Francesco De Pace
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Industrial and Manufacturing Engineering top 5%
- Mechanical Engineering
- Control and Systems Engineering
- Co-authors
- Andrea SannaFederico ManuriC. FornaroHuidong BaiMark BillinghurstMinas LiarokapisHannes KaufmannAlberto Cannavò
- Topics
- Augmented Reality Applications (14 papers)Virtual Reality Applications and Impacts (11 papers)Teleoperation and Haptic Systems (6 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Partner nations
- ItalyAustriaNew Zealand
In The Last Decade
Francesco De Pace
22 papers receiving 312 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 164
- Human-Computer Interaction 126
- Industrial and Manufacturing Engineering 77
- Mechanical Engineering 52
- Control and Systems Engineering 48
Countries citing papers authored by Francesco De Pace
This map shows the geographic impact of Francesco De Pace'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 Francesco De Pace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco De Pace more than expected).
Fields of papers citing papers by Francesco De Pace
This network shows the impact of papers produced by Francesco De Pace. 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 Francesco De Pace. The network helps show where Francesco De Pace may publish in the future.
Co-authorship network of co-authors of Francesco De Pace
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco De Pace. A scholar is included among the top collaborators of Francesco De Pace 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 Francesco De Pace. Francesco De Pace 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 16 | |
| 10 | 21 | |
| 11 | 19 | |
| 12 | 18 | |
| 13 | 64 | |
| 14 | 7 | |
| 15 | 8 | |
| 16 | 31 | |
| 17 | 3 | |
| 18 | 37 | |
| 19 | 83 | |
| 20 | 2 |
About Francesco De Pace
Francesco De Pace is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Geology, having authored 22 papers that have together received 334 indexed citations. Recurring topics across this work include Augmented Reality Applications (14 papers), Virtual Reality Applications and Impacts (11 papers) and Teleoperation and Haptic Systems (6 papers). The work is most often cited by research in Human-Computer Interaction (126 citations), Computer Vision and Pattern Recognition (164 citations) and Industrial and Manufacturing Engineering (77 citations). Francesco De Pace has collaborated with scholars based in Italy, Austria and New Zealand. Frequent co-authors include Andrea Sanna, Federico Manuri, C. Fornaro, Huidong Bai, Mark Billinghurst, Minas Liarokapis, Hannes Kaufmann, Alberto Cannavò, Fabrizio Lamberti and Stephen Robinson. Their work appears in journals such as IEEE Access, Sensors and Computers & Industrial 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.