Mahda Noura

1.0k total citations · 1 hit paper
10 papers, 625 citations indexed

About

Mahda Noura is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Mahda Noura has authored 10 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 4 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in Mahda Noura's work include IoT and Edge/Fog Computing (5 papers), Context-Aware Activity Recognition Systems (3 papers) and Service-Oriented Architecture and Web Services (2 papers). Mahda Noura is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), Context-Aware Activity Recognition Systems (3 papers) and Service-Oriented Architecture and Web Services (2 papers). Mahda Noura collaborates with scholars based in Germany, United States and Malaysia. Mahda Noura's co-authors include Martin Gaedke, Mohammed Atiquzzaman, Rosdiadee Nordin, Sebastian Heil, Amélie Gyrard, R Gowtham, Azizol Abdullah and Ramlan Mahmod and has published in prestigious journals such as IEEE Internet of Things Journal, Journal of Network and Computer Applications and Mobile Networks and Applications.

In The Last Decade

Mahda Noura

9 papers receiving 591 citations

Hit Papers

Interoperability in Internet of Things: Taxonomies and Op... 2018 2026 2020 2023 2018 100 200 300 400

Peers

Mahda Noura
Comparison fields: 5 of 75
  • Computer Networks and Communications 395
  • Electrical and Electronic Engineering 191
  • Information Systems 182
  • Computer Vision and Pattern Recognition 103
  • Artificial Intelligence 90
Replace Son N. Han with:
Son N. Han France
Karel Wouters Belgium
Oladayo Bello United States
Kostas Kalaboukas Greece
Hind Bangui Czechia
Sumarga Kumar Sah Tyagi China
Flavio Cirillo Spain
Panagiotis Vlacheas Greece
Diogo Gomes Portugal
Alfredo D’Elia Italy
Son N. Han France View profile →
Citations per field, relative to Mahda Noura
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Citations per year, relative to Mahda Noura
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Countries citing papers authored by Mahda Noura

Since Specialization
Citations

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

Fields of papers citing papers by Mahda Noura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahda Noura

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 13
2 2
3 12
4 38
5 6
6 5
7
Interoperability in Internet of Things: Taxonomies and Open Challenges breakdown →
413
8
Concept Extraction from the Web of Things Knowledge Bases
7
9 129
10 0

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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