Mohammad Sadegh Aslanpour

17 papers receiving 1.0k citations

Hit Papers

Transformative effects of IoT, Blockchain and Artificial ...20192026202120232019202150100150200250

Peers

Mohammad Sadegh Aslanpour
Comparison fields: 5 of 77
  • Computer Networks and Communications 767
  • Information Systems 680
  • Artificial Intelligence 163
  • Electrical and Electronic Engineering 142
  • Computer Vision and Pattern Recognition 106
Replace Low Tang Jung with:
Low Tang Jung Malaysia
Ranesh Kumar Naha Australia
Koustabh Dolui Belgium
Chunlin Li China
Stefan Nastić Austria
Wenmin Lin China
Badis Hammi France
Isaac Lera Spain
Gamal Attiya Egypt
Peter Garraghan United Kingdom
Mohammad Sadegh Aslanpour relative to Low Tang Jung Malaysia Low Tang Jung's profile →
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Countries citing papers authored by Mohammad Sadegh Aslanpour

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Sadegh Aslanpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Sadegh Aslanpour. 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 Mohammad Sadegh Aslanpour. The network helps show where Mohammad Sadegh Aslanpour may publish in the future.

Co-authorship network of co-authors of Mohammad Sadegh Aslanpour

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 4
2 4
3 0
4 17
5 10
6 35
7 125
8 17
9
Serverless Edge Computing: Vision and Challengesbreakdown →
133
10 8
11 168
12 15
13
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challengesbreakdown →
284
14 61
15 17
16 75
17 74
18 13

About Mohammad Sadegh Aslanpour

Mohammad Sadegh Aslanpour is a scholar working on Computer Networks and Communications, Information Systems and Health Information Management, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (17 papers), IoT and Edge/Fog Computing (15 papers) and Blockchain Technology Applications and Security (5 papers). The work is most often cited by research in Computer Networks and Communications (767 citations), Information Systems (680 citations) and Computer Vision and Pattern Recognition (106 citations). Mohammad Sadegh Aslanpour has collaborated with scholars based in Australia, Iran and United Kingdom. Frequent co-authors include Adel N. Toosi, Sukhpal Singh Gill, Mostafa Ghobaei‐Arani, Seyed Ebrahim Dashti, Ali Rahmanian, Raj Gaire, Minxian Xu, Schahram Dustdar, Muhammad Aamir Cheema and Sanjay Misra. Their work appears in journals such as Future Generation Computer Systems, Journal of Network and Computer Applications and Soft Computing.

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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