Christina Aperjis
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Information Systems top 10%
- Co-authors
- Ramesh JohariBernardo A. HubermanMichael J. FreedmanVasilis GkatzelisThomas SandholmMao YeChunyan WangFang Wu
- Topics
- Auction Theory and Applications (10 papers)Experimental Behavioral Economics Studies (8 papers)Peer-to-Peer Network Technologies (6 papers)
- Partner nations
- United StatesSpainVietnam
In The Last Decade
Christina Aperjis
23 papers receiving 237 citations
Peers
Comparison fields: 5 of 41
- Computer Networks and Communications 89
- Sociology and Political Science 82
- Management Science and Operations Research 80
- Artificial Intelligence 67
- Information Systems 50
Countries citing papers authored by Christina Aperjis
This map shows the geographic impact of Christina Aperjis'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 Christina Aperjis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Aperjis more than expected).
Fields of papers citing papers by Christina Aperjis
This network shows the impact of papers produced by Christina Aperjis. 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 Christina Aperjis. The network helps show where Christina Aperjis may publish in the future.
Co-authorship network of co-authors of Christina Aperjis
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Aperjis. A scholar is included among the top collaborators of Christina Aperjis 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 Christina Aperjis. Christina Aperjis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 33 | |
| 4 | 0 | |
| 5 | PILOT AUCTION FACILITY FOR METHANE AND CLIMATE CHANGE MITIGATION: RELEVANT AUCTION THEORY | 1 |
| 6 | PILOT AUCTION FACILITY FOR METHANE AND CLIMATE CHANGE MITIGATION: RELEVANT ENVIRONMENTAL AUCTIONS | 2 |
| 7 | 33 | |
| 8 | 19 | |
| 9 | 12 | |
| 10 | 12 | |
| 11 | 14 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | Prices are right: managing resources and incentives in peer-assisted content distribution | 18 |
| 19 | 36 | |
| 20 | 18 |
About Christina Aperjis
Christina Aperjis is a scholar working on General Decision Sciences, Management Science and Operations Research and Safety Research, having authored 24 papers that have together received 252 indexed citations. Recurring topics across this work include Auction Theory and Applications (10 papers), Experimental Behavioral Economics Studies (8 papers) and Peer-to-Peer Network Technologies (6 papers). The work is most often cited by research in Computer Science Applications (35 citations), Management Science and Operations Research (80 citations) and Marketing (37 citations). Christina Aperjis has collaborated with scholars based in United States, Spain and Vietnam. Frequent co-authors include Ramesh Johari, Bernardo A. Huberman, Michael J. Freedman, Vasilis Gkatzelis, Bernardo A. Huberman, Thomas Sandholm, Mao Ye, Chunyan Wang, Fang Wu and Chunyan Wang. Their work appears in journals such as Management Science, IEEE/ACM Transactions on Networking and Games and Economic Behavior.
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.