V. Ebrahimipour

1.3k total citations
38 papers, 1.1k citations indexed

About

V. Ebrahimipour is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, V. Ebrahimipour has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Safety, Risk, Reliability and Quality, 16 papers in Statistics, Probability and Uncertainty and 7 papers in Artificial Intelligence. Recurrent topics in V. Ebrahimipour's work include Risk and Safety Analysis (14 papers), Reliability and Maintenance Optimization (14 papers) and Fault Detection and Control Systems (5 papers). V. Ebrahimipour is often cited by papers focused on Risk and Safety Analysis (14 papers), Reliability and Maintenance Optimization (14 papers) and Fault Detection and Control Systems (5 papers). V. Ebrahimipour collaborates with scholars based in Iran, Canada and Japan. V. Ebrahimipour's co-authors include A. Azadeh, Iraj Mohammadfam, Gholam Abbas Shirali, Mohammad Sheikhalishahi, Kamran Rezaie, Morteza Saberi, Soumaya Yacout, S.F. Ghaderi, Abbas Moghimbeigi and Majid Motamedzade and has published in prestigious journals such as Expert Systems with Applications, Energy Conversion and Management and International Journal of Production Research.

In The Last Decade

V. Ebrahimipour

36 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Ebrahimipour Iran 17 288 205 204 203 170 38 1.1k
Melinda Hodkiewicz Australia 22 141 0.5× 134 0.7× 188 0.9× 236 1.2× 117 0.7× 95 1.2k
Mohammad Sheikhalishahi Iran 21 147 0.5× 238 1.2× 238 1.2× 115 0.6× 76 0.4× 65 1.1k
James T. Luxhøj United States 15 275 1.0× 142 0.7× 175 0.9× 96 0.5× 142 0.8× 92 852
J.B. Bowles United States 14 411 1.4× 397 1.9× 354 1.7× 167 0.8× 81 0.5× 44 1.2k
Bin Shuai China 14 216 0.8× 175 0.9× 136 0.7× 68 0.3× 128 0.8× 69 838
Genbao Zhang China 21 388 1.3× 549 2.7× 350 1.7× 296 1.5× 88 0.5× 131 1.6k
Benoît Iung France 16 530 1.8× 80 0.4× 412 2.0× 233 1.1× 162 1.0× 41 1.3k
V.N.A. Naikan India 19 204 0.7× 192 0.9× 283 1.4× 374 1.8× 41 0.2× 77 1.1k
Seyed Mohammad Asadzadeh Iran 20 90 0.3× 427 2.1× 130 0.6× 156 0.8× 69 0.4× 64 1.2k
Lesley Walls United Kingdom 18 471 1.6× 208 1.0× 418 2.0× 70 0.3× 86 0.5× 80 1.2k

Countries citing papers authored by V. Ebrahimipour

Since Specialization
Citations

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

Fields of papers citing papers by V. Ebrahimipour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Ebrahimipour

This figure shows the co-authorship network connecting the top 25 collaborators of V. Ebrahimipour. A scholar is included among the top collaborators of V. Ebrahimipour 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 V. Ebrahimipour. V. Ebrahimipour 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.
Ebrahimipour, V.. (2017). A Synergetic Intelligent Fault Prognosis Framework to support Product Life Cycle Considering Environmentally Conscious Production. PolyPublie (École Polytechnique de Montréal). 6(3). 1 indexed citations
2.
Ebrahimipour, V., et al.. (2016). Supplier selection considering product structure and product life cycle cost. International Journal of Quality & Reliability Management. 33(5). 10 indexed citations
3.
Ebrahimipour, V. & Soumaya Yacout. (2015). Ontology-Based Schema to Support Maintenance Knowledge Representation With a Case Study of a Pneumatic Valve. IEEE Transactions on Systems Man and Cybernetics Systems. 45(4). 702–712. 28 indexed citations
4.
Ebrahimipour, V., et al.. (2014). Ontology-Based Modeling of Aircraft to support Maintenance Management System. PolyPublie (École Polytechnique de Montréal). 3 indexed citations
5.
6.
Shirali, Gholam Abbas, Iraj Mohammadfam, & V. Ebrahimipour. (2013). A new method for quantitative assessment of resilience engineering by PCA and NT approach: A case study in a process industry. Reliability Engineering & System Safety. 119. 88–94. 111 indexed citations
7.
Sheikhalishahi, Mohammad, et al.. (2013). A hybrid GA–PSO approach for reliability optimization in redundancy allocation problem. The International Journal of Advanced Manufacturing Technology. 68(1-4). 317–338. 80 indexed citations
8.
Sheikhalishahi, Mohammad, V. Ebrahimipour, & Mehdi Hosseinabadi Farahani. (2013). An integrated GA-DEA algorithm for determining the most effective maintenance policy for a k -out-of- n problem. Journal of Intelligent Manufacturing. 25(6). 1455–1462. 16 indexed citations
9.
Ebrahimipour, V., Abdorrahman Haeri, Mohammad Sheikhalishahi, & Seyed Mohammad Asadzadeh. (2012). Application of Multi-Objective Particle Swarm Optimization to Solve a Fuzzy Multi-Objective Reliability Redundancy Allocation Problem. Journal of Textile Science & Engineering. 1(2). 26–38. 5 indexed citations
10.
11.
Azadeh, A., et al.. (2012). A fuzzy regression approach for improvement of gasoline consumption estimation with uncertain data. International Journal of Industrial and Systems Engineering. 13(1). 92–92. 6 indexed citations
12.
Ebrahimipour, V., Seyed Mohammad Asadzadeh, & A. Azadeh. (2012). An emotional learning-based fuzzy inference system for improvement of system reliability evaluation in redundancy allocation problem. The International Journal of Advanced Manufacturing Technology. 66(9-12). 1657–1672. 16 indexed citations
13.
Ebrahimipour, V., et al.. (2009). An ontology approach to support FMEA studies. Expert Systems with Applications. 37(1). 671–677. 87 indexed citations
14.
Azadeh, A., et al.. (2009). A hybrid GA-simulation approach to improve JIT systems. International Journal of Production Research. 48(8). 2323–2344. 11 indexed citations
15.
Azadeh, A., et al.. (2009). A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry. Expert Systems with Applications. 37(1). 627–639. 66 indexed citations
16.
Rezaie, Kamran, et al.. (2008). Performance evaluation of manufacturing systems based on dependability management indicators—case study: chemical industry. The International Journal of Advanced Manufacturing Technology. 43(5-6). 608–619. 13 indexed citations
17.
Ebrahimipour, V., Kenji Suzuki, & A. Azadeh. (2006). An integrated off-on line approach for increasing stability and effectiveness of automated controlled systems based on pump dependability—case study: Offshore industry. Journal of Loss Prevention in the Process Industries. 19(6). 542–552. 5 indexed citations
18.
Ebrahimipour, V., A. Azadeh, Kamran Rezaie, & Kenji Suzuki. (2006). A GA–PCA approach for power sector performance ranking based on machine productivity. Applied Mathematics and Computation. 186(2). 1205–1215. 14 indexed citations
19.
20.
Ebrahimipour, V., et al.. (2005). A synergetic approach for assessing and improving equipment performance in offshore industry based on dependability. Reliability Engineering & System Safety. 91(1). 10–19. 26 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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