Matteo Rizzo

1.0k total citations · 1 hit paper
31 papers, 584 citations indexed

About

Matteo Rizzo is a scholar working on Sociology and Political Science, Artificial Intelligence and Anthropology. According to data from OpenAlex, Matteo Rizzo has authored 31 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 6 papers in Artificial Intelligence and 5 papers in Anthropology. Recurrent topics in Matteo Rizzo's work include African history and culture studies (4 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Multiculturalism, Politics, Migration, Gender (3 papers). Matteo Rizzo is often cited by papers focused on African history and culture studies (4 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Multiculturalism, Politics, Migration, Gender (3 papers). Matteo Rizzo collaborates with scholars based in United Kingdom, Canada and Italy. Matteo Rizzo's co-authors include Maurizio Atzeni, Andrea Gasparetto, Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli, Marc Wuyts, Lorenzo Cotula, Carlos Oya, James F. Keeley and Emmanuel A. Codjoe and has published in prestigious journals such as BMC Medical Research Methodology, Frontiers in Human Neuroscience and Alzheimer s & Dementia.

In The Last Decade

Matteo Rizzo

28 papers receiving 507 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fruit ripeness classification: A survey

2023 82 citations Matteo Rizzo, Matteo Marcuzzo et al. Artificial Intelligence in Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matteo Rizzo United Kingdom	13	144	110	79	73	65	31	584
Elizabeth Hull United Kingdom	11	115 0.8×	100 0.9×	22 0.3×	21 0.3×	19 0.3×	31	617
Aree Wiboonpongse Thailand	11	51 0.4×	128 1.2×	41 0.5×	13 0.2×	25 0.4×	36	428
P. J. Lund United Kingdom	9	68 0.5×	106 1.0×	34 0.4×	6 0.1×	31 0.5×	28	639
G. S. Bhalla India	10	100 0.7×	144 1.3×	94 1.2×	5 0.1×	28 0.4×	31	320
Amalendu Jyotishi India	8	43 0.3×	65 0.6×	39 0.5×	4 0.1×	12 0.2×	51	272
Christoph Bader Switzerland	9	89 0.6×	36 0.3×	25 0.3×	9 0.1×	35 0.5×	21	263
Tianjun Liu China	10	50 0.3×	95 0.9×	35 0.4×	3 0.0×	16 0.2×	25	515
Graham Clarke United Kingdom	8	35 0.2×	29 0.3×	9 0.1×	13 0.2×	8 0.1×	12	382
Imran Hussain India	10	51 0.4×	60 0.5×	39 0.5×	2 0.0×	10 0.2×	45	437
Marco Dueñas Italy	9	20 0.1×	27 0.2×	11 0.1×	7 0.1×	13 0.2×	20	385

Countries citing papers authored by Matteo Rizzo

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Rizzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Rizzo

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Rizzo. A scholar is included among the top collaborators of Matteo Rizzo 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 Matteo Rizzo. Matteo Rizzo 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

1.

Rizzo, Matteo, et al.. (2025). Leveraging Periodicity for Tabular Deep Learning. Electronics. 14(6). 1165–1165.

2.

Rizzo, Matteo, Matteo Marcuzzo, Alessandro Zangari, et al.. (2025). Machine learning models explanations as interpretations of evidence: a theoretical framework of explainability and its implications on high-stakes biomedical decision-making. BMC Medical Research Methodology. 25(S1). 282–282.

3.

Rizzo, Matteo, et al.. (2024). A comparison of critical power and the respiratory compensation point at slower and faster pedaling cadences. Applied Physiology Nutrition and Metabolism. 50. 1–10. 1 indexed citations

4.

Zangari, Alessandro, et al.. (2024). Hierarchical Text Classification and Its Foundations: A Review of Current Research. Electronics. 13(7). 1199–1199. 7 indexed citations

5.

Rizzo, Matteo, Matteo Marcuzzo, Alessandro Zangari, Andrea Gasparetto, & Andrea Albarelli. (2023). Fruit ripeness classification: A survey. Artificial Intelligence in Agriculture. 7. 44–57. 82 indexed citations breakdown →

6.

Rizzo, Matteo, Cristina Conati, Daesik Jang, & Hui Hu. (2023). Cascading convolutional temporal color constancy. Journal of Electronic Imaging. 32(1). 1 indexed citations

7.

Rizzo, Matteo, et al.. (2023). A Theoretical Framework for AI Models Explainability with Application in Biomedicine. ISTI Open Portal. 1–9. 4 indexed citations

8.

Rizzo, Matteo, Cristina Conati, Gabriel Murray, et al.. (2022). Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis. JMIR Aging. 5(3). e33460–e33460. 14 indexed citations

9.

Jang, Hyeju, Matteo Rizzo, Oswald Barral, et al.. (2021). Classification of Alzheimer’s Disease Leveraging Multi-task Machine Learning Analysis of Speech and Eye-Movement Data. Frontiers in Human Neuroscience. 15. 716670–716670. 17 indexed citations

10.

Rizzo, Matteo. (2017). Taken For A Ride. Oxford University Press eBooks. 6 indexed citations

11.

Rizzo, Matteo. (2017). Public Transport in Dar es Salaam. Oxford University Press eBooks.

12.

Rizzo, Matteo. (2017). Taken for a Ride. Oxford University Press eBooks. 1 indexed citations

13.

Rizzo, Matteo. (2017). Taken For A Ride: Grounding Neoliberalism, Precarious Labour, and Public Transport in an African Metropolis. SOAS Research Online (SOAS University of London). 29 indexed citations

14.

Rizzo, Matteo. (2014). The political economy of an urban megaproject: The Bus Rapid Transit project in Tanzania. African Affairs. 114(455). 249–270. 46 indexed citations

15.

Cotula, Lorenzo, et al.. (2014). Testing Claims about Large Land Deals in Africa: Findings from a Multi-Country Study. The Journal of Development Studies. 50(7). 903–925. 99 indexed citations

16.

Rizzo, Matteo, et al.. (2014). The Invisibility of Wage Employment in Statistics on the Informal Economy in Africa: Causes and Consequences. The Journal of Development Studies. 51(2). 149–161. 29 indexed citations

17.

Rizzo, Matteo. (2011). Rural wage employment in Rwanda and Ethiopia: A review of the current policy neglect and a framework to begin addressing it. RePEc: Research Papers in Economics. 7 indexed citations

18.

Rizzo, Matteo. (2009). The Struggle for Alternatives: NGOs’ Responses to the World Development Report 2008. Journal of Agrarian Change. 9(2). 277–290. 8 indexed citations

19.

Rizzo, Matteo. (2009). The struggle for alternatives: NGOs’ responses to the 2008 World Development Report. SOAS Research Online (SOAS University of London). 1 indexed citations

20.

Weeks, John, Christopher Cramer, Alemayehu Geda, et al.. (2002). Supporting Ownership: Swedish Development Cooperation with Kenya, Tanzania and Uganda. Volume 2: Country Studies. SOAS Research Online (SOAS University of London). 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.

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