Alberto Martinetti
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 5%
- Social Psychology
- Radiological and Ultrasound Technology top 5%
- Human-Computer Interaction top 10%
- Co-authors
- Leo van DongenKostas NizamisPeter ChemwenoEduard Fosch‐VillarongaMaria Mikela ChatzimichailidouSarbjeet SinghSebastian ThiedeJan Braaksma
- Topics
- Human-Automation Interaction and Safety (9 papers)Occupational Health and Safety Research (7 papers)Digital Transformation in Industry (7 papers)
- Cited by
- Medical Laboratory TechnologyRadiological and Ultrasound TechnologyHuman-Computer Interaction
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- NetherlandsUnited KingdomItaly
In The Last Decade
Alberto Martinetti
44 papers receiving 334 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 68
- Industrial and Manufacturing Engineering 63
- Social Psychology 48
- Radiological and Ultrasound Technology 47
- Human-Computer Interaction 40
Countries citing papers authored by Alberto Martinetti
This map shows the geographic impact of Alberto Martinetti'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 Alberto Martinetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Martinetti more than expected).
Fields of papers citing papers by Alberto Martinetti
This network shows the impact of papers produced by Alberto Martinetti. 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 Alberto Martinetti. The network helps show where Alberto Martinetti may publish in the future.
Co-authorship network of co-authors of Alberto Martinetti
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Martinetti. A scholar is included among the top collaborators of Alberto Martinetti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alberto Martinetti. Alberto Martinetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 36 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | 2 |
About Alberto Martinetti
Alberto Martinetti is a scholar working on Medical Laboratory Technology, Radiological and Ultrasound Technology and Industrial and Manufacturing Engineering, having authored 48 papers that have together received 355 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (9 papers), Occupational Health and Safety Research (7 papers) and Digital Transformation in Industry (7 papers). The work is most often cited by research in Medical Laboratory Technology (33 citations), Radiological and Ultrasound Technology (47 citations) and Human-Computer Interaction (40 citations). Alberto Martinetti has collaborated with scholars based in Netherlands, United Kingdom and Italy. Frequent co-authors include Leo van Dongen, Kostas Nizamis, Peter Chemweno, Eduard Fosch‐Villaronga, Maria Mikela Chatzimichailidou, Sarbjeet Singh, Sebastian Thiede, Jan Braaksma, Arnab Majumdar and Florian Schuberth. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.