Kai Eckert

113 total papers · 830 total citations
38 papers, 246 citations indexed

About

Kai Eckert is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management. According to data from OpenAlex, Kai Eckert has authored 38 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 15 papers in Information Systems and 9 papers in Information Systems and Management. Recurrent topics in Kai Eckert's work include Semantic Web and Ontologies (19 papers), Advanced Text Analysis Techniques (9 papers) and Scientific Computing and Data Management (9 papers). Kai Eckert is often cited by papers focused on Semantic Web and Ontologies (19 papers), Advanced Text Analysis Techniques (9 papers) and Scientific Computing and Data Management (9 papers). Kai Eckert collaborates with scholars based in Germany, United States and United Kingdom. Kai Eckert's co-authors include Anne Lauscher, Goran Glavaš, Simone Paolo Ponzetto, Heiner Stuckenschmidt, Heiko Paulheim, Christian Bizer, Stefano Faralli, Robert Meusel, Dominique Ritze and Cameron Buckner and has published in prestigious journals such as Language Resources and Evaluation, Journal of the Association for Information Science and Technology and Library Hi Tech.

In The Last Decade

Kai Eckert

34 papers receiving 206 citations

Author Peers

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

Author						Papers	Cites
Kai Eckert	199	83	43	33	27	38	246
Ingo Frommholz	193 1.0×	117 1.4×	18 0.4×	26 0.8×	22 0.8×	56	305
Michiel Hildebrand	194 1.0×	121 1.5×	33 0.8×	27 0.8×	35 1.3×	24	294
Osma Suominen	218 1.1×	88 1.1×	40 0.9×	42 1.3×	18 0.7×	27	265
Alicia Ageno	167 0.8×	102 1.2×	17 0.4×	15 0.5×	22 0.8×	24	277
Ceri Binding	158 0.8×	106 1.3×	36 0.8×	24 0.7×	16 0.6×	26	260
Danilo Dessı̀	182 0.9×	65 0.8×	29 0.7×	30 0.9×	15 0.6×	34	276
Yannis Katsis	188 0.9×	49 0.6×	55 1.3×	28 0.8×	37 1.4×	31	294
Jean Lieber	225 1.1×	65 0.8×	46 1.1×	31 0.9×	44 1.6×	47	302
Mirva Salminen	216 1.1×	129 1.6×	19 0.4×	28 0.8×	67 2.5×	25	303
Agnieszka Ławrynowicz	188 0.9×	95 1.1×	76 1.8×	27 0.8×	24 0.9×	41	266

Countries citing papers authored by Kai Eckert

Since Specialization

Citations

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

Fields of papers citing papers by Kai Eckert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Eckert

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

All Works

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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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