Arno Formella

42 papers receiving 561 citations

Peers

Arno Formella
Comparison fields: 5 of 107
  • Computer Graphics and Computer-Aided Design 28
  • Water Science and Technology 70
  • Immunology and Allergy 30
  • Computational Mechanics 94
  • Media Technology 39
Replace T. Kaneko with:
T. Kaneko Japan
Yan Xia China
Ye Tian China
Yanlei Li China
Alastair Robert Allen United Kingdom
Li Shen China
Lakshman Prasad United States
Fraser Dalgleish United States
Raffaele Grasso Italy
Stephen Schiller United States
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Countries citing papers authored by Arno Formella

Since Specialization
Citations

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

Fields of papers citing papers by Arno Formella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200094
2 201890
3 200652
4 199741
5 201635
6 201831
7 200931
8 200828
9 200220
10 200417
11 201416
12 199516
13 200615
14 200912
15 201412
16 200211
17 19969
18 20218
19 20028
20 20166

About Arno Formella

Arno Formella is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Electrical and Electronic Engineering and Biomedical Engineering, having authored 43 papers that have together received 598 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (8 papers), Millimeter-Wave Propagation and Modeling (7 papers), Granular flow and fluidized beds (6 papers), Spectroscopy and Chemometric Analyses (4 papers), 3D Shape Modeling and Analysis (4 papers), Advanced Vision and Imaging (4 papers), Parallel Computing and Optimization Techniques (4 papers) and Advanced MIMO Systems Optimization (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (28 citations), Water Science and Technology (70 citations), Immunology and Allergy (30 citations), Computational Mechanics (94 citations) and Media Technology (39 citations). Arno Formella has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Fernando Aguado Agelet, Thorsten Pöschel, F. Pérez‐Fontán, Nikolai V. Brilliantov, Eva Cernadas, Orlando García-Feal, Luís Cea, M. Gómez‐Gesteira, José González-Cao and José M. Domínguez. Their work appears in journals such as The Visual Computer, IEEE Transactions on Vehicular Technology, Microwave and Optical Technology Letters, Electronics and Nature Communications.

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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