J. Cecil

99 papers receiving 1.4k citations

Peers

J. Cecil
Comparison fields: 5 of 112
  • Industrial and Manufacturing Engineering 539
  • Human-Computer Interaction 190
  • Management of Technology and Innovation 131
  • Management Information Systems 159
  • Computer Vision and Pattern Recognition 309
Replace Íñigo Barandiarán with:
Íñigo Barandiarán Spain
Barbara Rita Barricelli Italy
Maura Mengoni Italy
Jason Yon United Kingdom
Chih‐Hsing Chu Taiwan
Jae Yeol Lee South Korea
Yunfeng Zhang Singapore
Marcelo V. García Ecuador
Francesco Leali Italy
Jivka Ovtcharova Germany
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Citations per field
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Íñigo Barandiarán · 1×
Citations per year

Countries citing papers authored by J. Cecil

Since Specialization
Citations

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

Fields of papers citing papers by J. Cecil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015118
2 2015111
3 2012105
4 200684
5 200683
6 200572
7 201755
8 200151
9 201548
10 202240
11 199237
12 201832
13 201331
14 201731
15 201330
16 200129
17 200229
18 201929
19 200525
20 201923

About J. Cecil

J. Cecil is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Automotive Engineering, Surgery and Biomedical Engineering, having authored 106 papers that have together received 1.5k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (42 papers), Augmented Reality Applications (33 papers), Surgical Simulation and Training (23 papers), Additive Manufacturing and 3D Printing Technologies (20 papers), Digital Transformation in Industry (18 papers), Anatomy and Medical Technology (11 papers), Virtual Reality Applications and Impacts (11 papers) and Collaboration in agile enterprises (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (539 citations), Human-Computer Interaction (190 citations), Management of Technology and Innovation (131 citations), Management Information Systems (159 citations) and Computer Vision and Pattern Recognition (309 citations). J. Cecil has collaborated with scholars based in United States, France and Hungary. Frequent co-authors include Avinash Gupta, Yajun Lü, Hervé Panetto, Miguel Pirela-Cruz, Parmesh Ramanathan, Rajesh Krishnamurthy, Parameswaran Ramanathan, N. Gobinath, Milan Zdravković and István Mezgár. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Journal of Intelligent Manufacturing, Robotics and Computer-Integrated Manufacturing, International Journal of Computer Integrated Manufacturing and Lecture notes in computer science.

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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