Florian Kunneman

759 citations
30 papers · 445 · h-index 9

Impact in

Papers in

    • Advanced Text Analysis Techniques 7
    • Topic Modeling 7
    • Sentiment Analysis and Opinion Mining 6
    • AI in Service Interactions 5
    • Speech and dialogue systems 4
    • Natural Language Processing Techniques 4
    • Hate Speech and Cyberbullying Detection 3
    • Complex Network Analysis Techniques 8

Florian Kunneman

27 papers receiving 414 citations

Peers

Florian Kunneman
Comparison fields: 5 of 61
  • Artificial Intelligence 296
  • Experimental and Cognitive Psychology 58
  • Communication 30
  • Human-Computer Interaction 19
  • Social Psychology 50
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Citations per field
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Citations per year

Countries citing papers authored by Florian Kunneman

Since Specialization
Citations

This map shows the geographic impact of Florian Kunneman'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 Florian Kunneman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Kunneman more than expected).

Fields of papers citing papers by Florian Kunneman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florian Kunneman. 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 Florian Kunneman. The network helps show where Florian Kunneman may publish in the future.

Co-authors

The 25 scholars most cited alongside Florian Kunneman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Florian Kunneman Line = papers co-authored together Florian Kunneman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The perfect solution for detecting sarcasm in tweets #not
2013150
2 201772
3 201472
4 202028
5 201420
6 201912
7
Event detection in Twitter: A machine-learning approach based on term pivoting
201412
8 201911
9 201610
10 20248
11 20237
12
Estimating the time between Twitter messages and future events
20135
13 20194
14 20164
15
Leveraging unscheduled event prediction through mining scheduled event tweets
20124
16
Predicting time-to-event from Twitter messages
20134
17 20254
18 20213
19
Aspect-based summarization of pros and cons in unstructured product reviews
20183
20 20233

About Florian Kunneman

Florian Kunneman is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Communication, Social Psychology and Information Systems, having authored 30 papers that have together received 445 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Advanced Text Analysis Techniques (7 papers), Topic Modeling (7 papers), Sentiment Analysis and Opinion Mining (6 papers), AI in Service Interactions (5 papers), Speech and dialogue systems (4 papers), Natural Language Processing Techniques (4 papers) and Hate Speech and Cyberbullying Detection (3 papers). The work is most often cited by research in Artificial Intelligence (296 citations), Experimental and Cognitive Psychology (58 citations), Communication (30 citations), Human-Computer Interaction (19 citations) and Social Psychology (50 citations). Florian Kunneman has collaborated with scholars based in Netherlands, Germany and South Korea. Frequent co-authors include Antal van den Bosch, Christine Liebrecht, M.J.P. van Mulken, Enny Das, Bob van de Velde, Hande Sungur, Albert Wong, Mattijs Lambooij, Liesbeth Mollema and Koen V. Hindriks. Their work appears in journals such as Journal of Medical Internet Research, Information and Software Technology, Natural Language Engineering, PLoS ONE and Information Processing & Management.

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.

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