Max Ferguson

550 total citations
14 papers, 393 citations indexed

About

Max Ferguson is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Max Ferguson has authored 14 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Industrial and Manufacturing Engineering, 6 papers in Mechanical Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Max Ferguson's work include Industrial Vision Systems and Defect Detection (7 papers), Fault Detection and Control Systems (5 papers) and Infrastructure Maintenance and Monitoring (3 papers). Max Ferguson is often cited by papers focused on Industrial Vision Systems and Defect Detection (7 papers), Fault Detection and Control Systems (5 papers) and Infrastructure Maintenance and Monitoring (3 papers). Max Ferguson collaborates with scholars based in United States, South Korea and France. Max Ferguson's co-authors include Kincho H. Law, Yung-Tsun Tina Lee, Ronay Ak, Seongwoon Jeong, Rui Hou, Jerome P. Lynch, Hoon Sohn, Paul Witherell, David Lechevalier and Sudarsan Rachuri and has published in prestigious journals such as Advanced Engineering Informatics, Journal of Computing and Information Science in Engineering and PubMed.

In The Last Decade

Max Ferguson

14 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Ferguson United States 8 120 115 114 68 55 14 393
Zaid Al‐Huda China 14 71 0.6× 190 1.7× 79 0.7× 152 2.2× 61 1.1× 54 594
Dehua Wei China 6 128 1.1× 209 1.8× 187 1.6× 120 1.8× 19 0.3× 17 430
Khurram Kamal Pakistan 14 83 0.7× 278 2.4× 186 1.6× 86 1.3× 30 0.5× 45 631
Farhad Pourkamali‐Anaraki United States 12 34 0.3× 190 1.7× 59 0.5× 58 0.9× 83 1.5× 38 468
Giulio D’Emilia Italy 14 97 0.8× 107 0.9× 189 1.7× 88 1.3× 17 0.3× 81 513
Haifeng Li China 12 35 0.3× 266 2.3× 74 0.6× 89 1.3× 58 1.1× 41 534
Zhangcan Huang China 9 47 0.4× 212 1.8× 56 0.5× 94 1.4× 61 1.1× 29 417

Countries citing papers authored by Max Ferguson

Since Specialization
Citations

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

Fields of papers citing papers by Max Ferguson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Ferguson

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

All Works

14 of 14 papers shown
1.
Ferguson, Max, et al.. (2021). SEGMENTATION OF ADDITIVE MANUFACTURING DEFECTS USING U-NET. Journal of Computing and Information Science in Engineering. 1–44. 11 indexed citations
2.
Ferguson, Max, et al.. (2021). Segmentation of Additive Manufacturing Defects Using U-Net. 28 indexed citations
3.
Ferguson, Max, Yung-Tsun Tina Lee, Anantha Narayanan, & Kincho H. Law. (2019). A Standardized PMML Format for Representing Convolutional Neural Networks with Application to Defect Detection. PubMed. 3(1). 79–97. 4 indexed citations
4.
Jeong, Seongwoon, Max Ferguson, Rui Hou, et al.. (2019). Sensor data reconstruction using bidirectional recurrent neural network with application to bridge monitoring. Advanced Engineering Informatics. 42. 100991–100991. 110 indexed citations
5.
6.
Ferguson, Max & Kincho H. Law. (2019). A 2D-3D Object Detection System for Updating Building Information Models with Mobile Robots. 1357–1365. 8 indexed citations
7.
Ferguson, Max, et al.. (2019). An Assistive Learning Workflow on Annotating Images for Object Detection. 1. 1962–1970. 1 indexed citations
8.
Ferguson, Max, Seongwoon Jeong, & Kincho H. Law. (2019). Worksite Object Characterization for Automatically Updating Building Information Models. 5 indexed citations
9.
Jeong, Seongwoon, Max Ferguson, & Kincho H. Law. (2019). Sensor data reconstruction and anomaly detection using bidirectional recurrent neural network. 19 indexed citations
10.
Ferguson, Max, et al.. (2018). A Data Processing Pipeline for Prediction of Milling Machine Tool Condition from Raw Sensor Data. PubMed. 2(1). 40–63. 5 indexed citations
11.
Lechevalier, David, et al.. (2017). Gaussian Process Regression (GPR) Representation in Predictive Model Markup Language (PMML). PubMed. 1(1). 121–142. 44 indexed citations
12.
Ferguson, Max, Ronay Ak, Yung-Tsun Tina Lee, & Kincho H. Law. (2017). Automatic localization of casting defects with convolutional neural networks. 1726–1735. 142 indexed citations
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14.

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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2026