Sofia Ceppi

30 papers receiving 425 citations

Peers

Sofia Ceppi
Comparison fields: 5 of 83
  • Management Science and Operations Research 94
  • Computational Mathematics 4
  • Marketing 48
  • Artificial Intelligence 152
  • Computer Science Applications 24
Replace Sahin Cem Geyik with:
Sahin Cem Geyik United States
Jiacheng Li China
Marino Segnan Italy
Dong‐Kyu Chae South Korea
Junfeng Pan China
Dmitry I. Ignatov Russia
Haifeng Liu China
Giovanna Petrone Italy
Dimitris Sacharidis Greece
Cihan Kaleli Türkiye
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Citations per year

Countries citing papers authored by Sofia Ceppi

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Ceppi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sofia Ceppi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sofia Ceppi Line = papers co-authored together Sofia Ceppi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Twenty-Eighth AAAI Conference on Artificial Intelligence
2014168
2 201261
3 200939
4 201431
5
Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on
200922
6 201910
7
Online mechanism design for vehicle-to-grid car parks
20169
8 20099
9 20118
10 20148
11 20178
12 20177
13 20106
14 20106
15
Wireless On-Demand Network Systems and Services (WONS), 2011 Eighth International Conference on
20116
16 20105
17 20165
18 20194
19 20143
20 20133

About Sofia Ceppi

Sofia Ceppi is a scholar working on Management Science and Operations Research, Marketing, Strategy and Management, Computer Networks and Communications and Safety Research, having authored 30 papers that have together received 434 indexed citations. Recurring topics across this work include Auction Theory and Applications (14 papers), Consumer Market Behavior and Pricing (10 papers), Digital Platforms and Economics (9 papers), Game Theory and Applications (6 papers), Game Theory and Voting Systems (3 papers), Transportation and Mobility Innovations (2 papers), Experimental Behavioral Economics Studies (2 papers) and Ethics and Social Impacts of AI (2 papers). The work is most often cited by research in Management Science and Operations Research (94 citations), Computational Mathematics (4 citations), Marketing (48 citations), Artificial Intelligence (152 citations) and Computer Science Applications (24 citations). Sofia Ceppi has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Nicola Gatti, Enrico Gerding, Marco Rocco, Marco Brambilla, Nicola Basilico, Peter Key, Ian A. Kash, Yoram Bachrach, Francesco Amigoni and David Kurokawa. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Journal of Information Communication and Ethics in Society, Integrated Computer-Aided Engineering, Lecture notes in business information processing and arXiv (Cornell University).

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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