Ingo Feinerer
Impact in
- General Psychology top 2%
- Academic and Historical Perspectives in Psychology
- General Social Sciences top 0.2%
- Computational and Text Analysis Methods
Papers in
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- Semantic Web and Ontologies 9
- Advanced Text Analysis Techniques 6
- Logic, programming, and type systems 5
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- Data Mining Algorithms and Applications 7
- Service-Oriented Architecture and Web Services 4
- Co-authors
- Kurt Hornik (17 shared papers)David Meyer (4 shared papers)Christian Buchta (5 shared papers)Christopher D. Green (7 shared papers)Jeremy Trevelyan Burman (4 shared papers)Alexandros Karatzoglou (2 shared papers)Gernot Salzer (7 shared papers)Patrick Mair (2 shared papers)
In The Last Decade
Ingo Feinerer
40 papers receiving 1.5k citations
Ingo Feinerer's Hit Papers
Peers
Comparison fields: 5 of 158
- General Psychology 82
- General Social Sciences 104
- Artificial Intelligence 562
- Communication 88
- Information Systems 244
Countries citing papers authored by Ingo Feinerer
This map shows the geographic impact of Ingo Feinerer'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 Ingo Feinerer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Feinerer more than expected).
Fields of papers citing papers by Ingo Feinerer
This network shows the impact of papers produced by Ingo Feinerer. 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 Ingo Feinerer. The network helps show where Ingo Feinerer may publish in the future.
Co-authors
The 20 scholars most cited alongside Ingo Feinerer, 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 | Text Mining Infrastructure inR Hit paper breakdown → | 2008 | 849 |
| 2 | 2012 | 184 | |
| 3 | Text Mining Infrastructure in R | 2008 | 177 |
| 4 | 2013 | 59 | |
| 5 | 2009 | 36 | |
| 6 | 2015 | 29 | |
| 7 | 2011 | 23 | |
| 8 | 2013 | 20 | |
| 9 | 2015 | 18 | |
| 10 | 2015 | 16 | |
| 11 | 2010 | 16 | |
| 12 | Text Mining Package | 2015 | 13 |
| 13 | 2016 | 12 | |
| 14 | 2014 | 12 | |
| 15 | 2011 | 10 | |
| 16 | 2007 | 10 | |
| 17 | 2014 | 10 | |
| 18 | 2012 | 9 | |
| 19 | Automated Coding of Qualitative Interviews with Latent Semantic Analysis. | 2007 | 8 |
| 20 | 2016 | 7 |
About Ingo Feinerer
Ingo Feinerer is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, General Psychology and Social Psychology, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (9 papers), Semantic Web and Ontologies (9 papers), Data Mining Algorithms and Applications (7 papers), Academic and Historical Perspectives in Psychology (7 papers), Advanced Text Analysis Techniques (6 papers), Logic, programming, and type systems (5 papers), Service-Oriented Architecture and Web Services (4 papers) and Social Representations and Identity (3 papers). The work is most often cited by research in General Psychology (82 citations), General Social Sciences (104 citations), Artificial Intelligence (562 citations), Communication (88 citations) and Information Systems (244 citations). Ingo Feinerer has collaborated with scholars based in Austria, Canada and Norway. Frequent co-authors include Kurt Hornik, David Meyer, Christian Buchta, Christopher D. Green, Jeremy Trevelyan Burman, Alexandros Karatzoglou, Gernot Salzer, Patrick Mair, Johannes Rauch and Dag Elgesem. Their work appears in journals such as Journal of Statistical Software, History of Psychology, Journal of the History of the Behavioral Sciences, Computer Supported Cooperative Work (CSCW) and Formal Aspects of Computing.
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.