Farhad Ameri

1.3k total citations
49 papers, 852 citations indexed

About

Farhad Ameri is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Artificial Intelligence. According to data from OpenAlex, Farhad Ameri has authored 49 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Industrial and Manufacturing Engineering, 18 papers in Management Information Systems and 15 papers in Artificial Intelligence. Recurrent topics in Farhad Ameri's work include Manufacturing Process and Optimization (16 papers), Semantic Web and Ontologies (13 papers) and Business Process Modeling and Analysis (10 papers). Farhad Ameri is often cited by papers focused on Manufacturing Process and Optimization (16 papers), Semantic Web and Ontologies (13 papers) and Business Process Modeling and Analysis (10 papers). Farhad Ameri collaborates with scholars based in United States, Australia and Iran. Farhad Ameri's co-authors include Deba Dutta, Debasish Dutta, Lalit Patil, Foivos Psarommatis, Joshua D. Summers, Dimitris Kiritsis, Melinda Hodkiewicz, Mohamed Hedi Karray, Dušan Šormaz and Thierry Louge and has published in prestigious journals such as Technological Forecasting and Social Change, International Journal of Production Research and Osteoporosis International.

In The Last Decade

Farhad Ameri

48 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farhad Ameri United States 15 447 202 192 174 129 49 852
R. I. M. Young United Kingdom 17 440 1.0× 194 1.0× 175 0.9× 186 1.1× 85 0.7× 41 697
K. C. Morris United States 18 532 1.2× 184 0.9× 74 0.4× 117 0.7× 252 2.0× 80 999
Farouk Belkadi France 18 462 1.0× 121 0.6× 88 0.5× 188 1.1× 81 0.6× 57 852
Walter Terkaj Italy 19 772 1.7× 269 1.3× 344 1.8× 170 1.0× 143 1.1× 67 1.6k
Rainer Drath Germany 15 1.1k 2.5× 211 1.0× 156 0.8× 127 0.7× 89 0.7× 73 1.6k
Edzel Lapira United States 9 565 1.3× 147 0.7× 98 0.5× 73 0.4× 70 0.5× 11 1.1k
Xuesong Zhang China 15 584 1.3× 128 0.6× 118 0.6× 143 0.8× 140 1.1× 48 1.3k
Lifeng Zhou United States 13 531 1.2× 158 0.8× 157 0.8× 62 0.4× 124 1.0× 34 1.2k
Shunsheng Guo China 21 817 1.8× 95 0.5× 138 0.7× 125 0.7× 152 1.2× 74 1.5k
Karl Hribernik Germany 17 430 1.0× 136 0.7× 85 0.4× 316 1.8× 92 0.7× 60 1.0k

Countries citing papers authored by Farhad Ameri

Since Specialization
Citations

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

Fields of papers citing papers by Farhad Ameri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farhad Ameri

This figure shows the co-authorship network connecting the top 25 collaborators of Farhad Ameri. A scholar is included among the top collaborators of Farhad Ameri 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 Farhad Ameri. Farhad Ameri 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.
Sadoughi, Farahnaz, et al.. (2024). Developing fracture liaison service framework based on comparative analysis and scoping review. Osteoporosis International. 35(9). 1513–1571. 1 indexed citations
2.
Ameri, Farhad, et al.. (2023). A Text Analytics Framework for Supplier Capability Scoring Supported by Normalized Google Distance and Semantic Similarity Measurement Methods. Journal of Computing and Information Science in Engineering. 23(5). 3 indexed citations
3.
Lu, Yuqian, Lihui Wang, Jinsong Bao, José L. Martínez Lastra, & Farhad Ameri. (2022). Semantic artificial intelligence for smart manufacturing automation. Robotics and Computer-Integrated Manufacturing. 77. 102333–102333. 3 indexed citations
4.
Psarommatis, Foivos, Francisco Fraile, & Farhad Ameri. (2022). Zero Defect Manufacturing ontology: A preliminary version based on standardized terms. Computers in Industry. 145. 103832–103832. 31 indexed citations
5.
Ameri, Farhad, et al.. (2021). A non-conformance rate prediction method supported by machine learning and ontology in reducing underproduction cost and overproduction cost. International Journal of Production Research. 59(16). 5011–5031. 8 indexed citations
6.
Smith, Barry, et al.. (2019). A First-Order Logic Formalization of the Industrial Ontology Foundry Signature Using Basic Formal Ontology. PhilPapers (PhilPapers Foundation). 7 indexed citations
7.
Ameri, Farhad, Kathryn E. Stecke, Gregor von Cieminski, & Dimitris Kiritsis. (2019). Advances in Production Management Systems. Towards Smart Production Management Systems. IFIP advances in information and communication technology. 15 indexed citations
8.
Brundage, Michael P., Thurston Sexton, Melinda Hodkiewicz, et al.. (2019). Where Do We Start? Guidance for Technology Implementation in Maintenance Management for Manufacturing. Journal of Manufacturing Science and Engineering. 141(9). 22 indexed citations
9.
Karray, Mohamed Hedi, Farhad Ameri, Melinda Hodkiewicz, & Thierry Louge. (2019). ROMAIN: Towards a BFO compliant reference ontology for industrial maintenance. Applied Ontology. 14(2). 155–177. 47 indexed citations
10.
Ameri, Farhad, et al.. (2017). Concept-Based Text Mining Technique for Semantic Classification of Manufacturing Suppliers. 1(1). 28–52. 1 indexed citations
11.
Ameri, Farhad, et al.. (2014). Ontological Conceptualization Based on the SKOS. Journal of Computing and Information Science in Engineering. 14(3). 10 indexed citations
12.
Ghazinoory, Sepehr, et al.. (2012). An application of the text mining approach to select technology centers of excellence. Technological Forecasting and Social Change. 80(5). 918–931. 22 indexed citations
13.
Ameri, Farhad, et al.. (2012). A multi-agent system for autonomous supply chain configuration. The International Journal of Advanced Manufacturing Technology. 66(5-8). 1097–1112. 27 indexed citations
14.
Ameri, Farhad, et al.. (2011). KNOWLEDGE REPRESENTATION FOR SUPPLIER DISCOVERY IN DISTRIBUTED DESIGN AND MANUFACTURING. 121–130. 1 indexed citations
15.
Sen, Chiradeep, Farhad Ameri, & Joshua D. Summers. (2010). An Entropic Method for Sequencing Discrete Design Decisions. Journal of Mechanical Design. 132(10). 9 indexed citations
16.
Ameri, Farhad, et al.. (2010). An Ontological Approach to Manufacturing Supplier Discovery in Virtual Markets. 435–447. 3 indexed citations
17.
Sen, Chiradeep, Farhad Ameri, & Joshua D. Summers. (2009). Entropic Method for Sequencing Discrete Design Decisions. 337–349. 8 indexed citations
18.
Ameri, Farhad. (2006). Semantic Web-based framework for supply chain deployment in digital manufacturing market.. Deep Blue (University of Michigan). 1 indexed citations
19.
Ameri, Farhad & Debasish Dutta. (2006). An Upper Ontology for Manufacturing Service Description. 651–661. 64 indexed citations
20.
Ameri, Farhad & Deba Dutta. (2005). Product Lifecycle Management: Closing the Knowledge Loops. Computer-Aided Design and Applications. 2(5). 577–590. 213 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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