Payam Barnaghi

7.1k citations
138 papers · 3.4k indexed · 1 hit paper · h-index 34
Topics
Semantic Web and Ontologies (26 papers)Context-Aware Activity Recognition Systems (23 papers)Time Series Analysis and Forecasting (22 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Payam Barnaghi

129 papers receiving 3.3k citations

Hit Papers

Semantics for the Internet of Things20122026201620212012100200300

Peers

Payam Barnaghi
Comparison fields: 5 of 163
  • Computer Networks and Communications 1.4k
  • Artificial Intelligence 1.2k
  • Information Systems 852
  • Computer Vision and Pattern Recognition 727
  • Signal Processing 443
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Citations per field
00.5×1.5×2.3×
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Citations per year

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
#WorkIndexed citations
1 0
2 0
3 2
4 1
5 14
6 11
7 13
8 8
9 5
10 9
11 11
12 59
13 50
14
Joint Proceedings of the Web Stream Processing workshop (WSP 2017) and the 2nd International Workshop on Ontology Modularity, Contextuality, and Evolution (WOMoCoE 2017)
1
15 65
16
A test-driven approach for life cycle management of internet of things enabled services
5
17
Service modelling for the Internet of Things
133
18
Using concept and structure similarities for ontology integration
1
19
Semantic support for medical image search and retrieval
8
20
Relation Robustness Evaluation for the Semantic Associations
2

About Payam Barnaghi

Payam Barnaghi is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 138 papers that have together received 3.4k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (26 papers), Context-Aware Activity Recognition Systems (23 papers) and Time Series Analysis and Forecasting (22 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Signal Processing (443 citations) and Information Systems (852 citations). Payam Barnaghi has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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