Mahdi Dibaei

510 citations
10 papers · 320 indexed · h-index 6
Topics
Software Engineering Research (3 papers)Advanced Software Engineering Methodologies (3 papers)IoT and Edge/Fog Computing (2 papers)
Journals
SHILAP Revista de lepidopterologíaSensorsAustralasian Journal of Paramedicine
Partner nations
AustraliaIranChina

In The Last Decade

Mahdi Dibaei

8 papers receiving 307 citations

Peers

Mahdi Dibaei
Comparison fields: 5 of 56
  • Electrical and Electronic Engineering 155
  • Computer Networks and Communications 137
  • Information Systems 119
  • Signal Processing 80
  • Artificial Intelligence 72
Replace M. Omar Al-Kadri with:
M. Omar Al-Kadri United Kingdom
Hiroyuki Inoue Japan
Bonthala Prabhanjan Yadav India
Eugen Brenner Austria
Tuan Vuong United Kingdom
Benjamin Weyl Germany
Rens W. van der Heijden Germany
Mehmet Bozdal United Kingdom
Lin Shen Liew Singapore
Mahdi Dibaei relative to M. Omar Al-Kadri United Kingdom M. Omar Al-Kadri's profile →
Citations per field
00.5×1.5×
M. Omar Al-Kadri · 1×
Citations per year

Countries citing papers authored by Mahdi Dibaei

Since Specialization
Citations

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

Fields of papers citing papers by Mahdi Dibaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahdi Dibaei

This figure shows the co-authorship network connecting the top 25 collaborators of Mahdi Dibaei. A scholar is included among the top collaborators of Mahdi Dibaei 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 Mahdi Dibaei. Mahdi Dibaei 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
#WorkIndexed citations
1 0
2 0
3 2
4 89
5 10
6 8
7 139
8 31
9 36
10
TSIS: A Trust-Based Scheme for Increasing Security in Wireless Sensor Networks
5

About Mahdi Dibaei

Mahdi Dibaei is a scholar working on Software, Information Systems and Signal Processing, having authored 10 papers that have together received 320 indexed citations. Recurring topics across this work include Software Engineering Research (3 papers), Advanced Software Engineering Methodologies (3 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Signal Processing (80 citations), Computer Networks and Communications (137 citations) and Information Systems (119 citations). Mahdi Dibaei has collaborated with scholars based in Australia, Iran and China. Frequent co-authors include Xi Zheng, Yang Xiang, Ali Ghaffari, Hassan Abbas, Shigang Liu, Yuexin Zhang, Shui Yu, Kun Jiang, Alireza Jolfaei and Usman Tariq. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Australasian Journal of Paramedicine.

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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