Bob van de Velde

669 total citations
13 papers, 336 citations indexed

About

Bob van de Velde is a scholar working on Artificial Intelligence, Communication and Sociology and Political Science. According to data from OpenAlex, Bob van de Velde has authored 13 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Communication and 5 papers in Sociology and Political Science. Recurrent topics in Bob van de Velde's work include Computational and Text Analysis Methods (3 papers), Topic Modeling (3 papers) and Misinformation and Its Impacts (2 papers). Bob van de Velde is often cited by papers focused on Computational and Text Analysis Methods (3 papers), Topic Modeling (3 papers) and Misinformation and Its Impacts (2 papers). Bob van de Velde collaborates with scholars based in Netherlands. Bob van de Velde's co-authors include Theo Araujo, Mark Boukes, Rens Vliegenthart, Albert Meijer, Vincent Homburg, Florian Kunneman, Enny Das, Claes H. de Vreese, Irina Lock and Joanna Strycharz and has published in prestigious journals such as Journal of Medical Internet Research, New Media & Society and Behaviour and Information Technology.

In The Last Decade

Bob van de Velde

13 papers receiving 324 citations

Peers

Bob van de Velde
Merja Mahrt Germany
Miyoung Chong United States
Dror Walter United States
Nel Ruigrok Netherlands
Sejung Park South Korea
Ho-Chun Herbert Chang United States
Felix M. Simon United Kingdom
Philip Habel United Kingdom
Michael W. Kearney United States
Merja Mahrt Germany
Bob van de Velde
Citations per year, relative to Bob van de Velde Bob van de Velde (= 1×) peers Merja Mahrt

Countries citing papers authored by Bob van de Velde

Since Specialization
Citations

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

Fields of papers citing papers by Bob van de Velde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bob van de Velde. 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 Bob van de Velde. The network helps show where Bob van de Velde may publish in the future.

Co-authorship network of co-authors of Bob van de Velde

This figure shows the co-authorship network connecting the top 25 collaborators of Bob van de Velde. A scholar is included among the top collaborators of Bob van de Velde 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 Bob van de Velde. Bob van de Velde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Bodó, Balázs, Natali Helberger, Kristina Irion, et al.. (2025). Tackling the Algorithmic Control Crisis -- the Technical, Legal, and Ethical Challenges of Research into Algorithmic Agents. UvA-DARE (University of Amsterdam). 19(1). 133–180. 3 indexed citations
2.
Araujo, Theo, Jef Ausloos, Wouter van Atteveldt, et al.. (2022). OSD2F: An Open-Source Data Donation Framework. VU Research Portal. 4(2). 372–387. 32 indexed citations
3.
Bol, Nadine, Joanna Strycharz, Natali Helberger, Bob van de Velde, & Claes H. de Vreese. (2020). Vulnerability in a tracked society: Combining tracking and survey data to understand who gets targeted with what content. New Media & Society. 22(11). 1996–2017. 29 indexed citations
4.
Araujo, Theo, Irina Lock, & Bob van de Velde. (2020). Automated Visual Content Analysis (AVCA) in Communication Research: A Protocol for Large Scale Image Classification with Pre-Trained Computer Vision Models. Communication Methods and Measures. 14(4). 239–265. 21 indexed citations
5.
Boukes, Mark, Bob van de Velde, Theo Araujo, & Rens Vliegenthart. (2019). What’s the Tone? Easy Doesn’t Do It: Analyzing Performance and Agreement Between Off-the-Shelf Sentiment Analysis Tools. Communication Methods and Measures. 14(2). 83–104. 83 indexed citations
6.
Trilling, Damian, Bob van de Velde, Anne C. Kroon, et al.. (2018). INCA: Infrastructure for Content Analysis. UvA-DARE (University of Amsterdam). 329–330. 8 indexed citations
7.
Linmans, Jasper, Bob van de Velde, & Evangelos Kanoulas. (2018). Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions. UvA-DARE (University of Amsterdam). 1647–1650. 2 indexed citations
8.
Aroyo, Lora, et al.. (2017). ControCurator: Understanding Controversy Using Collective Intelligence. Data Archiving and Networked Services (DANS). 5 indexed citations
9.
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
10.
Beelen, Kaspar, Evangelos Kanoulas, & Bob van de Velde. (2017). Detecting Controversies in Online News Media. UvA-DARE (University of Amsterdam). 1069–1072. 5 indexed citations
11.
Vermeulen, Ivar, et al.. (2015). Blinded by the Light: How a Focus on Statistical “Significance” May Causep-Value Misreporting and an Excess ofp-Values Just Below .05 in Communication Science. Communication Methods and Measures. 9(4). 253–279. 26 indexed citations
12.
Velde, Bob van de, Albert Meijer, & Vincent Homburg. (2014). Police message diffusion on Twitter: analysing the reach of social media communications. Behaviour and Information Technology. 34(1). 4–16. 50 indexed citations
13.
Velde, Bob van de, et al.. (2013). Het maatschappelijk middenveld in beweging. Bestuurskunde. 22(1). 13–22. 1 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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