Ismail Ali

564 citations
27 papers · 377 · h-index 9

Impact in

Papers in

Ismail Ali

25 papers receiving 363 citations

Peers

Ismail Ali
Comparison fields: 5 of 69
  • Industrial and Manufacturing Engineering 100
  • Modeling and Simulation 30
  • Computational Theory and Mathematics 72
  • Artificial Intelligence 136
  • Computer Networks and Communications 96
Replace Farid Nouioua with:
Farid Nouioua France
Luigi Rarità Italy
Rosanna Manzo Italy
Stefano Gualandi Italy
Hiroshi Fujiwara Japan
Bruno Costa Brazil
Jiguan Gene Lin United States
D. T. Phillips United States
Andrew Eberhard Australia
Spyridon D. Mourtas Greece
Ismail Ali relative to Farid Nouioua France Farid Nouioua's profile →
Citations per field
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Farid Nouioua · 1×
Citations per year

Countries citing papers authored by Ismail Ali

Since Specialization
Citations

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

Fields of papers citing papers by Ismail Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Ismail Ali, 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 Ismail Ali Line = papers co-authored together Ismail Ali links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202082
2 201976
3 202060
4 201933
5 200221
6 201816
7 199916
8 200115
9 202213
10 19966
11 20225
12 20195
13 20155
14 20004
15 20233
16 20203
17 20242
18 20162
19 19992
20 19962

About Ismail Ali

Ismail Ali is a scholar working on Applied Mathematics, Industrial and Manufacturing Engineering, Artificial Intelligence, Computational Theory and Mathematics and Management of Technology and Innovation, having authored 27 papers that have together received 377 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Mathematical functions and polynomials (4 papers), Vehicle Routing Optimization Methods (3 papers), Evolutionary Algorithms and Applications (3 papers), Product Development and Customization (3 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers) and Numerical methods in inverse problems (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (100 citations), Modeling and Simulation (30 citations), Computational Theory and Mathematics (72 citations), Artificial Intelligence (136 citations) and Computer Networks and Communications (96 citations). Ismail Ali has collaborated with scholars based in Australia, Kuwait and Ukraine. Frequent co-authors include Kathryn Kasmarik, Daryl Essam, S. L. Kalla, Michael J. Ryan, Kim‐Kwang Raymond Choo, Nour Moustafa, Karam M. Sallam, Virginia Kiryakova, Sondoss Elsawah and Hasan Hüseyin Turan. Their work appears in journals such as Swarm and Evolutionary Computation, Applied Soft Computing, Applied Mathematics and Computation, Information Sciences and Mathematical and Computer Modelling.

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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