Arno Formella

51 papers receiving 699 citations

Peers

Arno Formella
Comparison fields: 5 of 107
  • Analytical Chemistry 95
  • Computer Graphics and Computer-Aided Design 34
  • Immunology and Allergy 35
  • Hardware and Architecture 44
  • Water Science and Technology 78
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T. Kaneko Japan
Matthew Anderson United States
Mohammad A. Karim United States
Matthias Möller Netherlands
Alastair Robert Allen United Kingdom
Robert F. Cromp United States
Ray E. Sheriff United Kingdom
Frédéric Truchetet France
Tomáš Suk Czechia
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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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200095
2 201894
3 200659
4 199741
5 201136
6 201635
7 200933
8 201831
9 200828
10 201127
11 200423
12 200220
13 199617
14 201416
15 199516
16 200615
17 201413
18 199612
19 200912
20 200211

About Arno Formella

Arno Formella is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Biomedical Engineering and Computer Networks and Communications, having authored 53 papers that have together received 739 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (9 papers), Spectroscopy and Chemometric Analyses (7 papers), Millimeter-Wave Propagation and Modeling (7 papers), Granular flow and fluidized beds (6 papers), Parallel Computing and Optimization Techniques (6 papers), Water Quality Monitoring Technologies (5 papers), Advanced Vision and Imaging (5 papers) and Identification and Quantification in Food (5 papers). The work is most often cited by research in Analytical Chemistry (95 citations), Computer Graphics and Computer-Aided Design (34 citations), Immunology and Allergy (35 citations), Hardware and Architecture (44 citations) and Water Science and Technology (78 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, Manuel Fernández-Delgado, Eva Cernadas, Esteban Vázquez-Fernández, Nikolai V. Brilliantov, M. Gómez‐Gesteira, Luís Cea and José González-Cao. Their work appears in journals such as IEEE Transactions on Vehicular Technology, The Visual Computer, Microwave and Optical Technology Letters, Measurement Science and Technology and Pattern Recognition Letters.

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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