Nicholas Mattei

2.1k total citations
83 papers, 815 citations indexed

About

Nicholas Mattei is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Nicholas Mattei has authored 83 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 33 papers in Management Science and Operations Research and 26 papers in Economics and Econometrics. Recurrent topics in Nicholas Mattei's work include Auction Theory and Applications (24 papers), Game Theory and Voting Systems (24 papers) and Ethics and Social Impacts of AI (13 papers). Nicholas Mattei is often cited by papers focused on Auction Theory and Applications (24 papers), Game Theory and Voting Systems (24 papers) and Ethics and Social Impacts of AI (13 papers). Nicholas Mattei collaborates with scholars based in United States, Australia and Italy. Nicholas Mattei's co-authors include Judy Goldsmith, Toby Walsh, Francesca Rossi, Kristen Brent Venable, Haris Aziz, Sven Koenig, Benjamin Kuipers, Maria Pini, Serge Gaspers and Djallel Bouneffouf and has published in prestigious journals such as Communications of the ACM, European Journal of Operational Research and Artificial Intelligence.

In The Last Decade

Nicholas Mattei

75 papers receiving 776 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas Mattei United States	15	366	215	211	155	82	83	815
Toshihiro Kamishima Japan	12	377 1.0×	166 0.8×	47 0.2×	158 1.0×	304 3.7×	39	733
Katie Atkinson United Kingdom	20	1.2k 3.2×	81 0.4×	108 0.5×	107 0.7×	156 1.9×	124	1.4k
Adriano Koshiyama United Kingdom	14	287 0.8×	81 0.4×	56 0.3×	262 1.7×	107 1.3×	75	667
Jörn Grahl Germany	12	318 0.9×	71 0.3×	30 0.1×	131 0.8×	77 0.9×	26	709
Tim Baarslag Netherlands	16	528 1.4×	267 1.2×	63 0.3×	46 0.3×	87 1.1×	41	779
Muhammad Bilal Zafar Germany	13	466 1.3×	55 0.3×	52 0.2×	351 2.3×	214 2.6×	23	878
Fariba Sadri United Kingdom	14	751 2.1×	104 0.5×	66 0.3×	26 0.2×	126 1.5×	38	1.1k
Sanjay Modgil United Kingdom	19	1.3k 3.7×	83 0.4×	41 0.2×	46 0.3×	174 2.1×	79	1.6k
Michael Carl Tschantz United States	17	672 1.8×	79 0.4×	38 0.2×	206 1.3×	294 3.6×	33	1.2k
John-Jules Meyer Netherlands	17	1.1k 2.9×	150 0.7×	62 0.3×	17 0.1×	87 1.1×	82	1.3k

Countries citing papers authored by Nicholas Mattei

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Mattei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Mattei

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

Campbell, Murray, Francesco Fabiano, Lior Horesh, et al.. (2025). Fast, slow, and metacognitive thinking in AI. 1(1).

Fabiano, Francesco, Andrea Loreggia, Nicholas Mattei, et al.. (2025). Thinking Fast and Slow in Human and Machine Intelligence. Communications of the ACM. 68(8). 72–79.

Awad, Edmond, Sydney Levine, Andrea Loreggia, et al.. (2024). When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data. Autonomous Agents and Multi-Agent Systems. 38(2). 3 indexed citations

Voida, Amy, et al.. (2024). Dynamic Fairness-aware Recommendation Through Multi-agent Social Choice. 3(2). 1–35. 5 indexed citations

Voida, Amy, et al.. (2024). Social Choice for Heterogeneous Fairness in Recommendation. 1096–1101. 1 indexed citations

Mattei, Nicholas, et al.. (2024). Flexible representative democracy. Social Choice and Welfare. 64(1-2). 263–308.

Mattei, Nicholas, et al.. (2023). The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation. 1652–1663. 9 indexed citations

Gao, Tian, et al.. (2021). Causal Inference for Event Pairs in Multivariate Point Processes. Neural Information Processing Systems. 34. 1 indexed citations

Foster, Jeffrey S., et al.. (2020). We Need Fairness and Explainability in Algorithmic Hiring. 1716–1720. 10 indexed citations

10.

Narayanam, Ramasuri, et al.. (2019). DeepAggregation: A New Approach for Aggregating Incomplete Ranked Lists using Multi-Layer Graph Embedding. Adaptive Agents and Multi-Agents Systems. 2235–2237. 2 indexed citations

11.

Loreggia, Andrea, Nicholas Mattei, Francesca Rossi, & Kristen Brent Venable. (2019). Metric Learning for Value Alignment.. International Joint Conference on Artificial Intelligence. 1 indexed citations

12.

Wang, Xiaoyan, Achille Fokoue, Nicholas Mattei, et al.. (2019). Answering Science Exam Questions Using Query Reformulation with Background Knowledge. 6 indexed citations

13.

Loreggia, Andrea, Nicholas Mattei, Francesca Rossi, & Kristen Brent Venable. (2018). On the Distance Between CP-nets. Adaptive Agents and Multi-Agents Systems. 955–963. 5 indexed citations

14.

Zhao, Zhibing, Junming Wang, Jeffrey O. Kephart, et al.. (2018). A Cost-Effective Framework for Preference Elicitation and Aggregation. Uncertainty in Artificial Intelligence. 446–456. 1 indexed citations

15.

Aziz, Haris, Péter Bíró, Tamás Fleiner, et al.. (2017). Stable Matching with Uncertain Pairwise Preferences. Adaptive Agents and Multi-Agents Systems. 344–352. 8 indexed citations

16.

Aziz, Haris, et al.. (2016). Egalitarianism of Random Assignment Mechanisms: (Extended Abstract). Adaptive Agents and Multi-Agents Systems. 1267–1268. 2 indexed citations

17.

Grandi, Umberto, et al.. (2015). Reasoning with PCP-nets in a Multi-Agent Context. Adaptive Agents and Multi-Agents Systems. 969–977. 10 indexed citations

18.

Goldsmith, Judy, et al.. (2015). Teaching AI Ethics Using Science Fiction. National Conference on Artificial Intelligence. 14 indexed citations

19.

Mattei, Nicholas, et al.. (2012). Bribery in voting over combinatorial domains is easy. Research Padua Archive (University of Padua). 1407–1408. 7 indexed citations

20.

Mattei, Nicholas. (2011). Cecision making under uncertainty: social choice and manipulation. International Joint Conference on Artificial Intelligence. 2828–2829. 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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