Hussein Abulkasim

680 citations
28 papers · 408 · h-index 12

Impact in

Papers in

Hussein Abulkasim

27 papers receiving 387 citations

Peers

Hussein Abulkasim
Comparison fields: 5 of 60
  • Artificial Intelligence 213
  • Computer Networks and Communications 113
  • Information Systems 97
  • Atomic and Molecular Physics, and Optics 119
  • Aerospace Engineering 53
Replace Carlos Natalino with:
Carlos Natalino Sweden
Sabidur Rahman United States
Fuyou Miao China
Logan O. Mailloux United States
Yiming Zeng United States
Gongming Zhao China
Slaviša Aleksić Austria
Maurice Gagnaire France
Yu Yu China
Changjia Chen China
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Citations per field
00.5×4.8×
Carlos Natalino · 1×
Citations per year

Countries citing papers authored by Hussein Abulkasim

Since Specialization
Citations

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

Fields of papers citing papers by Hussein Abulkasim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Hussein Abulkasim, 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 Hussein Abulkasim Line = papers co-authored together Hussein Abulkasim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202349
2 202247
3 202337
4 201637
5 201930
6 201927
7 201723
8 201822
9 202320
10 202117
11 202214
12 202412
13 201811
14 202410
15 202010
16 20226
17 20216
18 20245
19 20195
20 20244

About Hussein Abulkasim

Hussein Abulkasim is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 408 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (15 papers), Quantum Information and Cryptography (13 papers), Quantum Mechanics and Applications (12 papers), Blockchain Technology Applications and Security (4 papers), IoT and Edge/Fog Computing (3 papers), Advanced Steganography and Watermarking Techniques (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). The work is most often cited by research in Artificial Intelligence (213 citations), Computer Networks and Communications (113 citations), Information Systems (97 citations), Atomic and Molecular Physics, and Optics (119 citations) and Aerospace Engineering (53 citations). Hussein Abulkasim has collaborated with scholars based in Egypt, Saudi Arabia and United States. Frequent co-authors include Ahmed Farouk, Safwat Hamad, Shohini Ghose, Houbing Song, Atefeh Mashatan, Muhammad Adil, Ahmed Elhadad, Zhanpeng Jin, Safia Abbas and Mian Ahmad Jan. Their work appears in journals such as IEEE Internet of Things Journal, Computers, materials & continua/Computers, materials & continua (Print), Scientific Reports, IEEE Transactions on Intelligent Transportation Systems and Quantum Information Processing.

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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