Mohammad Hussein Amiri

710 total citations · 1 hit paper
5 papers, 323 citations indexed

About

Mohammad Hussein Amiri is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Mohammad Hussein Amiri has authored 5 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 1 paper in Computer Networks and Communications. Recurrent topics in Mohammad Hussein Amiri's work include Metaheuristic Optimization Algorithms Research (2 papers), Evolutionary Algorithms and Applications (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Mohammad Hussein Amiri is often cited by papers focused on Metaheuristic Optimization Algorithms Research (2 papers), Evolutionary Algorithms and Applications (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Mohammad Hussein Amiri collaborates with scholars based in Iran, Australia and United States. Mohammad Hussein Amiri's co-authors include Nima Khodadadi, Seyedali Mirjalili, Mohsen Montazeri, Ardashir Mohammadzadeh, Seyedali Mirjalili, Mahdi Pourgholi, Amin Beheshti and Maryam Khanian Najafabadi and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Knowledge-Based Systems.

In The Last Decade

Mohammad Hussein Amiri

5 papers receiving 307 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm

2024 267 citations Mohammad Hussein Amiri, Mohsen Montazeri et al. Scientific Reports profile →

Peers

Mohammad Hussein Amiri

AI

EEE

CSE

CTM

CVPR

M. F. Ahmad Malaysia

Muxuan Han China

Yuanbin Mo China

Dang-Hai Pham Vietnam

Ruo-Bin Wang China

Arfan Ali Nagra Pakistan

Qiongjie Tian United States

Muhammad Ilyas Menhas China

Mohsen Montazeri Iran

Sew Sun Tiang Malaysia

M. F. Ahmad Malaysia

Mohammad Hussein Amiri

155 ×1.3

AI

76 ×1.1

EEE

68 ×1.1

CSE

78 ×1.5

CTM

35 ×0.8

CVPR

Citations per year, relative to Mohammad Hussein Amiri Mohammad Hussein Amiri (= 1×) peers M. F. Ahmad

Countries citing papers authored by Mohammad Hussein Amiri

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Hussein Amiri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Hussein Amiri

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

All Works

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5 of 5 papers shown

1.

Amiri, Mohammad Hussein, et al.. (2025). Q2HO-MFTV: A binary hippopotamus optimization algorithm for feature selection with a brief review of binary optimization. Knowledge-Based Systems. 327. 114119–114119. 1 indexed citations

2.

Amiri, Mohammad Hussein, et al.. (2024). An innovative data-driven AI approach for detecting and isolating faults in gas turbines at power plants. Expert Systems with Applications. 263. 125497–125497. 12 indexed citations

3.

Amiri, Mohammad Hussein, et al.. (2024). Monitoring UAV status and detecting insulator faults in transmission lines with a new classifier based on aggregation votes between neural networks by interval type-2 TSK fuzzy system. Soft Computing. 28(20). 12141–12174. 20 indexed citations

4.

Amiri, Mohammad Hussein, et al.. (2024). Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm. Scientific Reports. 14(1). 5032–5032. 267 indexed citations breakdown →

5.

Amiri, Mohammad Hussein, et al.. (2024). Novel hybrid classifier based on fuzzy type-III decision maker and ensemble deep learning model and improved chaos game optimization. Cluster Computing. 27(7). 10197–10234. 23 indexed citations

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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