Connor Jennings

891 total citations · 1 hit paper
10 papers, 684 citations indexed

About

Connor Jennings is a scholar working on Mechanical Engineering, Management of Technology and Innovation and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Connor Jennings has authored 10 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Mechanical Engineering, 3 papers in Management of Technology and Innovation and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Connor Jennings's work include Advanced machining processes and optimization (4 papers), Advanced Machining and Optimization Techniques (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). Connor Jennings is often cited by papers focused on Advanced machining processes and optimization (4 papers), Advanced Machining and Optimization Techniques (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). Connor Jennings collaborates with scholars based in United States. Connor Jennings's co-authors include Janis Terpenny, Dazhong Wu, Soundar Kumara, Robert X. Gao, M. Modjaz, T. Matheson, WeiKang Zheng, Thomas de Jaeger, A. V. Filippenko and P. J. Brown and has published in prestigious journals such as The Astrophysical Journal, Journal of Manufacturing Science and Engineering and IEEE Transactions on Components Packaging and Manufacturing Technology.

In The Last Decade

Connor Jennings

9 papers receiving 656 citations

Hit Papers

A Comparative Study on Machine Learning Algorithms for Sm... 2017 2026 2020 2023 2017 100 200 300 400
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 Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests
    2017 487 citations Dazhong Wu, Connor Jennings et al. Journal of Manufacturing Science and Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Connor Jennings United States 6 360 265 191 129 69 10 684
Arunkumar Bongale India 17 405 1.1× 203 0.8× 196 1.0× 141 1.1× 83 1.2× 77 828
Eckhard Kirchner Germany 14 386 1.1× 287 1.1× 77 0.4× 113 0.9× 55 0.8× 131 712
Weiqiang Jia China 15 269 0.7× 165 0.6× 111 0.6× 339 2.6× 25 0.4× 39 823
José V. Abellán‐Nebot Spain 16 609 1.7× 477 1.8× 250 1.3× 70 0.5× 182 2.6× 53 933
Weichao Luo China 10 256 0.7× 734 2.8× 126 0.7× 134 1.0× 39 0.6× 20 954
Peter E. Orban Canada 8 581 1.6× 376 1.4× 292 1.5× 132 1.0× 229 3.3× 20 866
Abubakar Abdussalam Nuhu Cyprus 8 135 0.4× 202 0.8× 72 0.4× 158 1.2× 44 0.6× 11 690
Huibin Sun China 14 418 1.2× 198 0.7× 215 1.1× 115 0.9× 94 1.4× 43 681
Fernando Romero Spain 12 392 1.1× 408 1.5× 146 0.8× 65 0.5× 81 1.2× 46 677
Eoin P. Hinchy Ireland 11 162 0.5× 421 1.6× 86 0.5× 56 0.4× 87 1.3× 20 780

Countries citing papers authored by Connor Jennings

Since Specialization
Citations

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

Fields of papers citing papers by Connor Jennings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connor Jennings

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

All Works

10 of 10 papers shown
1.
Vasylyev, Sergiy S., A. V. Filippenko, Christian R. Vogl, et al.. (2022). Early-time Ultraviolet Spectroscopy and Optical Follow-up Observations of the Type IIP Supernova 2021yja. The Astrophysical Journal. 934(2). 134–134.
2.
Jennings, Connor. (2018). Forecasting Technical and Functional Obsolescence for Improved Business Processes. 1 indexed citations
3.
Jennings, Connor, et al.. (2018). Clustering design structure matrices: A comparison of methods using minimum description length. 1 indexed citations
4.
Wu, Dazhong, Connor Jennings, Janis Terpenny, Robert X. Gao, & Soundar Kumara. (2017). A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests. Journal of Manufacturing Science and Engineering. 139(7). 487 indexed citations breakdown →
5.
Wu, Dazhong, Connor Jennings, Janis Terpenny, Robert X. Gao, & Soundar Kumara. (2017). Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear. 28 indexed citations
6.
Wu, Dazhong, Connor Jennings, Janis Terpenny, Soundar Kumara, & Robert X. Gao. (2017). Cloud-Based Parallel Machine Learning for Tool Wear Prediction. Journal of Manufacturing Science and Engineering. 140(4). 63 indexed citations
7.
Wu, Dazhong, Connor Jennings, Janis Terpenny, & Soundar Kumara. (2016). Cloud-based machine learning for predictive analytics: Tool wear prediction in milling. 2062–2069. 55 indexed citations
8.
Jennings, Connor, Dazhong Wu, & Janis Terpenny. (2016). Forecasting Obsolescence Risk Using Machine Learning. 6 indexed citations
9.
Jennings, Connor, Dazhong Wu, & Janis Terpenny. (2016). Forecasting Obsolescence Risk and Product Life Cycle With Machine Learning. IEEE Transactions on Components Packaging and Manufacturing Technology. 6(9). 1428–1439. 42 indexed citations
10.
Jennings, Connor & Janis Terpenny. (2015). Taxonomy of factors for lifetime buy. 430–436. 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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