Hussein A. Abbass

10.7k citations
298 papers · 6.5k · 1 hit paper · h-index 39

Impact in

Papers in

Hussein A. Abbass

287 papers receiving 6.2k citations

Hussein A. Abbass's Hit Papers

2012 IEEE Congress on Evolutionary Computation 2012 · 309 citations
3090+4+9Years since publication100200300

Peers

Hussein A. Abbass
Comparison fields: 5 of 170
  • Computational Theory and Mathematics 1.6k
  • Artificial Intelligence 3.1k
  • Industrial and Manufacturing Engineering 453
  • Management Science and Operations Research 471
  • Computer Vision and Pattern Recognition 616
Replace Mohammed Azmi Al‐Betar with:
Mohammed Azmi Al‐Betar Jordan
Amit Konar India
Jinghong Li Japan
Doina Precup Canada
Christopher J. Watkins United Kingdom
Václav Snåšel Czechia
Marc Peter Deisenroth United Kingdom
Kenneth De Jong United States
A. E. Eiben Netherlands
Chris Watkins United Kingdom
Hussein A. Abbass relative to Mohammed Azmi Al‐Betar Jordan Mohammed Azmi Al‐Betar's profile →
Citations per field
00.5×2.7×
Mohammed Azmi Al‐Betar · 1×
Citations per year

Countries citing papers authored by Hussein A. Abbass

Since Specialization
Citations

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

Fields of papers citing papers by Hussein A. Abbass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hussein A. Abbass, 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 A. Abbass Line = papers co-authored together Hussein A. Abbass links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 298 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002397
2 2003311
3
2012 IEEE Congress on Evolutionary Computation
Hit paper breakdown →
2012309
4 2002281
5 2002271
6 2018149
7 2019133
8 2019116
9 2002113
10 2019111
11 2003102
12 200596
13 201593
14 202292
15 200288
16 202080
17 200475
18
MARRIAGE IN HONEY-BEE OPTIMIZATION (MBO): A HAPLOMETROSIS POLYGYNOUS SWARMING APPROACH
200173
19 201670
20 200768

About Hussein A. Abbass

Hussein A. Abbass is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Aerospace Engineering, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 298 papers that have together received 6.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (65 papers), Evolutionary Algorithms and Applications (63 papers), Advanced Multi-Objective Optimization Algorithms (41 papers), Evolutionary Game Theory and Cooperation (23 papers), Air Traffic Management and Optimization (22 papers), Human-Automation Interaction and Safety (20 papers), EEG and Brain-Computer Interfaces (18 papers) and Reinforcement Learning in Robotics (17 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Artificial Intelligence (3.1k citations), Industrial and Manufacturing Engineering (453 citations), Management Science and Operations Research (471 citations) and Computer Vision and Pattern Recognition (616 citations). Hussein A. Abbass has collaborated with scholars based in Australia, China and Singapore. Frequent co-authors include Ruhul Sarker, Charles Newton, Daryl Essam, Lam Thu Bui, Kay Chen Tan, Sameer Alam, Michael Barlow, Matthew Garratt, Sreenatha G. Anavatti and Kamran Shafi. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Computational Intelligence Magazine, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access and Transportation Research Part C Emerging Technologies.

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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