Amin Mansoori

1.0k total citations
57 papers, 702 citations indexed

About

Amin Mansoori is a scholar working on Artificial Intelligence, Epidemiology and Control and Systems Engineering. According to data from OpenAlex, Amin Mansoori has authored 57 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Epidemiology and 9 papers in Control and Systems Engineering. Recurrent topics in Amin Mansoori's work include Neural Networks and Applications (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Optimization and Variational Analysis (6 papers). Amin Mansoori is often cited by papers focused on Neural Networks and Applications (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Optimization and Variational Analysis (6 papers). Amin Mansoori collaborates with scholars based in Iran, United Kingdom and United States. Amin Mansoori's co-authors include Sohrab Effati, Majid Erfanian, Habibollah Esmaily, Majid Ghayour‐Mobarhan, Gordon A. Ferns, Majid Mohammadi, Zeinab Hosseini, Mohadeseh Poudineh, Maryam Saberi‐Karimian and Toba Kazemi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Cybernetics.

In The Last Decade

Amin Mansoori

49 papers receiving 684 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amin Mansoori Iran 17 202 147 107 84 76 57 702
Divya Jain India 15 280 1.4× 125 0.9× 44 0.4× 16 0.2× 41 0.5× 35 758
Jacek M. Zurada United States 12 564 2.8× 62 0.4× 79 0.7× 32 0.4× 3 0.0× 37 1.0k
Saurabh Mukhopadhyay United States 17 561 2.8× 442 3.0× 93 0.9× 18 0.2× 4 0.1× 49 1.4k
Elia El‐Darzi United Kingdom 13 154 0.8× 122 0.8× 41 0.4× 30 0.4× 10 0.1× 37 690
Jun Liao China 18 356 1.8× 81 0.6× 259 2.4× 67 0.8× 2 0.0× 41 1.2k
Yan Zeng China 15 38 0.2× 80 0.5× 100 0.9× 48 0.6× 7 0.1× 47 581
Shuisheng Zhou China 12 181 0.9× 59 0.4× 18 0.2× 28 0.3× 12 0.2× 69 520
Mohammad Jamshidi United States 16 124 0.6× 771 5.2× 145 1.4× 13 0.2× 109 1.4× 53 1.2k
Ali Jalali United States 16 361 1.8× 20 0.1× 32 0.3× 82 1.0× 14 0.2× 55 943
Shih-Hsin Chen Taiwan 15 194 1.0× 77 0.5× 59 0.6× 18 0.2× 3 0.0× 44 747

Countries citing papers authored by Amin Mansoori

Since Specialization
Citations

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

Fields of papers citing papers by Amin Mansoori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amin Mansoori

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

All Works

20 of 20 papers shown
1.
Mansoori, Amin, et al.. (2025). Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes. Journal of Health Population and Nutrition. 44(1). 31–31.
2.
Tanzadehpanah, Hamid, et al.. (2025). Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches. BMC Medical Informatics and Decision Making. 25(1). 49–49. 3 indexed citations
3.
Mansoori, Amin, et al.. (2024). A novel index for diagnosis of type 2 diabetes mellitus: Cholesterol, High density lipoprotein, and Glucose (CHG) index. Journal of Diabetes Investigation. 16(2). 309–314. 21 indexed citations
4.
Pooya, Alireza & Amin Mansoori. (2024). Neural network for solving disturbance optimal control model for production inventory system with stochastic deterioration in two-level supply chain. Soft Computing. 28(19). 11377–11392. 2 indexed citations
5.
Mansoori, Amin, et al.. (2024). Blood indices of inflammation and their association with hypertension in smokers: analysis using data mining approaches. Journal of Human Hypertension. 39(1). 29–37.
6.
Mansoori, Amin, et al.. (2024). Predicting high sensitivity C-reactive protein levels and their associations in a large population using decision tree and linear regression. Scientific Reports. 14(1). 30298–30298. 4 indexed citations
7.
Mansoori, Amin, et al.. (2024). Evaluating the Association of Anthropometric Indices With Total Cholesterol in a Large Population Using Data Mining Algorithms. Journal of Clinical Laboratory Analysis. 38(17-18). e25095–e25095. 1 indexed citations
8.
Darroudi, Susan, Amin Mansoori, Reza Rezvani, et al.. (2024). Multivariate Linear Regression to Predict Association of Non-Invasive Arterial Stiffness with Cardiovascular Events. ESC Heart Failure. 12(2). 1141–1150.
9.
Mansoori, Amin, et al.. (2023). The relationship between anthropometric indices and the presence of hypertension in an Iranian population sample using data mining algorithms. Journal of Human Hypertension. 38(3). 277–285. 4 indexed citations
10.
Mansoori, Amin, Hamideh Ghazizadeh, Gordon A. Ferns, et al.. (2023). Association between biochemical and hematologic factors with COVID-19 using data mining methods. BMC Infectious Diseases. 23(1). 897–897.
11.
Liao, Xiaofeng, et al.. (2023). A subgradient-based neurodynamic algorithm to constrained nonsmooth nonconvex interval-valued optimization. Neural Networks. 160. 259–273. 7 indexed citations
12.
Liao, Xiaofeng, et al.. (2023). A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles. Neural Networks. 161. 693–707. 3 indexed citations
13.
14.
Sahebi, Reza, et al.. (2022). A Summary of Autophagy Mechanisms in Cancer Cells. 1(1). 28–35. 7 indexed citations
15.
Saberi‐Karimian, Maryam, Toba Kazemi, Amin Mansoori, et al.. (2021). A pilot study of the effects of crocin on high‐density lipoprotein cholesterol uptake capacity in patients with metabolic syndrome: A randomized clinical trial. BioFactors. 47(6). 1032–1041. 26 indexed citations
16.
Fard, Omid Solaymani, et al.. (2021). (2008-6132) A novel fuzzy sliding mode control approach for chaotic systems. Iranian journal of fuzzy systems. 1 indexed citations
17.
Samadi, Sara, Amirhossein Sahebkar, Ebrahim Miri‐Moghaddam, et al.. (2021). Serum HDL cholesterol uptake capacity in subjects from the MASHAD cohort study: Its value in determining the risk of cardiovascular endpoints. Journal of Clinical Laboratory Analysis. 35(6). e23770–e23770. 23 indexed citations
18.
Fard, Omid Solaymani, et al.. (2021). A novel fuzzy sliding mode control approach for chaotic systems. Iranian journal of fuzzy systems. 18(6). 133–150.
19.
Mansoori, Amin, et al.. (2020). An efficient algorithm to improve the accuracy and reduce the computations of LS-SVM. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Erfanian, Majid & Amin Mansoori. (2019). Rationalized Haar wavelet bases to approximate the solution of the first Painlev'e equations. 7(1). 107–116. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Divya Jain Breakdown of academic impact, for papers by Jacek M. Zurada Breakdown of academic impact, for papers by Saurabh Mukhopadhyay Breakdown of academic impact, for papers by Elia El‐Darzi Breakdown of academic impact, for papers by Jun Liao Breakdown of academic impact, for papers by Yan Zeng Breakdown of academic impact, for papers by Shuisheng Zhou Breakdown of academic impact, for papers by Mohammad Jamshidi Breakdown of academic impact, for papers by Ali Jalali Breakdown of academic impact, for papers by Shih-Hsin Chen
Rankless by CCL
2026