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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- Academic and Historical Perspectives in Psychology 7
- Software 3
- Co-authors
- Kurt HornikDavid MeyerChristian BuchtaChristopher D. GreenJeremy Trevelyan BurmanAlexandros KaratzoglouPatrick MairGernot Salzer
In The Last Decade
Ingo Feinerer
34 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- General Psychology 76
- General Social Sciences 102
- Artificial Intelligence 453
- Communication 81
- Information Systems 205
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-authorship network
The 17 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
| # | Work | ||
|---|---|---|---|
| 1 | WordNet Interface [R package wordnet version 0.1-15] | 2020 | 1 |
| 2 | Text Mining Package [R package tm version 0.7-7] | 2019 | 3 |
| 3 | Text Mining E-Mail Plug-in [R package tm.plugin.mail version 0.2-1] | 2018 | 2 |
| 4 | 2016 | 4 | |
| 5 | 2016 | 10 | |
| 6 | 2015 | 16 | |
| 7 | 2015 | 29 | |
| 8 | Text Mining Package | 2015 | 11 |
| 9 | 2015 | 17 | |
| 10 | 2014 | 11 | |
| 11 | 2013 | 16 | |
| 12 | 2013 | 2 | |
| 13 | A tm Plug-In for Distributed Text Mining in R | 2012 | 2 |
| 14 | 2012 | 3 | |
| 15 | On the Undecidability of the Equivalence of Second-Order Tuple Generating Dependencies. | 2011 | 7 |
| 16 | 2011 | 1 | |
| 17 | Distributed Text Mining with tm | 2010 | 3 |
| 18 | Text Mining Infrastructure in R | 2008 | 169 |
| 19 | Automated Coding of Qualitative Interviews with Latent Semantic Analysis. | 2007 | 5 |
| 20 | 2006 | 3 |
About Ingo Feinerer
Ingo Feinerer is a scholar working on General Psychology, Software, Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (8 papers), Semantic Web and Ontologies (7 papers), Academic and Historical Perspectives in Psychology (7 papers), Advanced Text Analysis Techniques (6 papers), Data Mining Algorithms and Applications (6 papers), Logic, programming, and type systems (4 papers), Psychology Research and Bibliometrics (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in General Psychology (76 citations), General Social Sciences (102 citations), Artificial Intelligence (453 citations), Communication (81 citations) and Information Systems (205 citations). Ingo Feinerer has collaborated with scholars based in Austria, Canada and Italy. Frequent co-authors include Kurt Hornik, David Meyer, Christian Buchta, Christopher D. Green, Jeremy Trevelyan Burman, Alexandros Karatzoglou, Patrick Mair, Gernot Salzer, Johannes Rauch and Reinhard Pichler. Their work appears in journals such as Journal of Statistical Software, History of Psychology, Journal of the History of the Behavioral Sciences, Computational Statistics & Data Analysis 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.