V. Castelli

1.4k citations
49 papers · 1.1k · h-index 17

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Tribology and Lubrication Engineering
    • Gear and Bearing Dynamics Analysis
    • Hydraulic and Pneumatic Systems

Papers in

V. Castelli

48 papers receiving 953 citations

Peers

V. Castelli
Comparison fields: 5 of 86
  • Software 115
  • Mechanical Engineering 384
  • Signal Processing 108
  • Computer Networks and Communications 222
  • Computer Vision and Pattern Recognition 162
Replace Qiang Guan with:
Qiang Guan United States
Jie Ren China
Andreas Abel Germany
B.S. Heck United States
Julius Τ. Tou United States
Xiangyu Kong China
Prabhakar Kudva United States
Takehisa Yairi Japan
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Citations per field
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Qiang Guan · 1×
Citations per year

Countries citing papers authored by V. Castelli

Since Specialization
Citations

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

Fields of papers citing papers by V. Castelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001226
2 1996149
3 196876
4 196564
5 200362
6 200251
7 199838
8 196731
9 198026
10 197424
11 196724
12 197124
13 196923
14 200220
15 198519
16 196417
17 196916
18 196714
19 200613
20 200212

About V. Castelli

V. Castelli is a scholar working on Mechanical Engineering, Mechanics of Materials, Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (23 papers), Gear and Bearing Dynamics Analysis (18 papers), Tribology and Wear Analysis (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (7 papers), Adhesion, Friction, and Surface Interactions (5 papers), Advanced Statistical Methods and Models (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Software (115 citations), Mechanical Engineering (384 citations), Signal Processing (108 citations), Computer Networks and Communications (222 citations) and Computer Vision and Pattern Recognition (162 citations). V. Castelli has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Thomas M. Cover, Chung‐Sheng Li, H. G. Elrod, Kishor S. Trivedi, S. W. Hunter, Kalyanaraman Vaidyanathan, R.E. Harper, Philip Heidelberger, Philip S. Yu and Dan S. Bloomberg. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Magnetics, IBM Journal of Research and Development, Biomedicines and IEEE Transactions on Knowledge and Data Engineering.

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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