Grazia Cicirelli
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Tiziana D’OrazioRoberto MaraniAnnalisa MilellaArcangelo DistanteA. DistanteDonato Di PaolaAntonio PetittiEttore Stella
- Topics
- Robotics and Sensor-Based Localization (22 papers)Robotic Path Planning Algorithms (18 papers)Human Pose and Action Recognition (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionPhysical Therapy, Sports Therapy and Rehabilitation
- Partner nations
- ItalyUnited StatesMexico
In The Last Decade
Grazia Cicirelli
62 papers receiving 922 citations
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 510
- Biomedical Engineering 171
- Aerospace Engineering 141
- Electrical and Electronic Engineering 138
- Artificial Intelligence 123
Countries citing papers authored by Grazia Cicirelli
This map shows the geographic impact of Grazia Cicirelli'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 Grazia Cicirelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grazia Cicirelli more than expected).
Fields of papers citing papers by Grazia Cicirelli
This network shows the impact of papers produced by Grazia Cicirelli. 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 Grazia Cicirelli. The network helps show where Grazia Cicirelli may publish in the future.
Co-authorship network of co-authors of Grazia Cicirelli
This figure shows the co-authorship network connecting the top 25 collaborators of Grazia Cicirelli. A scholar is included among the top collaborators of Grazia Cicirelli 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 Grazia Cicirelli. Grazia Cicirelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 26 | |
| 5 | 109 | |
| 6 | 125 | |
| 7 | 19 | |
| 8 | 39 | |
| 9 | 3 | |
| 10 | 28 | |
| 11 | 5 | |
| 12 | RFID tag bearing estimation for mobile robot localization | 20 |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 32 | |
| 16 | Laser-based people-following for human-augmented mapping of indoor environments | 13 |
| 17 | 11 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | 38 |
About Grazia Cicirelli
Grazia Cicirelli is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Geology, having authored 66 papers that have together received 986 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (22 papers), Robotic Path Planning Algorithms (18 papers) and Human Pose and Action Recognition (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (510 citations), Human-Computer Interaction (120 citations) and Physical Therapy, Sports Therapy and Rehabilitation (43 citations). Grazia Cicirelli has collaborated with scholars based in Italy, United States and Mexico. Frequent co-authors include Tiziana D’Orazio, Roberto Marani, Annalisa Milella, Arcangelo Distante, A. Distante, Donato Di Paola, Antonio Petitti, Ettore Stella, Nicola Ancona and Massimiliano Nitti. Their work appears in journals such as IEEE Access, Sensors and Pattern Recognition.
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.