William Davis

939 total citations · 1 hit paper
6 papers, 526 citations indexed

About

William Davis is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, William Davis has authored 6 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Industrial and Manufacturing Engineering, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Media Technology. Recurrent topics in William Davis's work include Digital Transformation in Industry (3 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers) and Manufacturing Process and Optimization (2 papers). William Davis is often cited by papers focused on Digital Transformation in Industry (3 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers) and Manufacturing Process and Optimization (2 papers). William Davis collaborates with scholars based in United Kingdom, United States and Vietnam. William Davis's co-authors include Ramona Trestian, Huan X. Nguyen, Đặng Việt Hưng, Mohsin Raza, Balbir Barn, Mehmet Karamanoglu, Hrishikesh Venkataraman, Mahnoor Yaqoob, Priyan Malarvizhi Kumar and Henry G. Dietz and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Middlesex University Research Repository (Middlesex University Of London) and Electronic Imaging.

In The Last Decade

William Davis

5 papers receiving 507 citations

Hit Papers

align trajectories

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.

Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects

2022 472 citations Mahnoor Yaqoob, Đặng Việt Hưng et al. IEEE Communications Surveys & Tutorials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Davis United Kingdom	4	281	148	89	76	50	6	526
Mahnoor Yaqoob United Kingdom	4	244 0.9×	150 1.0×	97 1.1×	69 0.9×	48 1.0×	6	491
Qingsong Hua China	11	238 0.8×	161 1.1×	61 0.7×	70 0.9×	115 2.3×	12	566
Yiwen Wu China	4	243 0.9×	326 2.2×	170 1.9×	99 1.3×	45 0.9×	9	585
Celia Garrido-Hidalgo Spain	11	185 0.7×	149 1.0×	143 1.6×	61 0.8×	35 0.7×	15	539
Peter Papcun Slovakia	10	141 0.5×	127 0.9×	75 0.8×	57 0.8×	39 0.8×	24	396
Alberto Villalonga Spain	15	367 1.3×	70 0.5×	110 1.2×	44 0.6×	118 2.4×	27	667
Juuso Autiosalo Finland	11	288 1.0×	77 0.5×	27 0.3×	52 0.7×	27 0.5×	20	412
Marc Priggemeyer Germany	4	300 1.1×	54 0.4×	27 0.3×	44 0.6×	65 1.3×	11	426
Zdeněk Bradáč Czechia	13	179 0.6×	160 1.1×	176 2.0×	40 0.5×	132 2.6×	80	608

Countries citing papers authored by William Davis

Since Specialization

Citations

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

Fields of papers citing papers by William Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Davis

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

All Works

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6 of 6 papers shown

1.

Davis, William, Mahnoor Yaqoob, Viet-Hung Dang, et al.. (2023). An Innovative Blockchain-Based Traceability Framework for Industry 4.0 Cyber-Physical Factory. 118–122. 1 indexed citations

2.

Yaqoob, Mahnoor, Đặng Việt Hưng, William Davis, et al.. (2022). Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects. IEEE Communications Surveys & Tutorials. 24(4). 2255–2291. 472 indexed citations breakdown →

3.

Dietz, Henry G., et al.. (2022). ESP32-CAM as a programmable camera research platform. Electronic Imaging. 34(7). 232–1. 4 indexed citations

4.

Davis, William, Đặng Việt Hưng, Ramona Trestian, et al.. (2021). A digital twin framework for predictive maintenance in industry 4.0. Middlesex University Research Repository (Middlesex University Of London). 18 indexed citations

5.

Raza, Mohsin, Priyan Malarvizhi Kumar, Đặng Việt Hưng, et al.. (2020). A Digital Twin Framework for Industry 4.0 Enabling Next-Gen Manufacturing. Middlesex University Research Repository (Middlesex University Of London). 73–77. 31 indexed citations

6.

Dietz, Henry G., et al.. (2020). Characterization of camera shake. Electronic Imaging. 32(7). 228–1.

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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