Waseem Iqbal

2.0k citations
83 papers · 1.2k indexed · 1 hit paper · h-index 16
Topics
Advanced Malware Detection Techniques (21 papers)IoT and Edge/Fog Computing (19 papers)Blockchain Technology Applications and Security (14 papers)
Partner nations
PakistanSaudi ArabiaOman

In The Last Decade

Waseem Iqbal

76 papers receiving 1.2k citations

Hit Papers

An In-Depth Analysis of IoT Security Requirements, Challe...2020202620222024202050100150200

Peers

Waseem Iqbal
Comparison fields: 5 of 94
  • Computer Networks and Communications 578
  • Information Systems 519
  • Artificial Intelligence 357
  • Signal Processing 250
  • Computer Vision and Pattern Recognition 146
Replace Wajdi Alhakami with:
Wajdi Alhakami Saudi Arabia
Akashdeep Bhardwaj India
Bhabendu Kumar Mohanta India
Tariq Ahamed Ahanger Saudi Arabia
Jairo Gutiérrez New Zealand
Mohammad Ali Jabraeil Jamali Iran
Evangelos Markakis Greece
Spiridon Bakiras Qatar
Yousef Farhaoui Morocco
Rahmat Budiarto Malaysia
Waseem Iqbal relative to Wajdi Alhakami Saudi Arabia Wajdi Alhakami's profile →
Citations per field
00.5×10.3×
Wajdi Alhakami · 1×
Citations per year

Countries citing papers authored by Waseem Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by Waseem Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waseem Iqbal

This figure shows the co-authorship network connecting the top 25 collaborators of Waseem Iqbal. A scholar is included among the top collaborators of Waseem Iqbal 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 Waseem Iqbal. Waseem Iqbal 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 5
2 1
3 0
4 0
5 5
6 16
7 1
8 1
9 7
10 1
11 1
12 22
13 51
14 5
15 27
16
An In-Depth Analysis of IoT Security Requirements, Challenges, and Their Countermeasures via Software-Defined Securitybreakdown →
223
17 59
18 149
19 6
20 3

About Waseem Iqbal

Waseem Iqbal is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 83 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (21 papers), IoT and Edge/Fog Computing (19 papers) and Blockchain Technology Applications and Security (14 papers). The work is most often cited by research in Computer Networks and Communications (578 citations), Signal Processing (250 citations) and Information Systems (519 citations). Waseem Iqbal has collaborated with scholars based in Pakistan, Saudi Arabia and Oman. Frequent co-authors include Haider Abbas, Yawar Abbas Bangash, Bilal Rauf, Imran Rashid, Mahmoud Daneshmand, Hammad Afzal, Mehreen Afzal, Kashif Saleem, Mujahid Mohsin and Rabia Latif. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Sensors.

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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