Carlotta Orsenigo
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Carlo VercellisMasoud JalayerVincenzo ButticèMassimo G. ColomboElena FumagalliErik CambriaFrank XingLorenzo Malandri
- Topics
- Face and Expression Recognition (6 papers)Imbalanced Data Classification Techniques (6 papers)Machine Learning and ELM (3 papers)
- Journals
- Expert Systems with ApplicationsPattern RecognitionTechnological Forecasting and Social Change
- Partner nations
- ItalyUnited StatesSingapore
In The Last Decade
Carlotta Orsenigo
25 papers receiving 727 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 259
- Control and Systems Engineering 224
- Mechanical Engineering 108
- Signal Processing 101
- Computer Vision and Pattern Recognition 82
Countries citing papers authored by Carlotta Orsenigo
This map shows the geographic impact of Carlotta Orsenigo'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 Carlotta Orsenigo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlotta Orsenigo more than expected).
Fields of papers citing papers by Carlotta Orsenigo
This network shows the impact of papers produced by Carlotta Orsenigo. 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 Carlotta Orsenigo. The network helps show where Carlotta Orsenigo may publish in the future.
Co-authorship network of co-authors of Carlotta Orsenigo
This figure shows the co-authorship network connecting the top 25 collaborators of Carlotta Orsenigo. A scholar is included among the top collaborators of Carlotta Orsenigo 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 Carlotta Orsenigo. Carlotta Orsenigo 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 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 21 | |
| 6 | 23 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transformsbreakdown → | 259 |
| 10 | 2 | |
| 11 | 59 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 37 | |
| 15 | 16 | |
| 16 | 84 | |
| 17 | 14 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 31 |
About Carlotta Orsenigo
Carlotta Orsenigo is a scholar working on Human-Computer Interaction, Artificial Intelligence and Signal Processing, having authored 28 papers that have together received 753 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Imbalanced Data Classification Techniques (6 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Control and Systems Engineering (224 citations), Signal Processing (101 citations) and Artificial Intelligence (259 citations). Carlotta Orsenigo has collaborated with scholars based in Italy, United States and Singapore. Frequent co-authors include Carlo Vercellis, Masoud Jalayer, Vincenzo Butticè, Massimo G. Colombo, Elena Fumagalli, Erik Cambria, Frank Xing, Lorenzo Malandri, Peter A. Gloor and Amin Kaboli. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and Technological Forecasting and Social Change.
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.