Max Kirkpatrick

461 total citations · 1 hit paper
11 papers, 285 citations indexed

About

Max Kirkpatrick is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Max Kirkpatrick has authored 11 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Industrial and Manufacturing Engineering, 4 papers in Control and Systems Engineering and 4 papers in Biomedical Engineering. Recurrent topics in Max Kirkpatrick's work include Soft Robotics and Applications (3 papers), Digital Transformation in Industry (3 papers) and Robot Manipulation and Learning (3 papers). Max Kirkpatrick is often cited by papers focused on Soft Robotics and Applications (3 papers), Digital Transformation in Industry (3 papers) and Robot Manipulation and Learning (3 papers). Max Kirkpatrick collaborates with scholars based in United States. Max Kirkpatrick's co-authors include Ramy Harik, Clint Saidy, Christopher Sacco, Lam M. Nguyen, Joshua A. Tarbutton, ChaBum Lee, Amit Sheth, Roudy Wehbe and Devin R. Berg and has published in prestigious journals such as Sensors, Composites Part B Engineering and Journal of Manufacturing Systems.

In The Last Decade

Max Kirkpatrick

11 papers receiving 268 citations

Hit Papers

A digital twin to train deep reinforcement learning agent... 2020 2026 2022 2024 2020 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence
    2020 237 citations Christopher Sacco, Max Kirkpatrick et al. Journal of Manufacturing Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Kirkpatrick United States 5 199 31 29 25 25 11 285
Clint Saidy United States 6 245 1.2× 36 1.2× 23 0.8× 24 1.0× 29 1.2× 8 361
Andreas Löcklin Germany 10 180 0.9× 22 0.7× 21 0.7× 21 0.8× 37 1.5× 19 275
Rongli Zhao China 8 294 1.5× 26 0.8× 28 1.0× 48 1.9× 42 1.7× 14 413
João Sousa Portugal 7 188 0.9× 27 0.9× 24 0.8× 17 0.7× 21 0.8× 16 268
Dongxu Ma China 6 165 0.8× 13 0.4× 17 0.6× 33 1.3× 11 0.4× 11 264
Zexuan Zhu New Zealand 6 248 1.2× 28 0.9× 23 0.8× 11 0.4× 33 1.3× 6 358
Iris Graessler Germany 8 164 0.8× 18 0.6× 22 0.8× 45 1.8× 15 0.6× 25 292
Shimin Liu China 7 189 0.9× 18 0.6× 26 0.9× 82 3.3× 32 1.3× 17 302

Countries citing papers authored by Max Kirkpatrick

Since Specialization
Citations

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

Fields of papers citing papers by Max Kirkpatrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Kirkpatrick

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

All Works

11 of 11 papers shown
1.
Kirkpatrick, Max, et al.. (2023). Mapping of multimodality data for manufacturing analyses in automated fiber placement. Composites Part B Engineering. 263. 110881–110881. 2 indexed citations
2.
Kirkpatrick, Max, et al.. (2023). Motion capture based calibration for industrial robots. Manufacturing Letters. 35. 926–932. 2 indexed citations
3.
Saidy, Clint, et al.. (2021). Towards Semantic Integration of Machine Vision Systems to Aid Manufacturing Event Understanding. Sensors. 21(13). 4276–4276. 12 indexed citations
4.
Sacco, Christopher, et al.. (2021). On the effect of manual rework in AFP quality control for a doubly-curved part. Composites Part B Engineering. 227. 109432–109432. 8 indexed citations
5.
Sacco, Christopher, et al.. (2020). A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence. Journal of Manufacturing Systems. 58. 210–230. 237 indexed citations breakdown →
6.
Sacco, Christopher, et al.. (2019). Virtual Comissioning of Manufacturing System Intelligent Control. 7 indexed citations
7.
Kirkpatrick, Max, et al.. (2019). Design and Preliminary Testing of a Continuum Assistive Robotic Manipulator. Robotics. 8(4). 84–84. 3 indexed citations
8.
Kirkpatrick, Max, et al.. (2018). User Testing Of A Continuum Manipulator For Assistive Technology. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
9.
Kirkpatrick, Max, et al.. (2016). Automated Reconstruction of Continuous Robotic Motion from G-Code Patterns. 316–321. 2 indexed citations
10.
11.
Kirkpatrick, Max, et al.. (1984). PHOTOMETRIC TESTS OF DAYTIME RUNNING LIGHTS. 1 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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2026