David Schneeberger

511 total citations · 1 hit paper
5 papers, 235 citations indexed

About

David Schneeberger is a scholar working on Artificial Intelligence, Safety Research and Information Systems and Management. According to data from OpenAlex, David Schneeberger has authored 5 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Safety Research and 2 papers in Information Systems and Management. Recurrent topics in David Schneeberger's work include Ethics and Social Impacts of AI (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). David Schneeberger is often cited by papers focused on Ethics and Social Impacts of AI (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). David Schneeberger collaborates with scholars based in Austria, Italy and Netherlands. David Schneeberger's co-authors include Andreas Holzinger, Alessa Angerschmid, Richard Röttger, Heimo Müller, Anna Saranti, Carl Orge Retzlaff, Peter Kieseberg, Federico Cabitza, Andrea Campagner and Gianclaudio Malgieri and has published in prestigious journals such as Communications of the ACM, Expert Systems with Applications and Cognitive Systems Research.

In The Last Decade

David Schneeberger

4 papers receiving 230 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists

2024 68 citations Carl Orge Retzlaff, Alessa Angerschmid et al. Cognitive Systems Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Schneeberger Austria	4	129	75	35	28	16	5	235
André Carrington Canada	3	203 1.6×	100 1.3×	38 1.1×	59 2.1×	11 0.7×	8	352
Alan Perotti Italy	8	204 1.6×	74 1.0×	26 0.7×	17 0.6×	18 1.1×	19	301
Wiard Jorritsma Netherlands	7	103 0.8×	64 0.9×	27 0.8×	49 1.8×	16 1.0×	11	224
Osamah Mohammed Alyasiri Iraq	9	123 1.0×	95 1.3×	11 0.3×	35 1.3×	30 1.9×	21	285
Michaela Kargl Austria	5	131 1.0×	74 1.0×	19 0.5×	48 1.7×	7 0.4×	8	200
Yifan Yang United States	7	199 1.5×	171 2.3×	14 0.4×	61 2.2×	16 1.0×	12	430
Dinesh Kalla United States	7	128 1.0×	92 1.2×	14 0.4×	26 0.9×	59 3.7×	21	280
Jan Trienes Germany	4	190 1.5×	44 0.6×	18 0.5×	13 0.5×	6 0.4×	6	250
Nigar M. Shafiq Surameery Iraq	5	149 1.2×	129 1.7×	28 0.8×	57 2.0×	40 2.5×	13	301
Andrey Povyakalo United Kingdom	10	101 0.8×	51 0.7×	12 0.3×	58 2.1×	23 1.4×	23	312

Countries citing papers authored by David Schneeberger

Since Specialization

Citations

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

Fields of papers citing papers by David Schneeberger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Schneeberger

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

All Works

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5 of 5 papers shown

1.

Schneeberger, David, et al.. (2025). Wissenskultur im KI-Zeitalter – eine Auseinandersetzung mit der KI-Kompetenz nach Art 4 AI Act und ihren praktischen Implikationen. 13(3). 250–257.

2.

Retzlaff, Carl Orge, Alessa Angerschmid, Anna Saranti, et al.. (2024). Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists. Cognitive Systems Research. 86. 101243–101243. 68 indexed citations breakdown →

3.

Cabitza, Federico, et al.. (2022). Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI. Expert Systems with Applications. 213. 118888–118888. 55 indexed citations

4.

Schneeberger, David, et al.. (2021). Medical artificial intelligence. Communications of the ACM. 64(11). 34–36. 80 indexed citations

5.

Schneeberger, David, et al.. (2021). Legal aspects of data cleansing in medical AI. Computer law & security review. 42. 105587–105587. 32 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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