Alireza Moayedikia

570 total citations
17 papers, 428 citations indexed

About

Alireza Moayedikia is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Alireza Moayedikia has authored 17 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Science Applications, 6 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Alireza Moayedikia's work include Mobile Crowdsensing and Crowdsourcing (7 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Auction Theory and Applications (3 papers). Alireza Moayedikia is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (7 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Auction Theory and Applications (3 papers). Alireza Moayedikia collaborates with scholars based in Australia, Iran and United Kingdom. Alireza Moayedikia's co-authors include William Yeoh, Richard Jensen, Yee Ling Boo, Kok‐Leong Ong, Rana Forsati, Mehrnoush Shamsfard, ‬Hadi Ghaderi, Mohammad Reza Meybodi, Pei‐Wei Tsai and Lele Zhang and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Applied Soft Computing.

In The Last Decade

Alireza Moayedikia

16 papers receiving 415 citations

Peers

Alireza Moayedikia
Comparison fields: 5 of 81
  • Artificial Intelligence 220
  • Computer Vision and Pattern Recognition 86
  • Computer Science Applications 76
  • Information Systems 70
  • Management Science and Operations Research 42
Replace Norita Md Norwawi with:
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Citations per field, relative to Alireza Moayedikia
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Citations per year, relative to Alireza Moayedikia
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Countries citing papers authored by Alireza Moayedikia

Since Specialization
Citations

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

Fields of papers citing papers by Alireza Moayedikia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alireza Moayedikia

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2 1
3 0
4 40
5 20
6 13
7 21
8 17
9 22
10 15
11 6
12 120
13 16
14 30
15 52
16 33
17 21

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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2026