Christopher Riederer
Impact in
- Transportation top 10%
- Human Mobility and Location-Based Analysis
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Privacy-Preserving Technologies in Data 3
- Advanced Text Analysis Techniques 1
-
- Privacy, Security, and Data Protection 2
- Co-authors
- Augustin Chaintreau (5 shared papers)Vijay Erramilli (2 shared papers)Nitish Korula (1 shared paper)Yunsung Kim (1 shared paper)Silvio Lattanzi (1 shared paper)Juan Pablo Carrascal (1 shared paper)Rodrigo Cardoso de Oliveira (1 shared paper)Mauro Cherubini (1 shared paper)
- Journals
- Columbia Academic Commons (Columbia University) (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Christopher Riederer
10 papers receiving 371 citations
Peers
Comparison fields: 5 of 55
- Transportation 61
- Computer Science Applications 44
- Statistical and Nonlinear Physics 94
- Artificial Intelligence 185
- Human-Computer Interaction 30
Countries citing papers authored by Christopher Riederer
This map shows the geographic impact of Christopher Riederer'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 Christopher Riederer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Riederer more than expected).
Fields of papers citing papers by Christopher Riederer
This network shows the impact of papers produced by Christopher Riederer. 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 Christopher Riederer. The network helps show where Christopher Riederer may publish in the future.
Co-authors
The 19 scholars most cited alongside Christopher Riederer, 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 | 2016 | 119 | |
| 2 | 2013 | 87 | |
| 3 | 2011 | 65 | |
| 4 | 2018 | 61 | |
| 5 | 2015 | 20 | |
| 6 | 2015 | 14 | |
| 7 | 2018 | 11 | |
| 8 | 2013 | 10 | |
| 9 | 2016 | 8 | |
| 10 | 2020 | 1 |
About Christopher Riederer
Christopher Riederer is a scholar working on Artificial Intelligence, Sociology and Political Science, Statistical and Nonlinear Physics, Transportation and Computer Science Applications, having authored 10 papers that have together received 396 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (3 papers), Opinion Dynamics and Social Influence (2 papers), Human Mobility and Location-Based Analysis (2 papers), Privacy, Security, and Data Protection (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Complex Network Analysis Techniques (1 paper), Social Media and Politics (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Transportation (61 citations), Computer Science Applications (44 citations), Statistical and Nonlinear Physics (94 citations), Artificial Intelligence (185 citations) and Human-Computer Interaction (30 citations). Christopher Riederer has collaborated with scholars based in United States and Spain. Frequent co-authors include Augustin Chaintreau, Vijay Erramilli, Nitish Korula, Yunsung Kim, Silvio Lattanzi, Juan Pablo Carrascal, Rodrigo Cardoso de Oliveira, Mauro Cherubini, Pablo Rodríguez and Balachander Krishnamurthy. Their work appears in journals such as Columbia Academic Commons (Columbia 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.