Shavan Askar

1.4k citations
101 papers · 840 · 1 hit paper · h-index 17

Impact in

Papers in

Shavan Askar

84 papers receiving 806 citations

Shavan Askar's Hit Papers

AI-driven multi-omics integration in precision oncology: bridging the data deluge to clinical decisions 2025 · 20 citations
200Years since publication5101520

Peers

Shavan Askar
Comparison fields: 5 of 105
  • Computer Networks and Communications 360
  • Information Systems 155
  • Signal Processing 43
  • Artificial Intelligence 113
  • Computer Vision and Pattern Recognition 68
Replace Haydar Abdulameer Marhoon with:
Haydar Abdulameer Marhoon Iraq
Bhasker Pant India
Pradeep K. Sinha India
Kamal Gulati India
A. Suresh India
Dalia H. Elkamchouchi Saudi Arabia
R. Maheswar India
Teodor Iliev Bulgaria
Tao Feng China
Shavan Askar relative to Haydar Abdulameer Marhoon Iraq Haydar Abdulameer Marhoon's profile →
Citations per field
00.5×6.5×
Haydar Abdulameer Marhoon · 1×
Citations per year

Countries citing papers authored by Shavan Askar

Since Specialization
Citations

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

Fields of papers citing papers by Shavan Askar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shavan Askar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shavan Askar Line = papers co-authored together Shavan Askar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201580
2 202352
3 202244
4 202143
5 202130
6 202329
7 202329
8 202329
9 202327
10 202123
11 202322
12 202422
13 202321
14 201620
15 202320
16
AI-driven multi-omics integration in precision oncology: bridging the data deluge to clinical decisions
Hit paper breakdown →
202520
17 201618
18 202116
19 202315
20 202215

About Shavan Askar

Shavan Askar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Mechanical Engineering and Artificial Intelligence, having authored 101 papers that have together received 840 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (27 papers), Network Security and Intrusion Detection (11 papers), Software-Defined Networks and 5G (9 papers), Blockchain Technology Applications and Security (7 papers), Advanced Optical Network Technologies (7 papers), Cloud Computing and Resource Management (6 papers), Internet of Things and AI (6 papers) and IoT-based Smart Home Systems (6 papers). The work is most often cited by research in Computer Networks and Communications (360 citations), Information Systems (155 citations), Signal Processing (43 citations), Artificial Intelligence (113 citations) and Computer Vision and Pattern Recognition (68 citations). Shavan Askar has collaborated with scholars based in Iraq, India and Saudi Arabia. Frequent co-authors include Shahab Wahhab Kareem, Subhi R. M. Zeebaree, Kayhan Zrar Ghafoor, Ahmed Alawadi, Adnan Mohsin Abdulazeez, Arif Sarı, Iskandar Muda, Natalia Prodanova, Tarik A. Rashid and Ebraheem Abdu Musad Saleh. Their work appears in journals such as IEEE Access, Applied Physics A, Nondestructive Testing And Evaluation, Microchemical Journal and Applied Sciences.

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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