Eddy Maddalena

722 total citations
31 papers, 399 citations indexed

About

Eddy Maddalena is a scholar working on Computer Science Applications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Eddy Maddalena has authored 31 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Science Applications, 12 papers in Information Systems and 12 papers in Artificial Intelligence. Recurrent topics in Eddy Maddalena's work include Mobile Crowdsensing and Crowdsourcing (21 papers), Information Retrieval and Search Behavior (8 papers) and Auction Theory and Applications (6 papers). Eddy Maddalena is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (21 papers), Information Retrieval and Search Behavior (8 papers) and Auction Theory and Applications (6 papers). Eddy Maddalena collaborates with scholars based in Italy, United Kingdom and Australia. Eddy Maddalena's co-authors include Stefano Mizzaro, Kevin Roitero, Gianluca Demartini, Falk Scholer, Andrew Turpin, Alessandro Checco, Lei Han, Cristina Sarasua, Ujwal Gadiraju and Vincenzo Della Mea and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Knowledge and Data Engineering and Information Processing & Management.

In The Last Decade

Eddy Maddalena

29 papers receiving 385 citations

Peers

Eddy Maddalena

CSA

MSOR

SPS

Ricardo Kawase Germany

Jonathan Bragg United States

Pavel Kucherbaev Italy

Kevin Roitero Italy

Chien-Ju Ho United States

Indriana Hidayah Indonesia

Joseph Chee Chang United States

Christoph Rensing Germany

Daniel Alexander Smith United Kingdom

Daniel Krause Germany

Ricardo Kawase Germany

Eddy Maddalena

274 ×1.3

CSA

230 ×1.2

130 ×0.9

66 ×0.8

MSOR

82 ×1.7

SPS

Citations per year, relative to Eddy Maddalena Eddy Maddalena (= 1×) peers Ricardo Kawase

Countries citing papers authored by Eddy Maddalena

Since Specialization

Citations

This map shows the geographic impact of Eddy Maddalena'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 Eddy Maddalena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eddy Maddalena more than expected).

Fields of papers citing papers by Eddy Maddalena

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eddy Maddalena. 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 Eddy Maddalena. The network helps show where Eddy Maddalena may publish in the future.

Co-authorship network of co-authors of Eddy Maddalena

This figure shows the co-authorship network connecting the top 25 collaborators of Eddy Maddalena. A scholar is included among the top collaborators of Eddy Maddalena 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 Eddy Maddalena. Eddy Maddalena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Roitero, Kevin, et al.. (2024). Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing Platforms. 7(1-4). 1–49.

Maddalena, Eddy, Kevin Roitero, Gianluca Demartini, et al.. (2024). Crowdsourced Fact-checking: Does It Actually Work?. Information Processing & Management. 61(5). 103792–103792. 7 indexed citations

Maddalena, Eddy, et al.. (2023). Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives. ACM Transactions on Intelligent Systems and Technology. 14(5). 1–26. 3 indexed citations

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

Caputo, Alessandro, Eddy Maddalena, Ilaria Girolami, et al.. (2023). Digital pathology world tour. Digital Health. 9. 589838263–589838263. 22 indexed citations

Baroni, Ilaria, Eddy Maddalena, Elena Simperl, et al.. (2022). Participatory Science Toolkit Against Pollution. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Roitero, Kevin, Eddy Maddalena, Stefano Mizzaro, & Falk Scholer. (2021). On the effect of relevance scales in crowdsourcing relevance assessments for Information Retrieval evaluation. Information Processing & Management. 58(6). 102688–102688. 17 indexed citations

Vougiouklis, Pavlos, Eddy Maddalena, Jonathon Hare, & Elena Simperl. (2020). Point at the Triple: Generation of Text Summaries from Knowledge Base Triples (Extended Abstract). Institutional Research Information System (University of Udine). 5080–5084. 1 indexed citations

Vougiouklis, Pavlos, Eddy Maddalena, Jonathon Hare, & Elena Simperl. (2020). Point at the Triple: Generation of Text Summaries from Knowledge Base Triples. Journal of Artificial Intelligence Research. 69. 1–31. 7 indexed citations

10.

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

11.

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

12.

Han, Lei, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, & Gianluca Demartini. (2019). On Transforming Relevance Scales. Institutional Research Information System (University of Udine). 39–48. 9 indexed citations

13.

Roitero, Kevin, et al.. (2018). IRevalOO. Institutional Research Information System (University of Udine). 913–916. 1 indexed citations

14.

Maddalena, Eddy, Davide Ceolin, & Stefano Mizzaro. (2018). Multidimensional news quality: A comparison of crowdsourcing and nichesourcing. ePrints Soton (University of Southampton). 3 indexed citations

15.

Maddalena, Eddy, Stefano Mizzaro, Falk Scholer, & Andrew Turpin. (2017). On Crowdsourcing Relevance Magnitudes for Information Retrieval Evaluation. ACM Transactions on Information Systems. 35(3). 1–32. 80 indexed citations

16.

Checco, Alessandro, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, & Gianluca Demartini. (2017). Let's Agree to Disagree: Fixing Agreement Measures for Crowdsourcing. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 5. 11–20. 25 indexed citations

17.

Basaldella, Marco, et al.. (2016). Towards building a standard dataset for Arabic keyphrase extraction evaluation. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 26–29. 4 indexed citations

18.

Turpin, Andrew, Falk Scholer, Stefano Mizzaro, & Eddy Maddalena. (2015). The Benefits of Magnitude Estimation Relevance Assessments for Information Retrieval Evaluation. Institutional Research Information System (University of Udine). 565–574. 24 indexed citations

19.

Mea, Vincenzo Della, Eddy Maddalena, & Stefano Mizzaro. (2014). Mobile crowdsourcing: four experiments on platforms and tasks. Distributed and Parallel Databases. 33(1). 123–141. 7 indexed citations

20.

Scholer, Falk, Eddy Maddalena, Stefano Mizzaro, & Andrew Turpin. (2014). Magnitudes of relevance: relevance judgements, magnitude estimation, and crowdsourcing. RMIT Research Repository (RMIT University Library). 9–16. 3 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