Alessandro Checco
- Computer Science Applications top 2%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Co-authors
- Gianluca DemartiniDouglas J. LeithGiuseppe BianchiStephen PinfieldLorenzo BraccialePierpaolo LoretiUjwal GadirajuKevin Roitero
- Topics
- Mobile Crowdsensing and Crowdsourcing (18 papers)Auction Theory and Applications (9 papers)Wireless Networks and Protocols (6 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringIEEE/ACM Transactions on NetworkingJournal of the Association for Information Systems
- Partner nations
- United KingdomItalyAustralia
In The Last Decade
Alessandro Checco
41 papers receiving 559 citations
Peers
Comparison fields: 5 of 83
- Computer Science Applications 193
- Artificial Intelligence 191
- Computer Networks and Communications 128
- Electrical and Electronic Engineering 105
- Information Systems 89
Countries citing papers authored by Alessandro Checco
This map shows the geographic impact of Alessandro Checco'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 Alessandro Checco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Checco more than expected).
Fields of papers citing papers by Alessandro Checco
This network shows the impact of papers produced by Alessandro Checco. 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 Alessandro Checco. The network helps show where Alessandro Checco may publish in the future.
Co-authorship network of co-authors of Alessandro Checco
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Checco. A scholar is included among the top collaborators of Alessandro Checco 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 Alessandro Checco. Alessandro Checco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | Design Principles and a Conceptual Framework for Crowd Teamwork Systems | 1 |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 22 | |
| 12 | 27 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 33 | |
| 16 | 1 | |
| 17 | Channel Bonding in Short-Range WLANs | 17 |
| 18 | 9 | |
| 19 | 7 | |
| 20 | 27 |
About Alessandro Checco
Alessandro Checco is a scholar working on Computer Science Applications, Health Informatics and Management Science and Operations Research, having authored 42 papers that have together received 583 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (18 papers), Auction Theory and Applications (9 papers) and Wireless Networks and Protocols (6 papers). The work is most often cited by research in Health Informatics (64 citations), Computer Science Applications (193 citations) and Safety Research (66 citations). Alessandro Checco has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include Gianluca Demartini, Douglas J. Leith, Giuseppe Bianchi, Stephen Pinfield, Lorenzo Bracciale, Pierpaolo Loreti, Ujwal Gadiraju, Kevin Roitero, Eddy Maddalena and Boris Bellalta. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE/ACM Transactions on Networking and Journal of the Association for Information 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.