Ali Maroosi

1.1k citations
35 papers · 786 · h-index 12

Impact in

Papers in

Ali Maroosi

33 papers receiving 720 citations

Peers

Ali Maroosi
Comparison fields: 5 of 84
  • Artificial Intelligence 379
  • Renewable Energy, Sustainability and the Environment 164
  • Industrial and Manufacturing Engineering 68
  • Computer Networks and Communications 115
  • Computational Theory and Mathematics 64
Replace Baoqun Yin with:
Baoqun Yin China
Hongwei Dai China
Jianji Ren China
Hamdan Daniyal Malaysia
El‐Bay Bourennane France
Qingjiao Cao China
Hernán Aguirre Japan
Maximilian Ernestus Germany
Yifan Zhang China
Wei‐Yu Chiu Taiwan
Ali Maroosi relative to Baoqun Yin China Baoqun Yin's profile →
Citations per field
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Baoqun Yin · 1×
Citations per year

Countries citing papers authored by Ali Maroosi

Since Specialization
Citations

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

Fields of papers citing papers by Ali Maroosi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Ali Maroosi, 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 Ali Maroosi Line = papers co-authored together Ali Maroosi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018214
2 2007190
3 200993
4 202134
5 200833
6 201628
7 202026
8 200824
9 201020
10 201419
11 201113
12 201412
13 201710
14 20139
15 20078
16 20217
17 20176
18 20156
19 20165
20 20145

About Ali Maroosi

Ali Maroosi is a scholar working on Computer Networks and Communications, Molecular Biology, Mechanical Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 35 papers that have together received 786 indexed citations. Recurring topics across this work include DNA and Biological Computing (11 papers), Modular Robots and Swarm Intelligence (9 papers), Advanced biosensing and bioanalysis techniques (8 papers), Metaheuristic Optimization Algorithms Research (5 papers), Advanced Clustering Algorithms Research (4 papers), Advanced Electrical Measurement Techniques (3 papers), Advanced Wireless Communication Techniques (3 papers) and Wireless Communication Networks Research (2 papers). The work is most often cited by research in Artificial Intelligence (379 citations), Renewable Energy, Sustainability and the Environment (164 citations), Industrial and Manufacturing Engineering (68 citations), Computer Networks and Communications (115 citations) and Computational Theory and Mathematics (64 citations). Ali Maroosi has collaborated with scholars based in Iran, Malaysia and United States. Frequent co-authors include Babak Amiri, Mohammad Fathian, Ravie Chandren Muniyandi, Elankovan Sundararajan, Abdullah Mohd Zın, Mohammad Kamrul Hasan, S.H. Seyedein, M.R. Aboutalebi, Mohammad Hemmati and Zulaiha Ali Othman. Their work appears in journals such as Simulation Modelling Practice and Theory, IEEE Sensors Journal, Applied Mathematics and Computation, Physical Communication and The International Journal of Advanced Manufacturing Technology.

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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