Karin Becker
Impact in
- Communication top 5%
- Media Studies and Communication
Papers in
-
- Sentiment Analysis and Opinion Mining 21
- Advanced Text Analysis Techniques 10
- Topic Modeling 9
-
- Service-Oriented Architecture and Web Services 13
- Data Mining Algorithms and Applications 8
- Co-authors
- Jéferson Campos Nobre (8 shared papers)Liliane dos Santos Machado (1 shared paper)Duncan D. Ruiz (6 shared papers)Mara Abel (3 shared papers)Marcelo Fernandes Pacheco Dias (6 shared papers)Viviane P. Moreira (2 shared papers)Renata Galante (9 shared papers)Sharad Singhal (2 shared papers)
- Journals
- Information Processing & Management (3 papers)Information and Software Technology (2 papers)Expert Systems with Applications (2 papers)Knowledge and Information Systems (2 papers)Media Culture & Society (2 papers)
- Partner nations
- BrazilUnited StatesSweden
In The Last Decade
Karin Becker
96 papers receiving 766 citations
Peers
Comparison fields: 5 of 108
- Communication 130
- Computer Science Applications 58
- Information Systems 237
- Artificial Intelligence 319
- Visual Arts and Performing Arts 46
Countries citing papers authored by Karin Becker
This map shows the geographic impact of Karin Becker'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 Karin Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Becker more than expected).
Fields of papers citing papers by Karin Becker
This network shows the impact of papers produced by Karin Becker. 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 Karin Becker. The network helps show where Karin Becker may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Becker, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 57 | |
| 2 | 2018 | 42 | |
| 3 | 2017 | 37 | |
| 4 | 2023 | 36 | |
| 5 | Photojournalism and the Tabloid Press | 2003 | 35 |
| 6 | 2020 | 32 | |
| 7 | 2004 | 27 | |
| 8 | 1995 | 27 | |
| 9 | 2008 | 24 | |
| 10 | 2017 | 22 | |
| 11 | 2022 | 19 | |
| 12 | 2016 | 19 | |
| 13 | 2014 | 18 | |
| 14 | 2004 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 1991 | 16 | |
| 17 | 2018 | 15 | |
| 18 | 2016 | 15 | |
| 19 | 2014 | 15 | |
| 20 | 2011 | 14 |
About Karin Becker
Karin Becker is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Management Information Systems and Communication, having authored 113 papers that have together received 854 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (21 papers), Business Process Modeling and Analysis (15 papers), Service-Oriented Architecture and Web Services (13 papers), Misinformation and Its Impacts (10 papers), Advanced Text Analysis Techniques (10 papers), Topic Modeling (9 papers), Complex Network Analysis Techniques (9 papers) and Data Mining Algorithms and Applications (8 papers). The work is most often cited by research in Communication (130 citations), Computer Science Applications (58 citations), Information Systems (237 citations), Artificial Intelligence (319 citations) and Visual Arts and Performing Arts (46 citations). Karin Becker has collaborated with scholars based in Brazil, United States and Sweden. Frequent co-authors include Jéferson Campos Nobre, Liliane dos Santos Machado, Duncan D. Ruiz, Mara Abel, Marcelo Fernandes Pacheco Dias, Viviane P. Moreira, Renata Galante, Sharad Singhal, Jim Pruyne and Dejan Milojičić. Their work appears in journals such as Information Processing & Management, Information and Software Technology, Expert Systems with Applications, Knowledge and Information Systems and Media Culture & Society.
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.