Md Asafuddoula

17 papers receiving 786 citations

Hit Papers

A Decomposition-Based Evolutionary Algorithm for Many Obj...2014202620182022201450100150200250

Peers

Md Asafuddoula
Comparison fields: 5 of 83
  • Artificial Intelligence 564
  • Computational Theory and Mathematics 555
  • Management Science and Operations Research 149
  • Civil and Structural Engineering 78
  • Control and Systems Engineering 74
Replace Dudy Lim with:
Dudy Lim Singapore
S. Kobayashi Japan
Dan Guo China
Rituparna Datta India
Gregorio Toscano‐Pulido Mexico
Xilu Wang Germany
Cai Dai China
Steven H.-Y. Lai United States
Bas van Stein Netherlands
Alan D. Christiansen United States
Md Asafuddoula relative to Dudy Lim Singapore Dudy Lim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Md Asafuddoula

Since Specialization
Citations

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

Fields of papers citing papers by Md Asafuddoula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md Asafuddoula

This figure shows the co-authorship network connecting the top 25 collaborators of Md Asafuddoula. A scholar is included among the top collaborators of Md Asafuddoula 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 Md Asafuddoula. Md Asafuddoula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 91
2 15
3 38
4 24
5 92
6 7
7 8
8 4
9 0
10 53
11 1
12 40
13
A Decomposition-Based Evolutionary Algorithm for Many Objective Optimizationbreakdown →
298
14 6
15 12
16 3
17 67
18 39

About Md Asafuddoula

Md Asafuddoula is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 18 papers that have together received 798 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (16 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Evolutionary Algorithms and Applications (9 papers). The work is most often cited by research in Computational Theory and Mathematics (555 citations), Artificial Intelligence (564 citations) and Management Science and Operations Research (149 citations). Md Asafuddoula has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include Tapabrata Ray, Ruhul Sarker, Hemant Kumar Singh, Brijesh Verma, Khairul Alam, Mengjie Zhang, Juergen Branke, Jun Zhang and Amitay Isaacs. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation and Applied Mathematics and Computation.

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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