Nicholas C. Valler
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- Complex Network Analysis Techniques 6
- Opinion Dynamics and Social Influence 5
- Modeling and Simulation top 5%
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- Opportunistic and Delay-Tolerant Networks 3
- Network Security and Intrusion Detection 3
- Mobile Ad Hoc Networks 2
- Network Traffic and Congestion Control 2
- Peer-to-Peer Network Technologies 1
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- Internet Traffic Analysis and Secure E-voting 2
- Co-authors
- Michalis FaloutsosB. Aditya PrakashChristos FaloutsosDeepayan ChakrabartiIulian NeamtiuXuetao WeiHarsha V. MadhyasthaDavid G. Andersen
- Cited by
- Statistical and Nonlinear PhysicsModeling and SimulationComputer Networks and Communications
- Journals
- IEEE Journal on Selected Areas in Communications (1 paper)ACM SIGCOMM Computer Communication Review (1 paper)Computer Networks (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Nicholas C. Valler
11 papers receiving 322 citations
Peers
Comparison fields: 5 of 54
- Statistical and Nonlinear Physics 238
- Modeling and Simulation 43
- Computer Networks and Communications 95
- Communication 16
- Signal Processing 20
Countries citing papers authored by Nicholas C. Valler
This map shows the geographic impact of Nicholas C. Valler'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 C. Valler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas C. Valler more than expected).
Fields of papers citing papers by Nicholas C. Valler
This network shows the impact of papers produced by Nicholas C. Valler. 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 C. Valler. The network helps show where Nicholas C. Valler may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Nicholas C. Valler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 20 | |
| 2 | 2015 | 8 | |
| 3 | 2013 | 4 | |
| 4 | 2013 | 72 | |
| 5 | 2012 | 33 | |
| 6 | Spreading processes on networks theory and applications | 2012 | 4 |
| 7 | 2012 | 86 | |
| 8 | 2011 | 5 | |
| 9 | 2011 | 2 | |
| 10 | 2011 | 75 | |
| 11 | 2010 | 0 | |
| 12 | 2009 | 25 |
About Nicholas C. Valler
Nicholas C. Valler is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence, having authored 12 papers that have together received 334 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (5 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Network Security and Intrusion Detection (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Mobile Ad Hoc Networks (2 papers), Network Traffic and Congestion Control (2 papers) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (238 citations), Modeling and Simulation (43 citations) and Computer Networks and Communications (95 citations). Nicholas C. Valler has collaborated with scholars based in United States and Spain. Frequent co-authors include Michalis Faloutsos, B. Aditya Prakash, Christos Faloutsos, Deepayan Chakrabarti, Iulian Neamtiu, Xuetao Wei, Harsha V. Madhyastha, David G. Andersen and Michael Butkiewicz. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, ACM SIGCOMM Computer Communication Review and Computer Networks.
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.