Armin Masoumian

431 total citations
8 papers, 259 citations indexed

About

Armin Masoumian is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Armin Masoumian has authored 8 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Control and Systems Engineering, 3 papers in Mechanical Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Armin Masoumian's work include Advanced Vision and Imaging (2 papers), Fault Detection and Control Systems (2 papers) and Mineral Processing and Grinding (2 papers). Armin Masoumian is often cited by papers focused on Advanced Vision and Imaging (2 papers), Fault Detection and Control Systems (2 papers) and Mineral Processing and Grinding (2 papers). Armin Masoumian collaborates with scholars based in Spain, Iran and United States. Armin Masoumian's co-authors include Hatem A. Rashwan, Domènec Puig, M. Salman Asif, Danial Javaheri, Mohsen Ahmadi, Saeid Jafarzadeh Ghoushchi, Yaghoub Pourasad, Meisam Babanezhad, Ali Taghvaie Nakhjiri and Saeed Shirazian and has published in prestigious journals such as Scientific Reports, Sensors and Water Science & Technology.

In The Last Decade

Armin Masoumian

8 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Armin Masoumian Spain	7	84	64	41	40	23	8	259
V. Pattabiraman India	7	105 1.3×	86 1.3×	26 0.6×	23 0.6×	8 0.3×	32	341
Mohamed R. Torkomany Egypt	4	40 0.5×	67 1.0×	9 0.2×	45 1.1×	27 1.2×	7	260
Sheping Zhai China	5	144 1.7×	48 0.8×	22 0.5×	27 0.7×	10 0.4×	15	281
Wenhuan Wu China	8	126 1.5×	57 0.9×	23 0.6×	79 2.0×	24 1.0×	24	306
Chaodong Fan China	11	88 1.0×	93 1.5×	23 0.6×	146 3.6×	49 2.1×	29	350
Isha Kansal India	11	102 1.2×	78 1.2×	43 1.0×	81 2.0×	8 0.3×	39	309
Shuting He China	14	313 3.7×	104 1.6×	30 0.7×	31 0.8×	23 1.0×	39	509
Rui Zhu China	15	286 3.4×	107 1.7×	138 3.4×	29 0.7×	13 0.6×	53	540
P. Karthikeyan India	7	38 0.5×	57 0.9×	13 0.3×	103 2.6×	25 1.1×	28	280
Chenxu Dai China	11	104 1.2×	64 1.0×	41 1.0×	11 0.3×	23 1.0×	28	297

Countries citing papers authored by Armin Masoumian

Since Specialization

Citations

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

Fields of papers citing papers by Armin Masoumian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armin Masoumian

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

All Works

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8 of 8 papers shown

Kazemi, Pezhman, Armin Masoumian, & Philip A. Martin. (2024). Fault Detection and Isolation for Time-Varying Processes Using Neural-Based Principal Component Analysis. Processes. 12(6). 1218–1218. 4 indexed citations

Masoumian, Armin, et al.. (2022). PSOWNNs-CNN: A Computational Radiology for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning Methods. Computational Intelligence and Neuroscience. 2022. 1–17. 33 indexed citations

Rashwan, Hatem A., et al.. (2022). Monocular depth map estimation based on a multi-scale deep architecture and curvilinear saliency feature boosting. Neural Computing and Applications. 34(19). 16423–16440. 8 indexed citations

Masoumian, Armin, et al.. (2022). Monocular Depth Estimation Using Deep Learning: A Review. Sensors. 22(14). 5353–5353. 83 indexed citations

Ahmadi, Mohsen, et al.. (2021). DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering. Journal of King Saud University - Computer and Information Sciences. 34(9). 7445–7458. 56 indexed citations

Babanezhad, Meisam, Armin Masoumian, Ali Taghvaie Nakhjiri, Azam Marjani, & Saeed Shirazian. (2020). Influence of number of membership functions on prediction of membrane systems using adaptive network based fuzzy inference system (ANFIS). Scientific Reports. 10(1). 16110–16110. 39 indexed citations

Kazemi, Pezhman, Jaume Giralt, Christophe Bengoa, Armin Masoumian, & Jean‐Philippe Steyer. (2020). Fault detection and diagnosis in water resource recovery facilities using incremental PCA. Water Science & Technology. 82(12). 2711–2724. 17 indexed citations

Samavatian, Vahid, et al.. (2018). Influence of Directional Random Vibration on the Fatigue Life of Solder Joints in a Power Module. IEEE Transactions on Components Packaging and Manufacturing Technology. 9(2). 262–268. 19 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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