Imran Makhdoom

2.1k citations
24 papers · 1.3k indexed · 3 hit papers · h-index 12
Topics
Blockchain Technology Applications and Security (12 papers)IoT and Edge/Fog Computing (10 papers)Network Security and Intrusion Detection (7 papers)

In The Last Decade

Imran Makhdoom

23 papers receiving 1.2k citations

Hit Papers

Blockchain's adoption in IoT: The challenges, and a way f...2018202620202023201820182019100200300

Peers

Imran Makhdoom
Comparison fields: 5 of 103
  • Information Systems 749
  • Computer Networks and Communications 617
  • Artificial Intelligence 366
  • Signal Processing 226
  • Electrical and Electronic Engineering 149
Replace Ricardo Neisse with:
Ricardo Neisse Italy
Muhammad Ajmal Azad United Kingdom
Hany F. Atlam United Kingdom
Shingo Yamaguchi Japan
Faiz Abdullah Alotaibi Saudi Arabia
Ahmed Serhrouchni France
Badis Hammi France
Minhaj Ahmad Khan Pakistan
Eyhab Al‐Masri United States
Giovanni Russello New Zealand
Imran Makhdoom relative to Ricardo Neisse Italy Ricardo Neisse's profile →
Citations per field
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Ricardo Neisse · 1×
Citations per year

Countries citing papers authored by Imran Makhdoom

Since Specialization
Citations

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

Fields of papers citing papers by Imran Makhdoom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imran Makhdoom

This figure shows the co-authorship network connecting the top 25 collaborators of Imran Makhdoom. A scholar is included among the top collaborators of Imran Makhdoom 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 Imran Makhdoom. Imran Makhdoom 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 2
2 4
3 2
4 0
5 22
6 11
7 26
8 9
9 92
10 9
11 2
12 169
13 11
14 7
15
PrivySharing: A blockchain-based framework for privacy-preserving and secure data sharing in smart citiesbreakdown →
216
16 9
17 16
18 16
19
Anatomy of Threats to the Internet of Thingsbreakdown →
248
20 6

About Imran Makhdoom

Imran Makhdoom is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (12 papers), IoT and Edge/Fog Computing (10 papers) and Network Security and Intrusion Detection (7 papers). The work is most often cited by research in Information Systems (749 citations), Computer Networks and Communications (617 citations) and Signal Processing (226 citations). Imran Makhdoom has collaborated with scholars based in Australia, Pakistan and United States. Frequent co-authors include Mehran Abolhasan, Wei Ni, Justin Lipman, Haider Abbas, Ian Zhou, Ren Ping Liu, Khawar Mehmood, Muhammad Kamran Malik, Negin Shariati and Muhammad Ahmad Raza. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Journal of Network and Computer Applications.

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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