Anna Jurek
Impact in
- Health top 10%
- Social Media in Health Education
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Anomaly Detection Techniques and Applications
Papers in
-
- Topic Modeling 5
- Sentiment Analysis and Opinion Mining 4
- Machine Learning and Data Classification 4
- Advanced Text Analysis Techniques 3
- Hate Speech and Cyberbullying Detection 2
- Co-authors
- Yaxin Bi (6 shared papers)Maurice Mulvenna (2 shared papers)Chris Nugent (5 shared papers)Shengli Wu (5 shared papers)Jun Hong (3 shared papers)P Deepak (5 shared papers)Frank Kee (1 shared paper)Oluwaseun Ajao (1 shared paper)
- Journals
- Information Systems (3 papers)Information and Software Technology (1 paper)International Journal of Digital Earth (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)BMC Medical Informatics and Decision Making (1 paper)
- Partner nations
- United KingdomPolandChina
In The Last Decade
Anna Jurek
26 papers receiving 542 citations
Peers
Comparison fields: 5 of 115
- Health 62
- Artificial Intelligence 244
- Communication 32
- Management Science and Operations Research 57
- Information Systems 82
Countries citing papers authored by Anna Jurek
This map shows the geographic impact of Anna Jurek'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 Anna Jurek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Jurek more than expected).
Fields of papers citing papers by Anna Jurek
This network shows the impact of papers produced by Anna Jurek. 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 Anna Jurek. The network helps show where Anna Jurek may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Jurek, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 184 | |
| 2 | 2015 | 126 | |
| 3 | 2013 | 56 | |
| 4 | 2014 | 32 | |
| 5 | 2017 | 25 | |
| 6 | 2022 | 22 | |
| 7 | 2013 | 21 | |
| 8 | 2021 | 17 | |
| 9 | 2018 | 17 | |
| 10 | 2014 | 12 | |
| 11 | 2019 | 10 | |
| 12 | 2017 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2020 | 7 | |
| 15 | 2023 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2011 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2012 | 2 |
About Anna Jurek
Anna Jurek is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Computer Vision and Pattern Recognition and Molecular Biology, having authored 28 papers that have together received 571 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Misinformation and Its Impacts (4 papers), Machine Learning and Data Classification (4 papers), Data Quality and Management (3 papers), Face and Expression Recognition (3 papers), Advanced Text Analysis Techniques (3 papers) and Hate Speech and Cyberbullying Detection (2 papers). The work is most often cited by research in Health (62 citations), Artificial Intelligence (244 citations), Communication (32 citations), Management Science and Operations Research (57 citations) and Information Systems (82 citations). Anna Jurek has collaborated with scholars based in United Kingdom, Poland and China. Frequent co-authors include Yaxin Bi, Maurice Mulvenna, Chris Nugent, Shengli Wu, Jun Hong, P Deepak, Frank Kee, Oluwaseun Ajao, Ruth F. Hunter and Gary McKeown. Their work appears in journals such as Information Systems, Information and Software Technology, International Journal of Digital Earth, IEEE Transactions on Knowledge and Data Engineering and BMC Medical Informatics and Decision Making.
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.