Joseph Wakeling
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Experimental Behavioral Economics Studies 2
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- Neural dynamics and brain function 3
- Memory and Neural Mechanisms 1
- Co-authors
- Yicheng ZhangTao ZhouMatúš MedoJian-Guo LiuPer BakAzzurra RagoneMaurizio MarcheseAliaksandr Birukou
- Journals
- Physica A Statistical Mechanics and its Applications (3 papers)Proceedings of the National Academy of Sciences (1 paper)Frontiers in Computational Neuroscience (1 paper)DIGITAL.CSIC (Spanish National Research Council (CSIC)) (1 paper)PubMed (1 paper)
- Partner nations
- SwitzerlandChinaItaly
In The Last Decade
Joseph Wakeling
8 papers receiving 719 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Information Systems 490
- Statistical and Nonlinear Physics 196
- Management Science and Operations Research 138
- Artificial Intelligence 234
- Transportation 47
Countries citing papers authored by Joseph Wakeling
This map shows the geographic impact of Joseph Wakeling'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 Joseph Wakeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Wakeling more than expected).
Fields of papers citing papers by Joseph Wakeling
This network shows the impact of papers produced by Joseph Wakeling. 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 Joseph Wakeling. The network helps show where Joseph Wakeling may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Joseph Wakeling, 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 | 2011 | 37 | |
| 2 | Solving the apparent diversity-accuracy dilemma of recommender systems Hit paper breakdown → | 2010 | 663 |
| 3 | LiquidPublications and its technical and legal challenges | 2010 | 3 |
| 4 | 2009 | 20 | |
| 5 | 2004 | 3 | |
| 6 | 2003 | 6 | |
| 7 | 2003 | 13 | |
| 8 | 2001 | 12 |
About Joseph Wakeling
Joseph Wakeling is a scholar working on Safety Research, Cognitive Neuroscience, Information Systems and Management, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 8 papers that have together received 757 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Neural Networks and Applications (2 papers), Experimental Behavioral Economics Studies (2 papers), Complex Systems and Time Series Analysis (2 papers), Evolutionary Game Theory and Cooperation (2 papers), Memory and Neural Mechanisms (1 paper), scientometrics and bibliometrics research (1 paper) and Research Data Management Practices (1 paper). The work is most often cited by research in Information Systems (490 citations), Statistical and Nonlinear Physics (196 citations), Management Science and Operations Research (138 citations), Artificial Intelligence (234 citations) and Transportation (47 citations). Joseph Wakeling has collaborated with scholars based in Switzerland, China and Italy. Frequent co-authors include Yicheng Zhang, Tao Zhou, Matúš Medo, Jian-Guo Liu, Per Bak, Azzurra Ragone, Maurizio Marchese, Aliaksandr Birukou, Claudio Bartolini and Fabio Casati. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Proceedings of the National Academy of Sciences, Frontiers in Computational Neuroscience, DIGITAL.CSIC (Spanish National Research Council (CSIC)) and PubMed.
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.