Daan Kolkman

409 total citations
10 papers, 239 citations indexed

About

Daan Kolkman is a scholar working on Safety Research, Artificial Intelligence and Political Science and International Relations. According to data from OpenAlex, Daan Kolkman has authored 10 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Safety Research, 3 papers in Artificial Intelligence and 2 papers in Political Science and International Relations. Recurrent topics in Daan Kolkman's work include Ethics and Social Impacts of AI (4 papers), Big Data and Business Intelligence (2 papers) and E-Government and Public Services (2 papers). Daan Kolkman is often cited by papers focused on Ethics and Social Impacts of AI (4 papers), Big Data and Business Intelligence (2 papers) and E-Government and Public Services (2 papers). Daan Kolkman collaborates with scholars based in Netherlands, Belgium and United States. Daan Kolkman's co-authors include A. van Witteloostuijn, Floris Bex and Gwendolyn K. Lee and has published in prestigious journals such as PLoS ONE, Government Information Quarterly and Information Communication & Society.

In The Last Decade

Daan Kolkman

10 papers receiving 232 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daan Kolkman	119	67	66	47	33	10	239
Benjamin Sturm	83 0.7×	45 0.7×	41 0.6×	59 1.3×	27 0.8×	11	238
Matthew Scherer	139 1.2×	104 1.6×	68 1.0×	50 1.1×	65 2.0×	9	352
James Grimmelmann	50 0.4×	78 1.2×	120 1.8×	67 1.4×	30 0.9×	66	296
Emmie Hine	136 1.1×	88 1.3×	77 1.2×	46 1.0×	45 1.4×	33	333
Johann Laux	154 1.3×	116 1.7×	56 0.8×	47 1.0×	44 1.3×	16	318
Raphaël Gellert	71 0.6×	84 1.3×	156 2.4×	56 1.2×	53 1.6×	30	299
Oskar Josef Gstrein	50 0.4×	72 1.1×	113 1.7×	105 2.2×	47 1.4×	40	303
Roxana Radu	71 0.6×	74 1.1×	124 1.9×	41 0.9×	118 3.6×	23	345
Fábio Motoki	46 0.4×	81 1.2×	59 0.9×	20 0.4×	13 0.4×	27	241
Jonas Schuett	145 1.2×	131 2.0×	41 0.6×	39 0.8×	18 0.5×	13	310

Countries citing papers authored by Daan Kolkman

Since Specialization

Citations

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

Fields of papers citing papers by Daan Kolkman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daan Kolkman

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

All Works

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10 of 10 papers shown

Kolkman, Daan, et al.. (2024). Algorithmic models through a representational lens. The Information Society. 41(1). 33–50. 1 indexed citations

Kolkman, Daan, Gwendolyn K. Lee, & A. van Witteloostuijn. (2024). Data science and automation in the process of theorizing: Machine learning’s power of induction in the co-duction cycle. PLoS ONE. 19(11). e0309318–e0309318. 2 indexed citations

Kolkman, Daan, et al.. (2024). Justitia ex machina: The impact of an AI system on legal decision-making and discretionary authority. Big Data & Society. 11(2). 2 indexed citations

Kolkman, Daan. (2020). The usefulness of algorithmic models in policy making. SocArXiv (OSF Preprints). 4 indexed citations

Kolkman, Daan. (2020). The usefulness of algorithmic models in policy making. Government Information Quarterly. 37(3). 101488–101488. 40 indexed citations

Kolkman, Daan. (2020). The (in)credibility of algorithmic models to non-experts. Information Communication & Society. 25(1). 93–109. 20 indexed citations

Kolkman, Daan, et al.. (2019). Challenges to Data Science Projects with SMEs: An Analysis and Decision Support Tool. SSRN Electronic Journal. 1 indexed citations

Kolkman, Daan, et al.. (2018). Transparent to whom? No algorithmic accountability without a critical audience. Information Communication & Society. 22(14). 2081–2096. 145 indexed citations

Witteloostuijn, A. van & Daan Kolkman. (2018). Is firm growth random? A machine learning perspective. Journal of Business Venturing Insights. 11. e00107–e00107. 23 indexed citations

10.

Kolkman, Daan, et al.. (2017). Glitch Studies and the Ambiguous Objectivity of Algorithms. SSRN Electronic Journal. 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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