M. Marefat

614 citations
38 papers · 417 indexed · h-index 10

Impact in

Papers in

M. Marefat

32 papers receiving 399 citations

Peers

M. Marefat
Comparison fields: 5 of 54
  • Industrial and Manufacturing Engineering 237
  • Hardware and Architecture 36
  • Geology 22
  • Computer Vision and Pattern Recognition 77
  • Automotive Engineering 44
Replace Glenn A. Kramer with:
Glenn A. Kramer United States
Sandeep Patil Sweden
Sang C. Park South Korea
Robert Joan‐Arinyo Spain
Kamal Jamshidi Iran
Antonio Díaz-Calderón United States
Prosenjit Gupta India
Huifeng Wu China
Ying Guo China
Chengtian Ouyang China
M. Marefat relative to Glenn A. Kramer United States Glenn A. Kramer's profile →
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Countries citing papers authored by M. Marefat

Since Specialization
Citations

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

Fields of papers citing papers by M. Marefat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside M. Marefat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Marefat Line = papers co-authored together M. Marefat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990147
2 201852
3 199334
4 199231
5 200619
6 200716
7 200615
8 199714
9 200911
10 200710
11 20027
12 20077
13
Hierarchical plan merging with application to process planning
19956
14 20075
15 19965
16 19915
17 19934
18 19944
19
AN ENGINEERING INVISCID-BOUNDARY LAYER METHOD FOR CALCULATION OF AERODYNAMIC HEATING IN THE LEEWARD REGION
20074
20 20043

About M. Marefat

M. Marefat is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics and Electrical and Electronic Engineering, having authored 38 papers that have together received 417 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (15 papers), AI-based Problem Solving and Planning (6 papers), Industrial Vision Systems and Defect Detection (4 papers), Semantic Web and Ontologies (4 papers), Low-power high-performance VLSI design (4 papers), BIM and Construction Integration (4 papers), Analog and Mixed-Signal Circuit Design (4 papers) and Image Processing and 3D Reconstruction (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (237 citations), Hardware and Architecture (36 citations), Geology (22 citations), Computer Vision and Pattern Recognition (77 citations) and Automotive Engineering (44 citations). M. Marefat has collaborated with scholars based in United States and Iran. Frequent co-authors include R.L. Kashyap, Amit Juneja, Dongsheng Ma, Sanjay V. Malhotra, Janet Wang, Christopher C. Yang, Colin L. Moodie, Tamal Bose, Amir Omidvar and Hamed Asadi. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Control Systems, Computer, IEEE Transactions on Pattern Analysis and Machine Intelligence and Advances in Engineering Software.

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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