Daniele Tessera
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Co-authors
- Maria Carla CalzarossaLuisa MassariMarco L. Della VedovaDaniele TotiEnrico BarbieratoAnshu DubeyJoe WeinmanNicola Coppedé
- Topics
- Cloud Computing and Resource Management (11 papers)Distributed and Parallel Computing Systems (7 papers)Web Data Mining and Analysis (7 papers)
- Partner nations
- ItalyJapanUnited States
In The Last Decade
Daniele Tessera
27 papers receiving 258 citations
Peers
Comparison fields: 5 of 61
- Computer Networks and Communications 180
- Information Systems 169
- Artificial Intelligence 54
- Hardware and Architecture 22
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Daniele Tessera
This map shows the geographic impact of Daniele Tessera'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 Daniele Tessera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Tessera more than expected).
Fields of papers citing papers by Daniele Tessera
This network shows the impact of papers produced by Daniele Tessera. 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 Daniele Tessera. The network helps show where Daniele Tessera may publish in the future.
Co-authorship network of co-authors of Daniele Tessera
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Tessera. A scholar is included among the top collaborators of Daniele Tessera 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 Daniele Tessera. Daniele Tessera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 20 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 94 | |
| 12 | 6 | |
| 13 | 18 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | An exploratory analysis of the novelty of a news Web site | 5 |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | 13 |
About Daniele Tessera
Daniele Tessera is a scholar working on Information Systems, Computer Networks and Communications and Hardware and Architecture, having authored 28 papers that have together received 272 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (11 papers), Distributed and Parallel Computing Systems (7 papers) and Web Data Mining and Analysis (7 papers). The work is most often cited by research in Computer Networks and Communications (180 citations), Information Systems (169 citations) and Hardware and Architecture (22 citations). Daniele Tessera has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Maria Carla Calzarossa, Luisa Massari, Marco L. Della Vedova, Daniele Toti, Enrico Barbierato, Anshu Dubey, Joe Weinman, Nicola Coppedé, M. Bettelli and Andrea Pozzi. Their work appears in journals such as IEEE Access, ACM Computing Surveys and Future Generation Computer Systems.
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.