1.2k 852 727 443 138 3.4k
Haruna Chiroma Nigeria 33 791 0.5× 1.2k 1.0× 841 1.0× 411 0.6× 327 0.7× 132 3.6k
Cláudio Bettini Italy 31 1.3k 0.9× 1.7k 1.5× 844 1.0× 1.4k 1.9× 703 1.6× 149 3.6k
Sagheer Abbas Pakistan 40 991 0.7× 1.4k 1.2× 1.0k 1.2× 713 1.0× 205 0.5× 150 4.6k
Shah Nazir Pakistan 29 893 0.6× 1.0k 0.9× 784 0.9× 469 0.6× 271 0.6× 173 3.6k
Mukesh Prasad Australia 31 1.1k 0.8× 1.3k 1.1× 679 0.8× 1.1k 1.5× 345 0.8× 201 5.2k
Shonali Krishnaswamy Australia 26 964 0.7× 1.4k 1.2× 921 1.1× 952 1.3× 681 1.5× 156 3.4k
Anand Paul South Korea 36 1.8k 1.2× 973 0.8× 887 1.0× 941 1.3× 386 0.9× 168 4.8k
Rongfang Bie China 28 899 0.6× 885 0.8× 586 0.7× 642 0.9× 236 0.5× 174 3.2k
Xianzhi Wang Australia 27 615 0.4× 1.3k 1.1× 913 1.1× 657 0.9× 249 0.6× 161 3.0k
Wazir Zada Khan Saudi Arabia 31 1.9k 1.3× 963 0.8× 1.4k 1.6× 551 0.8× 335 0.8× 104 4.4k

Countries citing papers authored by Payam Barnaghi

Since Specialization
Citations

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

Fields of papers citing papers by Payam Barnaghi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payam Barnaghi

This figure shows the co-authorship network connecting the top 25 collaborators of Payam Barnaghi. A scholar is included among the top collaborators of Payam Barnaghi 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 Payam Barnaghi. Payam Barnaghi 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.
Geranmayeh, Fatemeh, et al.. (2025). Evaluating spoken language as a biomarker for automated screening of cognitive impairment. Communications Medicine. 6(1). 6–6.
2.
Rodríguez‐Fórtiz, María José, et al.. (2025). Modelling time-series data generation with diffusion models for triaxial data. Applied Soft Computing. 186. 114195–114195.
3.
Nilforooshan, Ramin, et al.. (2024). Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care. Computers in Biology and Medicine. 183. 109287–109287. 2 indexed citations
4.
Zhao, Yuchen, et al.. (2024). Analyzing entropy features in time-series data for pattern recognition in neurological conditions. Artificial Intelligence in Medicine. 150. 102821–102821. 14 indexed citations
5.
6.
Kouchaki, Samaneh, Michael A. Crone, Kirsten Jensen, et al.. (2024). Digital remote monitoring for screening and early detection of urinary tract infections. npj Digital Medicine. 7(1). 11–11. 11 indexed citations
7.
Papachristou, Nikolaos, Grigorios Kotronoulas, Νικόλαος Δικαίος, et al.. (2023). Digital Transformation of Cancer Care in the Era of Big Data, Artificial Intelligence and Data-Driven Interventions: Navigating the Field. Seminars in Oncology Nursing. 39(3). 151433–151433. 13 indexed citations
8.
Kouchaki, Samaneh, Olga Balazikova, Eyal Soreq, et al.. (2023). TIHM: An open dataset for remote healthcare monitoring in dementia. Scientific Data. 10(1). 8 indexed citations
9.
Kolanko, Magdalena, David Wingfield, Danielle Wilson, et al.. (2023). A Markov Chain Model for Identifying Changes in Daily Activity Patterns of People Living With Dementia. IEEE Internet of Things Journal. 11(2). 2244–2254. 5 indexed citations
10.
David, Michael, Magdalena Kolanko, Lucia M. Li, et al.. (2023). Remote Monitoring of Physiology in People Living With Dementia: An Observational Cohort Study. JMIR Aging. 6. e43777–e43777. 9 indexed citations
11.
Singh, Sukhdeep, et al.. (2023). AI in Wireless for Beyond 5G Networks. 1 indexed citations
12.
Zhao, Yuchen, et al.. (2022). Using Entropy Measures for Monitoring the Evolution of Activity Patterns. 1–6. 1 indexed citations
13.
Gupta, Lalit, et al.. (2021). Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance. Sensors. 21(24). 8409–8409. 11 indexed citations
14.
Enshaeifar, Shirin, Ahmed Zoha, Severin Skillman, et al.. (2019). Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia. PLoS ONE. 14(1). e0209909–e0209909. 59 indexed citations
15.
Bermúdez-Edo, María, Payam Barnaghi, & Klaus Moessner. (2018). Analysing real world data streams with spatio-temporal correlations: Entropy vs. Pearson correlation. Automation in Construction. 88. 87–100. 77 indexed citations
16.
Anicic, Darko, Payam Barnaghi, Emanuele Della Valle, et al.. (2017). Joint Proceedings of the Web Stream Processing workshop (WSP 2017) and the 2nd International Workshop on Ontology Modularity, Contextuality, and Evolution (WOMoCoE 2017). CEUR Workshop Proceedings. 1936. 1 indexed citations
17.
Barnaghi, Payam & Amit Sheth. (2014). Internet of Things: The Story So Far. Scholar Commons (University of South Carolina). 4 indexed citations
18.
Liu, Xiulei, Payam Barnaghi, Klaus Moessner, & Jianxin Liao. (2010). Using concept and structure similarities for ontology integration. 234–235. 1 indexed citations
19.
Wang, Wei & Payam Barnaghi. (2007). Semantic support for medical image search and retrieval. Surrey Research Insight Open Access (The University of Surrey). 315–319. 8 indexed citations
20.
Barnaghi, Payam & Sameem Abdul Kareem. (2007). Relation Robustness Evaluation for the Semantic Associations. Electronic Journal of Knowledge Management. 5(3). 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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