Kacper Sokol

1.1k total citations
23 papers, 286 citations indexed

About

Kacper Sokol is a scholar working on Artificial Intelligence, Safety Research and Information Systems and Management. According to data from OpenAlex, Kacper Sokol has authored 23 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 7 papers in Safety Research and 4 papers in Information Systems and Management. Recurrent topics in Kacper Sokol's work include Explainable Artificial Intelligence (XAI) (17 papers), Adversarial Robustness in Machine Learning (11 papers) and Ethics and Social Impacts of AI (7 papers). Kacper Sokol is often cited by papers focused on Explainable Artificial Intelligence (XAI) (17 papers), Adversarial Robustness in Machine Learning (11 papers) and Ethics and Social Impacts of AI (7 papers). Kacper Sokol collaborates with scholars based in United Kingdom, Switzerland and Australia. Kacper Sokol's co-authors include Peter Flach, Raúl Santos‐Rodríguez, Matthew Clifford, James C. Fackler, Julia E. Vogt, Marc Langheinrich, Jeffrey Chan, Hao Song, Tom Diethe and Martin Gjoreski and has published in prestigious journals such as Machine Learning, International Journal of Human-Computer Studies and npj Digital Medicine.

In The Last Decade

Kacper Sokol

22 papers receiving 280 citations

Peers

Countries citing papers authored by Kacper Sokol

Since Specialization

Citations

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

Fields of papers citing papers by Kacper Sokol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kacper Sokol

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

#	Work	Indexed citations
1	Leveraging Complementary AI Explanations to Mitigate Misunderstanding in XAI 2025 ·ArXiv.org ·(unknown), Kacper Sokol, Mark Sanderson, Jeffrey Chan	1
2	LIMETREE: Consistent and Faithful Surrogate Explanations of Multiple Classes 2025 ·Electronics ·Kacper Sokol, Peter Flach	2
3	Artificial intelligence should genuinely support clinical reasoning and decision making to bridge the translational gap 2025 ·npj Digital Medicine ·Kacper Sokol, James C. Fackler, Julia E. Vogt	8
4	Navigating explanatory multiverse through counterfactual path geometry 2025 ·Machine Learning ·Kacper Sokol, (unknown), (unknown)	1
5	Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity 2024 ·Kacper Sokol, Meelis Kull, Jeffrey Chan, Flora D. Salim	0
6	Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread 2024 ·ACM Transactions on Spatial Algorithms and Systems ·Andreas Züfle, Flora D. Salim, (unknown), Matthew Scotch, Li Xiong, Kacper Sokol, Hao Xue, (unknown), David Heslop, Hye-Young Paik, C. Raina MacIntyre	1
7	Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness 2024 ·Repository for Publications and Research Data (ETH Zurich) ·(unknown), Kacper Sokol, (unknown), Flora D. Salim, Jeffrey Chan	2
8	Comprehension is a double-edged sword: Over-interpreting unspecified information in intelligible machine learning explanations 2024 ·International Journal of Human-Computer Studies ·(unknown), (unknown), Kacper Sokol, Danula Hettiachchi, Mark Sanderson	4
9	Interpretable representations in explainable AI: from theory to practice 2024 ·Data Mining and Knowledge Discovery ·Kacper Sokol, Peter Flach	5
10	FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency[Formula presented] 2022 ·RMIT Research Repository (RMIT University Library) ·Kacper Sokol, Raúl Santos‐Rodríguez, Peter Flach	15
11	BayCon: Model-agnostic Bayesian Counterfactual Generator 2022 ·Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence ·(unknown), Martin Gjoreski, Kacper Sokol, María Vanina Martínez, Marc Langheinrich	5
12	What and How of Machine Learning Transparency:Building Bespoke Explainability Tools withInteroperable Algorithmic Components 2022 ·Bristol Research (University of Bristol) ·Kacper Sokol, (unknown), Raúl Santos‐Rodríguez, Peter Flach	3
13	One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency 2020 ·Explore Bristol Research ·Kacper Sokol, Peter Flach	12
14	FAT Forensics: A Python Toolbox for Implementing andDeploying Fairness, Accountability and TransparencyAlgorithms in Predictive Systems 2020 ·The Journal of Open Source Software ·Kacper Sokol, (unknown), (unknown), Matthew Clifford, Raúl Santos‐Rodríguez, Peter Flach	24
15	One Explanation Does Not Fit All 2020 ·KI - Künstliche Intelligenz ·Kacper Sokol, Peter Flach	92
16	Counterfactual explanations of machine learning predictions: Opportunities and challenges for AI safety 2019 ·Explore Bristol Research ·Kacper Sokol, Peter Flach	23
17	Fairness, Accountability and Transparency in Artificial Intelligence 2019 ·Kacper Sokol	6
18	Glass-Box: Explaining AI Decisions With Counterfactual Statements Through Conversation With a Voice-enabled Virtual Assistant 2018 ·Kacper Sokol, Peter Flach	38
19	Releasing eHealth Analytics into the Wild 2018 ·Explore Bristol Research ·Tom Diethe, Michael W.R. Holmes, Meelis Kull, Miquel Perelló-Nieto, Kacper Sokol, Hao Song, Emma L. Tonkin, Niall Twomey, Peter Flach	11
20	The Role of Textualisation and Argumentation in Understanding the Machine Learning Process 2017 ·Bristol Research (University of Bristol) ·Kacper Sokol, Peter Flach	1

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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