Matthew Hurst
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Information Systems top 1%
- Web Data Mining and Analysis
- Spam and Phishing Detection
Papers in
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- Advanced Text Analysis Techniques 13
- Topic Modeling 5
- Sentiment Analysis and Opinion Mining 4
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- Web Data Mining and Analysis 13
- Co-authors
- Natalie Glance (8 shared papers)Takashi Tomokiyo (4 shared papers)Mary McGlohon (5 shared papers)Christos Faloutsos (3 shared papers)Jure Leskovec (3 shared papers)Kamal Nigam (4 shared papers)Hassan Sayyadi (1 shared paper)William W. Cohen (3 shared papers)
- Journals
- International Journal on Document Analysis and Recognition (IJDAR) (2 papers)Journal of research in nursing (1 paper)Biotechnology Progress (1 paper)Limnology and Oceanography (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (6 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Matthew Hurst
40 papers receiving 1.5k citations
Matthew Hurst's Hit Papers
Peers
Comparison fields: 5 of 77
- Statistical and Nonlinear Physics 623
- Information Systems 677
- Artificial Intelligence 867
- Communication 129
- Management Science and Operations Research 168
Countries citing papers authored by Matthew Hurst
This map shows the geographic impact of Matthew Hurst'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 Matthew Hurst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Hurst more than expected).
Fields of papers citing papers by Matthew Hurst
This network shows the impact of papers produced by Matthew Hurst. 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 Matthew Hurst. The network helps show where Matthew Hurst may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Hurst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Patterns of Cascading Behavior in Large Blog Graphs Hit paper breakdown → | 2007 | 366 |
| 2 | 2009 | 171 | |
| 3 | 2003 | 170 | |
| 4 | 2002 | 126 | |
| 5 | 2005 | 119 | |
| 6 | Cascading Behavior in Large Blog Graphs | 2007 | 92 |
| 7 | 2006 | 82 | |
| 8 | BlogPulse: Automated trend discovery for weblogs | 2004 | 70 |
| 9 | 2004 | 69 | |
| 10 | The Interpretation of Tables in Texts | 2000 | 52 |
| 11 | Layout and Language: Challenges for Table Understanding on the Web | 2001 | 45 |
| 12 | 2008 | 42 | |
| 13 | 2003 | 41 | |
| 14 | 2002 | 37 | |
| 15 | 2008 | 29 | |
| 16 | 2002 | 20 | |
| 17 | 2000 | 18 | |
| 18 | 2000 | 14 | |
| 19 | 2006 | 12 | |
| 20 | 2005 | 12 |
About Matthew Hurst
Matthew Hurst is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (13 papers), Web Data Mining and Analysis (13 papers), Complex Network Analysis Techniques (8 papers), Data Visualization and Analytics (6 papers), Opinion Dynamics and Social Influence (5 papers), Advanced Database Systems and Queries (5 papers), Topic Modeling (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (623 citations), Information Systems (677 citations), Artificial Intelligence (867 citations), Communication (129 citations) and Management Science and Operations Research (168 citations). Matthew Hurst has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Natalie Glance, Takashi Tomokiyo, Mary McGlohon, Christos Faloutsos, Jure Leskovec, Kamal Nigam, Hassan Sayyadi, William W. Cohen, M.A. Siegler and George Nagy. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Journal of research in nursing, Biotechnology Progress, Limnology and Oceanography and Proceedings of the International AAAI Conference on Web and Social Media.
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.