Bart Cox

531 citations
24 papers · 390 · h-index 9

Impact in

  • Geophysics top 5%
    • Seismic Waves and Analysis
    • Seismic Imaging and Inversion Techniques
    • Drilling and Well Engineering
    • Geophysics and Sensor Technology
    • Geophysical Methods and Applications

Papers in

    • Seismic Imaging and Inversion Techniques 11
    • Seismic Waves and Analysis 6
    • Reservoir Engineering and Simulation Methods 6
    • Drilling and Well Engineering 5

Bart Cox

22 papers receiving 367 citations

Peers

Bart Cox
Comparison fields: 5 of 39
  • Geophysics 282
  • Ocean Engineering 182
  • Oceanography 30
  • Artificial Intelligence 69
  • Electrical and Electronic Engineering 113
Replace Tianyue Hu with:
Tianyue Hu China
Sudhendu Kashikar Canada
Qianwei Dai China
Rocco Detomo Netherlands
S. Lueth Germany
Haishan Li China
Sergi Ventosa Spain
Pavel Golikov United States
Martijn van den Ende France
Anton Egorov Russia
Bart Cox relative to Tianyue Hu China Tianyue Hu's profile →
Citations per field
00.5×2.7×
Tianyue Hu · 1×
Citations per year

Countries citing papers authored by Bart Cox

Since Specialization
Citations

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

Fields of papers citing papers by Bart Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bart Cox, 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 Bart Cox Line = papers co-authored together Bart Cox links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011164
2 201297
3 201219
4 202119
5 201314
6 200113
7 200810
8 202210
9 20229
10 20175
11 20125
12 20214
13 20174
14 20033
15 20143
16 20172
17 20032
18 20012
19 20142
20 20211

About Bart Cox

Bart Cox is a scholar working on Geophysics, Ocean Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 24 papers that have together received 390 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (11 papers), Seismic Waves and Analysis (6 papers), Reservoir Engineering and Simulation Methods (6 papers), Advanced Neural Network Applications (5 papers), Drilling and Well Engineering (5 papers), Stochastic Gradient Optimization Techniques (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Age of Information Optimization (2 papers). The work is most often cited by research in Geophysics (282 citations), Ocean Engineering (182 citations), Oceanography (30 citations), Artificial Intelligence (69 citations) and Electrical and Electronic Engineering (113 citations). Bart Cox has collaborated with scholars based in Netherlands, Switzerland and United Kingdom. Frequent co-authors include Jorge López, J. J. Mestayer, P. Wills, David J. Hill, Denis Kiyashchenko, Gustavo Ugueto, Giacomo Solano, Stephen Bourne, Robert H. Lupton and Albena Mateeva. Their work appears in journals such as Pervasive and Mobile Computing, First Break, Offshore Technology Conference, Proceedings and Research Repository (Delft University of Technology).

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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