Danilo Colombo

50 papers receiving 563 citations

Peers

Danilo Colombo
Comparison fields: 5 of 116
  • Statistics, Probability and Uncertainty 36
  • Ocean Engineering 71
  • Computer Vision and Pattern Recognition 87
  • Cognitive Neuroscience 75
  • Radiological and Ultrasound Technology 15
Replace Tengfei Yuan with:
Tengfei Yuan China
S. Charbonnier France
Hamed Taheri Gorji United States
Mikael Ekström Sweden
Xujie Li China
Muhammad Aksam Iftikhar Pakistan
Xiaoyi Liu China
Huajie Zhang China
Qin Tang China
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Citations per field
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Citations per year

Countries citing papers authored by Danilo Colombo

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Colombo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008107
2 202265
3 202140
4 202035
5 202133
6 202028
7 201924
8 202019
9 201919
10 202017
11 202116
12 201816
13 202014
14 201910
15 201810
16 199110
17 20209
18 20218
19 20217
20 20197

About Danilo Colombo

Danilo Colombo is a scholar working on Ocean Engineering, Statistics, Probability and Uncertainty, Molecular Biology, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 576 indexed citations. Recurring topics across this work include Drilling and Well Engineering (14 papers), Risk and Safety Analysis (10 papers), Enzyme Catalysis and Immobilization (10 papers), Oil and Gas Production Techniques (10 papers), Reservoir Engineering and Simulation Methods (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Human Pose and Action Recognition (5 papers) and Hydraulic Fracturing and Reservoir Analysis (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (36 citations), Ocean Engineering (71 citations), Computer Vision and Pattern Recognition (87 citations), Cognitive Neuroscience (75 citations) and Radiological and Ultrasound Technology (15 citations). Danilo Colombo has collaborated with scholars based in Brazil, Italy and Norway. Frequent co-authors include Elisabetta Brenna, João Paulo Papa, Francesco G. Gatti, Leandro A. Passos, Marcelo J.S. de Lemos, Fabio Parmeggiani, Davide Tessaro, Claudio Filipi Gonçalves dos Santos, Fabrizio Vecchio and Pieter Jelle Visser. Their work appears in journals such as Journal of Petroleum Science and Engineering, Catalysts, IEEE Intelligent Systems, SPE Production & Operations and SPE Drilling & Completion.

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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