John Musacchio
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Media Technology top 2%
- Strategy and Management top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Jean WalrandGalina SchwartzRajarshi GuptaPatrick LoiseauSaurabh AminKevin M. PassinoShankar SastryCostas J. Spanos
- Topics
- Game Theory and Applications (5 papers)Digital Platforms and Economics (4 papers)ICT Impact and Policies (4 papers)
- Journals
- IEEE/ACM Transactions on NetworkingIEEE Transactions on Information Forensics and SecurityEngineering Applications of Artificial Intelligence
- Partner nations
- United StatesFranceFinland
In The Last Decade
John Musacchio
24 papers receiving 454 citations
Peers
Comparison fields: 5 of 49
- Computer Networks and Communications 274
- Electrical and Electronic Engineering 156
- Media Technology 154
- Strategy and Management 125
- Management Science and Operations Research 75
Countries citing papers authored by John Musacchio
This map shows the geographic impact of John Musacchio'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 John Musacchio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Musacchio more than expected).
Fields of papers citing papers by John Musacchio
This network shows the impact of papers produced by John Musacchio. 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 John Musacchio. The network helps show where John Musacchio may publish in the future.
Co-authorship network of co-authors of John Musacchio
This figure shows the co-authorship network connecting the top 25 collaborators of John Musacchio. A scholar is included among the top collaborators of John Musacchio 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 John Musacchio. John Musacchio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 24 | |
| 5 | 1 | |
| 6 | Congestion Pricing Using a Raffle-Based Scheme | 1 |
| 7 | 19 | |
| 8 | 4 | |
| 9 | The Price of Anarchy in Parallel - Serial Competition with Elastic Demand | 2 |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 29 | |
| 13 | 75 | |
| 14 | 67 | |
| 15 | 8 | |
| 16 | Game Theoretic Modeling of WiFi Pricing | 4 |
| 17 | 11 | |
| 18 | 23 | |
| 19 | 4 | |
| 20 | 3 |
About John Musacchio
John Musacchio is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Media Technology, having authored 24 papers that have together received 494 indexed citations. Recurring topics across this work include Game Theory and Applications (5 papers), Digital Platforms and Economics (4 papers) and ICT Impact and Policies (4 papers). The work is most often cited by research in Media Technology (154 citations), Computer Networks and Communications (274 citations) and Strategy and Management (125 citations). John Musacchio has collaborated with scholars based in United States, France and Finland. Frequent co-authors include Jean Walrand, Galina Schwartz, Rajarshi Gupta, Patrick Loiseau, Saurabh Amin, Kevin M. Passino, Shankar Sastry, Costas J. Spanos, Sundeep Rangan and Michael J. Singer. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Information Forensics and Security and Engineering Applications of Artificial Intelligence.
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.