Giovanni Dimauro
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 2%
- Information Systems top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Ecology top 10%
- Co-authors
- Giuseppe PirloS. ImpedovoDanilo CaivanoFrancesco GirardiVitoantonio BevilacquaRosalia MagliettaA. SalzoVito Renò
- Topics
- Handwritten Text Recognition Techniques (23 papers)Marine animal studies overview (15 papers)Online and Blended Learning (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
In The Last Decade
Giovanni Dimauro
112 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Vision and Pattern Recognition 656
- Artificial Intelligence 501
- Information Systems 213
- Radiology, Nuclear Medicine and Imaging 154
- Ecology 152
Countries citing papers authored by Giovanni Dimauro
This map shows the geographic impact of Giovanni Dimauro'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 Giovanni Dimauro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Dimauro more than expected).
Fields of papers citing papers by Giovanni Dimauro
This network shows the impact of papers produced by Giovanni Dimauro. 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 Giovanni Dimauro. The network helps show where Giovanni Dimauro may publish in the future.
Co-authorship network of co-authors of Giovanni Dimauro
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Dimauro. A scholar is included among the top collaborators of Giovanni Dimauro 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 Giovanni Dimauro. Giovanni Dimauro 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 | 0 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 55 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 21 | |
| 15 | 47 | |
| 16 | 17 | |
| 17 | The Educational Cloud, Problems and Perspectives | 1 |
| 18 | e-learning at the University of Bari: the PROTEO project | 0 |
| 19 | A NEW HYBRID APPROACH FOR LEGAL AMOUNT RECOGNITION | 8 |
| 20 | Comparison between numbers in the RNS: a new approach to solve the problem | 2 |
About Giovanni Dimauro
Giovanni Dimauro is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Science Applications, having authored 130 papers that have together received 1.9k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (23 papers), Marine animal studies overview (15 papers) and Online and Blended Learning (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (656 citations), Media Technology (150 citations) and Health Informatics (23 citations). Giovanni Dimauro has collaborated with scholars based in Italy, Spain and Ghana. Frequent co-authors include Giuseppe Pirlo, S. Impedovo, Danilo Caivano, Francesco Girardi, Vitoantonio Bevilacqua, Rosalia Maglietta, A. Salzo, Vito Renò, Attilio Guarini and Lucio Colizzi. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.
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.