Florian Kunneman

748 total citations
29 papers, 432 citations indexed

About

Florian Kunneman is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Communication. According to data from OpenAlex, Florian Kunneman has authored 29 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 8 papers in Statistical and Nonlinear Physics and 5 papers in Communication. Recurrent topics in Florian Kunneman's work include Complex Network Analysis Techniques (8 papers), Topic Modeling (7 papers) and Advanced Text Analysis Techniques (7 papers). Florian Kunneman is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Topic Modeling (7 papers) and Advanced Text Analysis Techniques (7 papers). Florian Kunneman collaborates with scholars based in Netherlands, Italy and South Korea. Florian Kunneman's co-authors include Antal van den Bosch, Christine Liebrecht, M.J.P. van Mulken, Bob van de Velde, Enny Das, Mattijs Lambooij, Albert Wong, Liesbeth Mollema, Lidwien van de Wijngaert and Ben P. Miller and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medical Internet Research.

In The Last Decade

Florian Kunneman

26 papers receiving 401 citations

Peers

Florian Kunneman

SPS

ECP

Hyeju Jang United States

Samira Shaikh United States

Eduardo Blanco United States

Zhiyuan Lin United States

Tuo Liu Germany

Debanjan Mahata India

Marco Guerini Italy

Farah Benamara France

Rakhi Batra Pakistan

Saadia Gabriel United States

Hyeju Jang United States

Florian Kunneman

286 ×1.0

118 ×1.2

SPS

57 ×1.0

ECP

45 ×0.9

54 ×1.1

Citations per year, relative to Florian Kunneman Florian Kunneman (= 1×) peers Hyeju Jang

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-authorship network of co-authors of Florian Kunneman

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Kunneman. A scholar is included among the top collaborators of Florian Kunneman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florian Kunneman. Florian Kunneman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hindriks, Koen V., et al.. (2025). What Can You Say to a Robot? Capability Communication Leads to More Natural Conversations. VU Research Portal. 708–716. 1 indexed citations

Spooren, Wilbert, Antal van den Bosch, Christian Burgers, et al.. (2024). Taming our Wild Data. SHILAP Revista de lepidopterología. 13. 1 indexed citations

Kunneman, Florian, et al.. (2024). A Survey on Dialogue Management in Human-robot Interaction. ACM Transactions on Human-Robot Interaction. 13(2). 1–22. 7 indexed citations

Kunneman, Florian, et al.. (2023). Reconfiguring the Customer Service Domain: Perspectives of Managers, Conversational Designers, and Human Agents on Human–Chatbot Collaboration. International Journal of Innovation and Technology Management. 21(4). 2 indexed citations

Zuiderent‐Jerak, Teun, Florian Kunneman, Elena V. Syurina, et al.. (2023). Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study. Journal of Medical Internet Research. 25. e44461–e44461. 2 indexed citations

Hendrickx, Iris, Federica Cena, Luigi Di, et al.. (2021). Towards a New generation of Personalized Intelligent Conversational Agents. University of Twente Research Information. 373–374. 3 indexed citations

Kunneman, Florian, Mattijs Lambooij, Albert Wong, Antal van den Bosch, & Liesbeth Mollema. (2020). \nMonitoring stance towards vaccination in twitter messages. Radboud Repository (Radboud University). 27 indexed citations

Kunneman, Florian, Thiago Castro Ferreira, Emiel Krahmer, & Antal van den Bosch. (2019). Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and Models. KNAW research portal (Royal Academy of Art and Sciences (KNAW)). 593–601. 4 indexed citations

Oostdijk, Nelleke, et al.. (2019). Fora fuelling the discovery of fortified dietary supplements – An exploratory study directed at monitoring the internet for contaminated food supplements based on the reported effects of their users. PLoS ONE. 14(5). e0215858–e0215858. 1 indexed citations

10.

Kunneman, Florian, et al.. (2019). Connecting social media data and crisis communication theory: a case study on the chicken and the egg. Journal of Risk Research. 23(10). 1259–1277. 11 indexed citations

11.

Kunneman, Florian, Thiago Castro Ferreira, Antal van den Bosch, & Emiel Krahmer. (2019). Question similarity in community question answering: A systematic exploration of preprocessing methods and models. Data Archiving and Networked Services (DANS). 1 indexed citations

12.

Kunneman, Florian, et al.. (2018). Detecting and correcting spelling errors in high-quality Dutch Wikipedia text. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 8. 122–137. 1 indexed citations

13.

Hendrickx, Iris, et al.. (2018). Unraveling reported dreams with text analytics. Digital humanities quarterly. 11(4).

14.

Kunneman, Florian, Sander Wubben, Antal van den Bosch, & Emiel Krahmer. (2018). Aspect-based summarization of pros and cons in unstructured product reviews. Data Archiving and Networked Services (DANS). 2219–2229. 3 indexed citations

15.

Kunneman, Florian, et al.. (2017). Too Far to Care? Measuring Public Attention and Fear for Ebola Using Twitter. Journal of Medical Internet Research. 19(6). e193–e193. 71 indexed citations

16.

Kunneman, Florian & Antal van den Bosch. (2016). Open-domain extraction of future events from Twitter. Natural Language Engineering. 22(5). 655–686. 10 indexed citations

17.

Kunneman, Florian & Antal van den Bosch. (2015). Automatically Identifying Periodic Social Events from Twitter. Radboud Repository (Radboud University). 320–328.

18.

Liebrecht, Christine, Florian Kunneman, & Antal van den Bosch. (2013). The perfect solution for detecting sarcasm in tweets #not. Data Archiving and Networked Services (DANS). 29–37. 149 indexed citations

19.

Hürriyetoğlu, Ali, Florian Kunneman, & Antal van den Bosch. (2013). Estimating the time between Twitter messages and future events. Radboud Repository (Radboud University). 20–23. 5 indexed citations

20.

Bosch, Antal van den, et al.. (2013). Predicting time-to-event from Twitter messages. Research Repository (Delft University of Technology). 4 indexed citations

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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