Alessandro Checco

1.0k total citations
42 papers, 583 citations indexed

About

Alessandro Checco is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Alessandro Checco has authored 42 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Science Applications, 13 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Alessandro Checco's work include Mobile Crowdsensing and Crowdsourcing (18 papers), Auction Theory and Applications (9 papers) and Wireless Networks and Protocols (6 papers). Alessandro Checco is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (18 papers), Auction Theory and Applications (9 papers) and Wireless Networks and Protocols (6 papers). Alessandro Checco collaborates with scholars based in United Kingdom, Italy and Australia. Alessandro Checco's 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 and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE/ACM Transactions on Networking and Journal of the Association for Information Systems.

In The Last Decade

Alessandro Checco

41 papers receiving 559 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alessandro Checco United Kingdom 14 193 191 128 105 89 42 583
Sujit Gujar India 9 144 0.7× 157 0.8× 92 0.7× 33 0.3× 101 1.1× 48 440
Philipp Schmidt Germany 9 19 0.1× 220 1.2× 87 0.7× 39 0.4× 98 1.1× 14 520
Josephina Antoniou Cyprus 11 25 0.1× 77 0.4× 151 1.2× 117 1.1× 35 0.4× 40 402
Jean Carlo Rossa Hauck Brazil 13 323 1.7× 73 0.4× 33 0.3× 23 0.2× 244 2.7× 74 645
Mathias Humbert Switzerland 17 47 0.2× 545 2.9× 60 0.5× 40 0.4× 121 1.4× 44 751
Konstantinos I. Roumeliotis Greece 9 50 0.3× 244 1.3× 24 0.2× 16 0.2× 91 1.0× 22 552
Arik Friedman Australia 10 104 0.5× 631 3.3× 116 0.9× 52 0.5× 216 2.4× 25 751
Kalapriya Kannan India 7 20 0.1× 259 1.4× 141 1.1× 39 0.4× 130 1.5× 24 605
Andrea Vázquez‐Ingelmo Spain 13 151 0.8× 114 0.6× 50 0.4× 6 0.1× 147 1.7× 56 528

Countries citing papers authored by Alessandro Checco

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Zamani, Efpraxia D., et al.. (2025). Integrating UTAUT and social exchange theory to decipher knowledge-sharing in crowdsourcing. Humanities and Social Sciences Communications. 12(1). 2 indexed citations
2.
3.
Checco, Alessandro, et al.. (2024). Network Connectivity and Sensor Response of an OpenThread WSN Platform for Crop Monitoring. IRIS Research product catalog (Sapienza University of Rome). 2(2). 218–225. 3 indexed citations
4.
Checco, Alessandro, et al.. (2023). A OpenThread WSN Prototype for the Monitoring of Crops. IRIS Research product catalog (Sapienza University of Rome). 16. 157–161. 1 indexed citations
5.
Maddalena, Eddy, et al.. (2023). The Dark Side of Recruitment in Crowdsourcing: Ethics and Transparency in Micro-Task Marketplaces. Computer Supported Cooperative Work (CSCW). 32(3). 439–474. 2 indexed citations
6.
Bates, Jo, et al.. (2023). Addressing labour exploitation in the data science pipeline: views of precarious US-based crowdworkers on adversarial and co-operative interventions. Journal of Information Communication and Ethics in Society. 21(3). 342–357. 2 indexed citations
7.
Cox, Andrew, et al.. (2022). Criteria of quality in fiction-based research to promote debate about the use of AI and robots in Higher Education. Higher Education Research & Development. 42(3). 559–573. 7 indexed citations
8.
Checco, Alessandro, et al.. (2021). Design Principles and a Conceptual Framework for Crowd Teamwork Systems. Journal of the Association for Information Systems. 214. 1 indexed citations
9.
Checco, Alessandro, Lorenzo Bracciale, Douglas J. Leith, & Giuseppe Bianchi. (2021). OpenNym: Privacy preserving recommending via pseudonymous group authentication. Security and Privacy. 5(2). 1 indexed citations
10.
Han, Lei, Alessandro Checco, Djellel Difallah, Gianluca Demartini, & Shazia Sadiq. (2020). Modelling User Behavior Dynamics with Embeddings. IRIS Research product catalog (Sapienza University of Rome). 445–454. 5 indexed citations
11.
Han, Lei, Eddy Maddalena, Alessandro Checco, et al.. (2020). Crowd Worker Strategies in Relevance Judgment Tasks. Institutional Research Information System (University of Udine). 241–249. 22 indexed citations
12.
Han, Lei, Kevin Roitero, Ujwal Gadiraju, et al.. (2019). The Impact of Task Abandonment in Crowdsourcing. IEEE Transactions on Knowledge and Data Engineering. 1–1. 27 indexed citations
13.
Checco, Alessandro, et al.. (2018). Updating Neighbour Cell List via Crowdsourced User Reports: A Framework for Measuring Time Performance. Wireless Communications and Mobile Computing. 2018(1). 1 indexed citations
14.
Sarasua, Cristina, et al.. (2018). The Evolution of Power and Standard Wikidata Editors: Comparing Editing Behavior over Time to Predict Lifespan and Volume of Edits. Computer Supported Cooperative Work (CSCW). 28(5). 843–882. 10 indexed citations
15.
Gadiraju, Ujwal, Alessandro Checco, Neha Gupta, & Gianluca Demartini. (2017). Modus Operandi of Crowd Workers. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 1(3). 1–29. 33 indexed citations
16.
Leith, Douglas J., et al.. (2017). Recommending access points to individual mobile users via automatic group learning. 1–6. 1 indexed citations
17.
Bellalta, Boris, et al.. (2014). Channel Bonding in Short-Range WLANs. European Wireless Conference. 1–7. 17 indexed citations
18.
Checco, Alessandro & Douglas J. Leith. (2014). Fair Virtualization of 802.11 Networks. IEEE/ACM Transactions on Networking. 23(1). 148–160. 9 indexed citations
19.
Checco, Alessandro, Rouzbeh Razavi, Douglas J. Leith, & Holger Claußen. (2012). Self-configuration of scrambling codes for WCDMA small cell networks. IRIS Research product catalog (Sapienza University of Rome). 7 indexed citations
20.
Checco, Alessandro & Douglas J. Leith. (2011). Proportional Fairness in 802.11 Wireless LANs. IEEE Communications Letters. 15(8). 807–809. 27 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sujit Gujar Breakdown of academic impact, for papers by Philipp Schmidt Breakdown of academic impact, for papers by Josephina Antoniou Breakdown of academic impact, for papers by Jean Carlo Rossa Hauck Breakdown of academic impact, for papers by Mathias Humbert Breakdown of academic impact, for papers by Konstantinos I. Roumeliotis Breakdown of academic impact, for papers by Arik Friedman Breakdown of academic impact, for papers by Kalapriya Kannan Breakdown of academic impact, for papers by Andrea Vázquez‐Ingelmo
Rankless by CCL
2026