Mojtaba Nabipour

1.5k total citations · 2 hit papers
13 papers, 928 citations indexed

About

Mojtaba Nabipour is a scholar working on Automotive Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Mojtaba Nabipour has authored 13 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Automotive Engineering, 4 papers in Industrial and Manufacturing Engineering and 3 papers in Mechanical Engineering. Recurrent topics in Mojtaba Nabipour's work include Additive Manufacturing and 3D Printing Technologies (6 papers), Manufacturing Process and Optimization (4 papers) and Innovations in Concrete and Construction Materials (2 papers). Mojtaba Nabipour is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (6 papers), Manufacturing Process and Optimization (4 papers) and Innovations in Concrete and Construction Materials (2 papers). Mojtaba Nabipour collaborates with scholars based in Iran, Vietnam and Slovakia. Mojtaba Nabipour's co-authors include Amir Mosavi, Pooyan Nayyeri, S. Shahab, Behnam Akhoundi, Ely Salwana, Amirhossein Ahmadi, Behnam Mohammadi‐Ivatloo, Vahid Vahidinasab, Ali Moradi Amani and Md. Jalil Piran and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and IEEE Transactions on Power Delivery.

In The Last Decade

Mojtaba Nabipour

13 papers receiving 882 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.

Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis

2020 258 citations Mojtaba Nabipour, Pooyan Nayyeri et al. IEEE Access profile →
Deep Learning for Stock Market Prediction

2020 218 citations Mojtaba Nabipour, Pooyan Nayyeri et al. Entropy profile →

Peers

Mojtaba Nabipour

MSOR

EEE

AE

ME

AI

Olcay Ersel Canyurt Türkiye

Pooyan Nayyeri Canada

Goran Šimunović Croatia

Miloš Madić Serbia

Hongyu Zhu China

S. Kumanan India

Dariusz Kacprzak New Zealand

Borut Buchmeister Slovenia

Daeil Kwon South Korea

Olcay Ersel Canyurt Türkiye

Mojtaba Nabipour

275 ×0.8

MSOR

489 ×1.7

EEE

54 ×0.2

AE

212 ×1.5

ME

143 ×1.1

AI

Citations per year, relative to Mojtaba Nabipour Mojtaba Nabipour (= 1×) peers Olcay Ersel Canyurt

Countries citing papers authored by Mojtaba Nabipour

Since Specialization

Citations

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

Fields of papers citing papers by Mojtaba Nabipour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mojtaba Nabipour

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

All Works

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13 of 13 papers shown

1.

Nabipour, Mojtaba, et al.. (2024). Action Unit Analysis for Monitoring Drivers’ Emotional States. IEEE Sensors Journal. 24(15). 24758–24769. 2 indexed citations

2.

Nabipour, Mojtaba, et al.. (2023). A Deep Learning-Based Remote Plethysmography with the Application in Monitoring drivers’ Wellness. 44. 1–4. 1 indexed citations

3.

Ahmadi, Amirhossein, Mojtaba Nabipour, Saman Taheri, Behnam Mohammadi‐Ivatloo, & Vahid Vahidinasab. (2022). A New False Data Injection Attack Detection Model for Cyberattack Resilient Energy Forecasting. IEEE Transactions on Industrial Informatics. 19(1). 371–381. 42 indexed citations

4.

Ahmadi, Amirhossein, Mojtaba Nabipour, Behnam Mohammadi‐Ivatloo, & Vahid Vahidinasab. (2021). Ensemble Learning-Based Dynamic Line Rating Forecasting Under Cyberattacks. IEEE Transactions on Power Delivery. 37(1). 230–238. 37 indexed citations

5.

Akhoundi, Behnam, et al.. (2021). Calculating printing speed in order to correctly print PLA/continuous glass fiber composites via fused filament fabrication 3D printer. Journal of Thermoplastic Composite Materials. 36(1). 162–181. 34 indexed citations

6.

Nabipour, Mojtaba, et al.. (2020). Deep Learning for Stock Market Prediction. Entropy. 22(8). 840–840. 218 indexed citations breakdown →

7.

Akhoundi, Behnam, et al.. (2020). Calculating Filament Feed in the Fused Deposition Modeling Process to Correctly Print Continuous Fiber Composites in Curved Paths. Materials. 13(20). 4480–4480. 20 indexed citations

8.

Nabipour, Mojtaba, et al.. (2020). Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis. IEEE Access. 8. 150199–150212. 258 indexed citations breakdown →

9.

Nabipour, Mojtaba & Behnam Akhoundi. (2020). An experimental study of FDM parameters effects on tensile strength, density, and production time of ABS/Cu composites. Journal of Elastomers & Plastics. 53(2). 146–164. 59 indexed citations

10.

Akhoundi, Behnam, et al.. (2020). An Experimental Study of Nozzle Temperature and Heat Treatment (Annealing) Effects on Mechanical Properties of High‐Temperature Polylactic Acid in Fused Deposition Modeling. Polymer Engineering and Science. 60(5). 979–987. 108 indexed citations

11.

Ahmadi, Amirhossein, Mojtaba Nabipour, Behnam Mohammadi‐Ivatloo, et al.. (2020). Long-Term Wind Power Forecasting Using Tree-Based Learning Algorithms. IEEE Access. 8. 151511–151522. 100 indexed citations

12.

Nabipour, Mojtaba, Behnam Akhoundi, & Arvin Bagheri Saed. (2019). Manufacturing of polymer/metal composites by fused deposition modeling process with polyethylene. Journal of Applied Polymer Science. 137(21). 48 indexed citations

13.

Nabipour, Mojtaba, Amir Hossein Behravesh, & Behnam Akhoundi. (2017). Effect of printing parameters on Mechanical Strength of Polymer-Metal composites Printed via FDM 3D printer. 17(1). 145–150. 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.

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