Valentino Crespi
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Neurology
- Co-authors
- George CybenkoDaniela RusZack ButlerJaved AslamFlorin ConstantinKristina LermanAram GalstyanG Tredici
- Topics
- Target Tracking and Data Fusion in Sensor Networks (7 papers)Graph theory and applications (4 papers)Advanced Database Systems and Queries (4 papers)
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceDiscrete Mathematics and Combinatorics
- Journals
- Journal of Clinical OncologyIEEE Transactions on Information TheoryJournal of Neurology Neurosurgery & Psychiatry
- Partner nations
- United StatesItalyMexico
In The Last Decade
Valentino Crespi
30 papers receiving 680 citations
Peers
Comparison fields: 5 of 133
- Computer Networks and Communications 341
- Artificial Intelligence 200
- Electrical and Electronic Engineering 160
- Computer Vision and Pattern Recognition 64
- Neurology 48
Countries citing papers authored by Valentino Crespi
This map shows the geographic impact of Valentino Crespi'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 Valentino Crespi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentino Crespi more than expected).
Fields of papers citing papers by Valentino Crespi
This network shows the impact of papers produced by Valentino Crespi. 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 Valentino Crespi. The network helps show where Valentino Crespi may publish in the future.
Co-authorship network of co-authors of Valentino Crespi
This figure shows the co-authorship network connecting the top 25 collaborators of Valentino Crespi. A scholar is included among the top collaborators of Valentino Crespi 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 Valentino Crespi. Valentino Crespi 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 | 11 | |
| 3 | 0 | |
| 4 | 68 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | Assessment and Accreditation of Computer Science Undergraduate Program. | 0 |
| 8 | 34 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | Computation of the Lovász Theta Function for Circulant Graphs | 1 |
| 12 | 12 | |
| 13 | 8 | |
| 14 | 15 | |
| 15 | 42 | |
| 16 | Computing Groebner Bases in the Boolean Setting with Applications to Counting. | 2 |
| 17 | 25 | |
| 18 | 71 | |
| 19 | 4 | |
| 20 | 7 |
About Valentino Crespi
Valentino Crespi is a scholar working on Chemical Health and Safety, Discrete Mathematics and Combinatorics and Computer Networks and Communications, having authored 32 papers that have together received 734 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (7 papers), Graph theory and applications (4 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Computer Networks and Communications (341 citations), Artificial Intelligence (200 citations) and Discrete Mathematics and Combinatorics (16 citations). Valentino Crespi has collaborated with scholars based in United States, Italy and Mexico. Frequent co-authors include George Cybenko, Daniela Rus, Zack Butler, Javed Aslam, Florin Constantin, Kristina Lerman, Aram Galstyan, G Tredici, G. Bogliun and Diego Hernando. Their work appears in journals such as Journal of Clinical Oncology, IEEE Transactions on Information Theory and Journal of Neurology Neurosurgery & Psychiatry.
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.