Kevin Roitero

966 total citations
51 papers, 430 citations indexed

About

Kevin Roitero is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Kevin Roitero has authored 51 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 22 papers in Computer Science Applications and 18 papers in Information Systems. Recurrent topics in Kevin Roitero's work include Mobile Crowdsensing and Crowdsourcing (22 papers), Topic Modeling (15 papers) and Expert finding and Q&A systems (11 papers). Kevin Roitero is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (22 papers), Topic Modeling (15 papers) and Expert finding and Q&A systems (11 papers). Kevin Roitero collaborates with scholars based in Italy, Australia and United Kingdom. Kevin Roitero's co-authors include Stefano Mizzaro, Gianluca Demartini, Eddy Maddalena, Alessandro Checco, Vincenzo Della Mea, Lei Han, Cristina Sarasua, Damiano Spina, Ujwal Gadiraju and Davide Ceolin and has published in prestigious journals such as Communications of the ACM, IEEE Access and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Kevin Roitero

48 papers receiving 415 citations

Peers

Kevin Roitero

CSA

SPS

MSOR

Eddy Maddalena Italy

Abdallah Yousif China

Sahil Verma India

Dominik Kowald Austria

Changtao Qu Germany

Bernardo Pereira Nunes Brazil

Yejin Bang Hong Kong

Matthias Hagen Germany

Praveen Chandar United States

Heinz Dreher Australia

Eddy Maddalena Italy

Kevin Roitero

193 ×0.8

207 ×1.2

CSA

146 ×1.0

47 ×0.4

SPS

78 ×1.0

MSOR

Citations per year, relative to Kevin Roitero Kevin Roitero (= 1×) peers Eddy Maddalena

Countries citing papers authored by Kevin Roitero

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Roitero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Roitero

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

All Works

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20 of 20 papers shown

Roitero, Kevin, et al.. (2025). Mapping and Influencing the Political Ideology of Large Language Models using Synthetic Personas. Institutional Research Information System (University of Udine). 864–867. 1 indexed citations

Roitero, Kevin, et al.. (2025). Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking. VBN Forskningsportal (Aalborg Universitet). 457–467.

Zhuang, Mengdie, et al.. (2025). Impersonating the Crowd: Evaluating LLMs' Ability to Replicate Human Judgment in Misinformation Assessment. Institutional Research Information System (University of Udine). 12–21. 1 indexed citations

Amit, Guy, et al.. (2025). SNOMED CT entity linking challenge. Journal of the American Medical Informatics Association. 32(9). 1397–1406. 1 indexed citations

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

Roitero, Kevin, et al.. (2024). The Elusiveness of Detecting Political Bias in Language Models. Institutional Research Information System (University of Udine). 3922–3926. 2 indexed citations

Roitero, Kevin, et al.. (2024). Cognitive Biases in Fact-Checking and Their Countermeasures: A Review. Information Processing & Management. 61(3). 103672–103672. 18 indexed citations

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

Gaspero, Luca Di, Kevin Roitero, Stefano Mizzaro, et al.. (2024). Supporting Fair and Efficient Emergency Medical Services in a Large Heterogeneous Region. PubMed. 8(2). 400–437. 5 indexed citations

10.

Roitero, Kevin, et al.. (2024). Generative AI for Energy: Multi-Horizon Power Consumption Forecasting using Large Language Models. Institutional Research Information System (University of Udine). 4015–4019. 1 indexed citations

11.

Roitero, Kevin, et al.. (2024). Combining Large Language Models and Crowdsourcing for Hybrid Human-AI Misinformation Detection. 2332–2336. 5 indexed citations

12.

Roitero, Kevin, Giuseppe Serra, Vincenzo Della Mea, et al.. (2023). Detection of Wastewater Pollution Through Natural Language Generation With a Low-Cost Sensing Platform. IEEE Access. 11. 50272–50284. 4 indexed citations

13.

Roitero, Kevin, et al.. (2023). How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments. ACM Transactions on Information Systems. 42(1). 1–26. 4 indexed citations

14.

Roitero, Kevin, et al.. (2023). Automated ICF Coding of Rehabilitation Notes for Low-Resource Languages via Continual Training of Language Models. Studies in health technology and informatics. 302. 763–767.

15.

Ceschia, Sara, Kevin Roitero, Gianluca Demartini, et al.. (2022). Task design in complex crowdsourcing experiments: Item assignment optimization. Computers & Operations Research. 148. 105995–105995. 6 indexed citations

16.

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

17.

Roitero, Kevin, et al.. (2021). DiLBERT: Cheap Embeddings for Disease Related Medical NLP. IEEE Access. 9. 159714–159723. 10 indexed citations

18.

Roitero, Kevin, et al.. (2021). The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale. Information Processing & Management. 58(6). 102710–102710. 39 indexed citations

19.

Roitero, Kevin, Gianluca Demartini, Stefano Mizzaro, & Damiano Spina. (2018). How many truth levels? Six? One hundred? Even more? Validating truthfulness of statements via crowdsourcing. Institutional Research Information System (University of Udine). 2482. 5 indexed citations

20.

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

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