Daniel Kayser

801 total citations
59 papers, 449 citations indexed

About

Daniel Kayser is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Daniel Kayser has authored 59 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Mechanical Engineering. Recurrent topics in Daniel Kayser's work include Semantic Web and Ontologies (8 papers), Logic, Reasoning, and Knowledge (6 papers) and Natural Language Processing Techniques (6 papers). Daniel Kayser is often cited by papers focused on Semantic Web and Ontologies (8 papers), Logic, Reasoning, and Knowledge (6 papers) and Natural Language Processing Techniques (6 papers). Daniel Kayser collaborates with scholars based in Germany, France and Canada. Daniel Kayser's co-authors include Gunilla Einecke, B. Sis, Philip F. Halloran, Michael Mengel, Konrad S. Famulski, J. Reeve, Wolfgang Osten, Wilfried Gwinner, Jessica Chang and Anke Schwarz and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Brain Research.

In The Last Decade

Daniel Kayser

52 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Kayser Germany 11 151 118 59 58 42 59 449
Mohamed Shehata Egypt 14 31 0.2× 45 0.4× 152 2.6× 122 2.1× 2 0.0× 55 648
B. Cohen Netherlands 14 123 0.8× 228 1.9× 20 0.3× 1 0.0× 71 1.7× 48 607
Charnchai Pluempitiwiriyawej Thailand 9 11 0.1× 27 0.2× 92 1.6× 301 5.2× 9 0.2× 26 500
Dongge Li United States 12 9 0.1× 61 0.5× 139 2.4× 453 7.8× 44 1.0× 37 861
Chi‐Huang Chen Taiwan 19 7 0.0× 96 0.8× 72 1.2× 14 0.2× 185 4.4× 79 1.1k
Dmytro Lituiev United States 12 4 0.0× 33 0.3× 227 3.8× 51 0.9× 34 0.8× 22 1.5k
Eriko Fukui Japan 11 4 0.0× 48 0.4× 38 0.6× 294 5.1× 30 0.7× 43 583
Muhammad Nadeem Pakistan 11 4 0.0× 46 0.4× 75 1.3× 203 3.5× 6 0.1× 63 429
Warren Chan United States 13 60 0.5× 12 0.2× 65 1.1× 41 1.0× 38 488
Yuzhou Zhang China 15 3 0.0× 13 0.1× 57 1.0× 9 0.2× 53 1.3× 51 986

Countries citing papers authored by Daniel Kayser

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kayser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kayser

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

All Works

20 of 20 papers shown
1.
Vosniadou, Stella, Daniel Kayser, & Athanassios Protopapas. (2017). Proceedings of the European Cognitive Science Conference 2007. 10 indexed citations
2.
Einecke, Gunilla, Daniel Kayser, Jessica M. Vanslambrouck, et al.. (2010). Loss of Solute Carriers in T Cell‐Mediated Rejection in Mouse and Human Kidneys: An Active Epithelial Injury–Repair Response. American Journal of Transplantation. 10(10). 2241–2251. 32 indexed citations
3.
Mengel, Michael, Jessica Chang, Daniel Kayser, et al.. (2010). The Molecular Phenotype of 6-Week Protocol Biopsies from Human Renal Allografts: Reflections of Prior Injury but Not Future Course. American Journal of Transplantation. 11(4). 708–718. 74 indexed citations
4.
Famulski, Konrad S., Daniel Kayser, Gunilla Einecke, et al.. (2010). Alternative Macrophage Activation‐Associated Transcripts in T‐Cell‐Mediated Rejection of Mouse Kidney Allografts. American Journal of Transplantation. 10(3). 490–497. 20 indexed citations
5.
Kayser, Daniel & Farid Nouioua. (2009). From the textual description of an accident to its causes. Artificial Intelligence. 173(12-13). 1154–1193. 8 indexed citations
6.
Bunnag, Sakarn, Gunilla Einecke, J. Reeve, et al.. (2009). Molecular Correlates of Renal Function in Kidney Transplant Biopsies. Journal of the American Society of Nephrology. 20(5). 1149–1160. 56 indexed citations
7.
Kayser, Daniel, Gunilla Einecke, Konrad S. Famulski, et al.. (2008). Donor Fas Is Not Necessary for T-Cell-Mediated Rejection of Mouse Kidney Allografts. American Journal of Transplantation. 8(10). 2049–2055. 8 indexed citations
8.
Heeren, Jöerg, et al.. (2006). Lipoprotein lipase-facilitated uptake of LDL is mediated by the LDL receptor. Journal of Lipid Research. 48(2). 288–298. 30 indexed citations
9.
Kayser, Daniel, Christoph Bourauel, Bert Braumann, & Andreas Jäger. (2002). Vergleich mechanischer Eigenschaften orthodontischer Nickel-Titan-Drähte / Comparison of the Mechanical Properties of Orthodontic Nickel-Titanium Wires. Biomedizinische Technik/Biomedical Engineering. 47(12). 334–342. 9 indexed citations
10.
Kayser, Daniel & Stella Vosniadou. (1999). Modelling Changes in Understanding: Case Studies in Physical Reasoning. Elsevier eBooks. 3 indexed citations
11.
Houdé, Olivier, Daniel Kayser, Olivier Koenig, Joëlle Proust, & François Rastier. (1998). Vocabulaire de sciences cognitives : neuroscience, psychologie, intelligence artificielle, linguistique et philosophie. Presses Universitaires de France eBooks. 2 indexed citations
12.
Mokhtari, Aïcha & Daniel Kayser. (1996). Normative and Epistemic Aspects in Causality.. European Conference on Artificial Intelligence. 28–32. 2 indexed citations
13.
Kayser, Daniel. (1990). Thruth and the interpretation of natural language: a non-monotonic variable-depth approach. European Conference on Artificial Intelligence. 392–397. 2 indexed citations
14.
Kayser, Daniel, et al.. (1986). Natural language and computers: a general survey of written text interpretation methods. 5(2). 103–128. 1 indexed citations
15.
Kayser, Daniel. (1982). An experiment in knowledge representation. European Conference on Artificial Intelligence. 119–124. 3 indexed citations
16.
Kayser, Daniel, et al.. (1982). La compréhension : un processus à profondeur variable. Bulletin de psychologie. 35(356). 815–823.
17.
Kayser, Daniel, et al.. (1981). Variable-depth natural language understanding. International Joint Conference on Artificial Intelligence. 64–66. 4 indexed citations
18.
Kayser, Daniel, et al.. (1979). Construction of Natural Language Sentence Acceptors by a Supervised-Learning Technique. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-1(1). 94–99. 1 indexed citations
19.
Deicher, H., et al.. (1971). [Prevention of Rhesus-sensitization by intravenous administration of immunoglobulin G anti-D. II. General prevention using low doses of IgG anti-D, adapted to the extent of fetomaternal transfusion].. PubMed. 31(10). 911–23. 3 indexed citations
20.
Hirsch, H., et al.. (1956). �berlebenszeit und Erholungslatenz des Warmbl�tergehirns unter dem Einflu� von Adrenalin und Nor-Adrenalin. Pflügers Archiv - European Journal of Physiology. 262(5). 413–418. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026