Jakob Mökander

1.1k total citations
27 papers, 582 citations indexed

About

Jakob Mökander is a scholar working on Safety Research, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jakob Mökander has authored 27 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Safety Research, 14 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Jakob Mökander's work include Ethics and Social Impacts of AI (22 papers), Law, AI, and Intellectual Property (8 papers) and Artificial Intelligence in Healthcare and Education (6 papers). Jakob Mökander is often cited by papers focused on Ethics and Social Impacts of AI (22 papers), Law, AI, and Intellectual Property (8 papers) and Artificial Intelligence in Healthcare and Education (6 papers). Jakob Mökander collaborates with scholars based in United Kingdom, United States and Italy. Jakob Mökander's co-authors include Luciano Floridi, Hannah Rose Kirk, Jonas Schuett, David Watson, Mariarosaria Taddeo, Matthias Holweg, Ralph Schroeder, Marta Ziosi, Jessica Morley and Libby Kinsey and has published in prestigious journals such as Nature Machine Intelligence, Social Science Computer Review and AI & Society.

In The Last Decade

Jakob Mökander

25 papers receiving 548 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jakob Mökander United Kingdom	11	326	271	157	95	79	27	582
Pranay Lohia India	6	358 1.1×	354 1.3×	96 0.6×	84 0.9×	42 0.5×	13	650
Parker Barnes United States	2	350 1.1×	292 1.1×	113 0.7×	100 1.1×	42 0.5×	2	554
Nathalie A. Smuha Belgium	9	286 0.9×	196 0.7×	74 0.5×	64 0.7×	68 0.9×	14	555
Jamila Smith-Loud United States	2	283 0.9×	220 0.8×	94 0.6×	74 0.8×	38 0.5×	2	436
Sahil Verma India	5	366 1.1×	364 1.3×	80 0.5×	72 0.8×	58 0.7×	5	636
S. Nagar United States	4	239 0.7×	222 0.8×	76 0.5×	72 0.8×	32 0.4×	10	478
Manish Raghavan United States	9	345 1.1×	306 1.1×	57 0.4×	69 0.7×	72 0.9×	28	632
Ekaterina Jussupow Germany	7	141 0.4×	146 0.5×	113 0.7×	35 0.4×	35 0.4×	14	431
Nina Grgić-Hlača Germany	10	308 0.9×	208 0.8×	45 0.3×	53 0.6×	72 0.9×	15	447
Michelle Seng Ah Lee United Kingdom	9	248 0.8×	153 0.6×	44 0.3×	62 0.7×	40 0.5×	18	357

Countries citing papers authored by Jakob Mökander

Since Specialization

Citations

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

Fields of papers citing papers by Jakob Mökander

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakob Mökander

This figure shows the co-authorship network connecting the top 25 collaborators of Jakob Mökander. A scholar is included among the top collaborators of Jakob Mökander 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 Jakob Mökander. Jakob Mökander 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

Thomas, Chris D., Huw Roberts, Jakob Mökander, et al.. (2024). The Case for a Broader Approach to AI Assurance: Addressing 'Hidden' Harms in the Development of Artificial Intelligence. SSRN Electronic Journal. 2 indexed citations

Mökander, Jakob & Ralph Schroeder. (2024). Artificial Intelligence, Rationalization, and the Limits of Control in the Public Sector: The Case of Tax Policy Optimization. Social Science Computer Review. 42(6). 1359–1378. 6 indexed citations

Watson, David, Jakob Mökander, & Luciano Floridi. (2024). Competing narratives in AI ethics: a defense of sociotechnical pragmatism. AI & Society. 40(5). 3163–3185. 3 indexed citations

Mökander, Jakob & Ralph Schroeder. (2024). Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization. SSRN Electronic Journal.

Thomas, Christopher E., Huw Roberts, Jakob Mökander, et al.. (2024). The case for a broader approach to AI assurance: addressing “hidden” harms in the development of artificial intelligence. AI & Society. 40(3). 1469–1484. 7 indexed citations

Mökander, Jakob, et al.. (2023). The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems. Minds and Machines. 33(1). 221–248. 8 indexed citations

Ziosi, Marta, Jakob Mökander, Claudio Novelli, et al.. (2023). The EU AI Liability Directive: shifting the burden from proof to evidence. SSRN Electronic Journal. 5 indexed citations

Mökander, Jakob, Jonas Schuett, Hannah Rose Kirk, & Luciano Floridi. (2023). Auditing Large Language Models: A Three-Layered Approach. SSRN Electronic Journal. 41 indexed citations

Mökander, Jakob, Jonas Schuett, Hannah Rose Kirk, & Luciano Floridi. (2023). Auditing large language models: a three-layered approach. AI and Ethics. 4(4). 1085–1115. 93 indexed citations

10.

Mökander, Jakob. (2023). Auditing of AI: Legal, Ethical and Technical Approaches. arXiv (Cornell University). 2(3). 41 indexed citations

11.

Mökander, Jakob, Margi Sheth, David M. Watson, & Luciano Floridi. (2022). Models for Classifying AI Systems: the Switch, the Ladder, and the Matrix. 1016–1016. 3 indexed citations

12.

Mökander, Jakob & Luciano Floridi. (2022). Operationalising AI governance through ethics-based auditing: an industry case study. AI and Ethics. 3(2). 451–468. 53 indexed citations

13.

Mökander, Jakob, et al.. (2022). Models for Classifying AI Systems: The Switch, the Ladder, and the Matrix. SSRN Electronic Journal. 1 indexed citations

14.

Floridi, Luciano, et al.. (2022). capAI - A Procedure for Conducting Conformity Assessment of AI Systems in Line with the EU Artificial Intelligence Act. SSRN Electronic Journal. 64 indexed citations

15.

Mökander, Jakob & Luciano Floridi. (2022). From algorithmic accountability to digital governance. Nature Machine Intelligence. 4(6). 508–509. 12 indexed citations

16.

Mökander, Jakob & Luciano Floridi. (2022). Operationalising AI Governance through Ethics-Based Auditing: An Industry Case Study. SSRN Electronic Journal. 8 indexed citations

17.

Mökander, Jakob & Luciano Floridi. (2021). Ethics-Based Auditing to Develop Trustworthy AI. Minds and Machines. 31(2). 323–327. 114 indexed citations

18.

Morley, Jessica, et al.. (2021). Ethics as a service: a pragmatic operationalisation of AI Ethics. SSRN Electronic Journal. 18 indexed citations

19.

Mökander, Jakob, et al.. (2021). Ethics-based auditing of automated decision-making systems: intervention points and policy implications. AI & Society. 38(1). 153–171. 21 indexed citations

20.

Mökander, Jakob. (2014). Demand Response in the Future Swedish Electricity Market : A typology based on cost, volume and feasibility. KTH Publication Database DiVA (KTH Royal Institute of Technology). 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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