Nicholas Mattei
Impact in
- Health Informatics top 5%
- Safety Research top 2%
- Ethics and Social Impacts of AI
Papers in
-
- Logic, Reasoning, and Knowledge 11
- Bayesian Modeling and Causal Inference 10
- Explainable Artificial Intelligence (XAI) 7
-
- Auction Theory and Applications 25
- Advanced Bandit Algorithms Research 10
- Co-authors
- Judy Goldsmith (19 shared papers)Francesca Rossi (19 shared papers)Emanuelle Burton (6 shared papers)Toby Walsh (13 shared papers)Kristen Brent Venable (12 shared papers)Haris Aziz (13 shared papers)Djallel Bouneffouf (5 shared papers)Serge Gaspers (9 shared papers)
- Journals
- Journal of Artificial Intelligence Research (3 papers)IBM Journal of Research and Development (2 papers)Artificial Intelligence (2 papers)Communications of the ACM (2 papers)Journal of Medical Internet Research (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Nicholas Mattei
80 papers receiving 938 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 40
- Safety Research 199
- Management Science and Operations Research 266
- Artificial Intelligence 459
- Computer Science Applications 71
Countries citing papers authored by Nicholas Mattei
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
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-authors
The 25 scholars most cited alongside Nicholas Mattei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 95 | |
| 2 | 2019 | 85 | |
| 3 | 2018 | 75 | |
| 4 | 2019 | 38 | |
| 5 | 2021 | 36 | |
| 6 | 2019 | 32 | |
| 7 | 2018 | 28 | |
| 8 | 2013 | 25 | |
| 9 | 2020 | 22 | |
| 10 | 2019 | 22 | |
| 11 | 2014 | 21 | |
| 12 | 2018 | 21 | |
| 13 | 2012 | 20 | |
| 14 | 2015 | 19 | |
| 15 | 2013 | 18 | |
| 16 | 2020 | 18 | |
| 17 | 2014 | 17 | |
| 18 | 2016 | 15 | |
| 19 | 2014 | 15 | |
| 20 | 2017 | 15 |
About Nicholas Mattei
Nicholas Mattei is a scholar working on Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Safety Research and Computer Networks and Communications, having authored 89 papers that have together received 979 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (25 papers), Auction Theory and Applications (25 papers), Ethics and Social Impacts of AI (14 papers), Logic, Reasoning, and Knowledge (11 papers), Bayesian Modeling and Causal Inference (10 papers), Advanced Bandit Algorithms Research (10 papers), Explainable Artificial Intelligence (XAI) (7 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Health Informatics (40 citations), Safety Research (199 citations), Management Science and Operations Research (266 citations), Artificial Intelligence (459 citations) and Computer Science Applications (71 citations). Nicholas Mattei has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Judy Goldsmith, Francesca Rossi, Emanuelle Burton, Toby Walsh, Kristen Brent Venable, Haris Aziz, Djallel Bouneffouf, Serge Gaspers, Benjamin Kuipers and Sven Koenig. Their work appears in journals such as Journal of Artificial Intelligence Research, IBM Journal of Research and Development, Artificial Intelligence, Communications of the ACM and Journal of Medical Internet Research.
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.