Mojtaba Nabipour
- Management Science and Operations Research top 2%
- Electrical and Electronic Engineering
- Automotive Engineering top 5%
- Mechanical Engineering
- Artificial Intelligence top 10%
- Co-authors
- Amir MosaviPooyan NayyeriS. ShahabBehnam AkhoundiEly SalwanaAmirhossein AhmadiBehnam Mohammadi‐IvatlooVahid Vahidinasab
- Topics
- Additive Manufacturing and 3D Printing Technologies (6 papers)Manufacturing Process and Optimization (4 papers)Innovations in Concrete and Construction Materials (2 papers)
In The Last Decade
Mojtaba Nabipour
13 papers receiving 882 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Management Science and Operations Research 362
- Electrical and Electronic Engineering 281
- Automotive Engineering 253
- Mechanical Engineering 138
- Artificial Intelligence 130
Countries citing papers authored by Mojtaba Nabipour
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 42 | |
| 4 | 37 | |
| 5 | 34 | |
| 6 | Deep Learning for Stock Market Predictionbreakdown → | 218 |
| 7 | 20 | |
| 8 | Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysisbreakdown → | 258 |
| 9 | 59 | |
| 10 | 108 | |
| 11 | 100 | |
| 12 | 48 | |
| 13 | Effect of printing parameters on Mechanical Strength of Polymer-Metal composites Printed via FDM 3D printer | 1 |
About Mojtaba Nabipour
Mojtaba Nabipour is a scholar working on Automotive Engineering, Industrial and Manufacturing Engineering and Management Science and Operations Research, having authored 13 papers that have together received 928 indexed citations. Recurring topics across this 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). The work is most often cited by research in Management Science and Operations Research (362 citations), Automotive Engineering (253 citations) and Industrial and Manufacturing Engineering (110 citations). Mojtaba Nabipour has collaborated with scholars based in Iran, Vietnam and Slovakia. Frequent 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. Their work appears in journals such as IEEE Access, IEEE Transactions on Industrial Informatics and IEEE Transactions on Power Delivery.
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.