dominik-peters.de bewertung und analyse
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| Title | Dominik Peters - Computer Scientist at CNRS | Personal |
| Description | CS postdoc at the University of Toronto, working on computational social choice. Personal |
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Server Information
| WebSite | |
| Host IP | 85.13.136.229 |
| Location | Germany |
Verwandte Websites
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| dominik-reichl.de | 146,865 |
| dominikschadow.de | 27,843,712 |
| dominik-braun.net | 42,699,172 |
| dominik-schwarz.net | 5,988,650 |
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dominik-peters.de bewertung
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Euro€2,755
Zuletzt aktualisiert: 2022-06-22
dominik-peters.de hat Semrush globalen Rang von 10,069,333. dominik-peters.de hat einen geschätzten Wert von € 2,755, basierend auf seinen geschätzten Werbeeinnahmen. dominik-peters.de empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in Germany mit der IP-Adresse 85.13.136.229. Laut SiteAdvisor ist dominik-peters.de sicher zu besuchen. |
Verkehr & Wertschätzungen
| Kauf-/Verkaufswert | Euro€2,755 |
| Tägliche Werbeeinnahmen | Euro€78,793 |
| Monatlicher Anzeigenumsatz | Euro€26,448 |
| Jährliche Werbeeinnahmen | Euro€2,204 |
| Tägliche eindeutige Besucher | 551 |
| Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen. | |
DNS Records
| Host | Type | TTL | Data |
| dominik-peters.de. | A | 7199 | IP: 85.13.136.229 |
| dominik-peters.de. | NS | 7200 | NS Record: ns6.kasserver.com. |
| dominik-peters.de. | NS | 7200 | NS Record: ns5.kasserver.com. |
| dominik-peters.de. | MX | 7200 | MX Record: 10 w008ef9a.kasserver.com. |
| dominik-peters.de. | TXT | 3600 | TXT Record: v=spf1 ip4:85.13.136.229 -all |
| dominik-peters.de. | TXT | 3600 | TXT Record: google-site-verification=9RAYVdK2Ov2cJ9Du9NkQ0RMEfFAu1z0h-rS8t13BKeM |
HtmlToTextCheckTime:2022-06-22
| Dominik Peters Computer Science researcher (CNRS) at LAMSADE. c.v. dblp google scholar semantic scholar office: P615 mail@dominik-peters.de mail@dominik-peters.de --> --> --> Hello, I’m Dominik. I do research on decision making at LAMSADE , part of Université Paris Dauphine-PSL. I’m a CNRS chargé de recherche , which is a permanent and tenured research position. I work on computational social choice, studying voting rules and preference aggregation, and designing fair algorithms. Recently, I have been interested in how organisations can decide how to divide their budgets among competing projects. I also enjoy proving impossibility theorems in voting theory using computer-aided methods involving SAT solvers. I was previously a postdoc hosted by Nisarg Shah at the University of Toronto (2021–22). Before that, I was a postdoc hosted by Ariel Procaccia at Harvard University (2020–21) and at Carnegie Mellon University (2019–20). I did my PhD ( DPhil , 2015–19) at the Department of |
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