J. Siekmann

8 papers and 114 indexed citations i.

About

J. Siekmann is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, J. Siekmann has authored 8 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Information Systems. Recurrent topics in J. Siekmann’s work include Natural Language Processing Techniques (1 paper), Digital and Cyber Forensics (1 paper) and Biomedical Text Mining and Ontologies (1 paper). J. Siekmann is often cited by papers focused on Natural Language Processing Techniques (1 paper), Digital and Cyber Forensics (1 paper) and Biomedical Text Mining and Ontologies (1 paper). J. Siekmann collaborates with scholars based in Germany, United States and Australia. J. Siekmann's co-authors include Ralf Kompe, Jaime G. Carbonell, Michael Reinfrank, Ipke Wachsmuth, Jaime Carbonell, Margaret King, Jaime Carbonell, Joachim Hertzberg, J. Hartmanis and Klaus P. Jantke and has published in prestigious journals such as Lecture notes in computer science and John Wiley & Sons, Inc. eBooks.

In The Last Decade

Co-authorship network of co-authors of J. Siekmann i

Fields of papers citing papers by J. Siekmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by J. Siekmann

Since Specialization
Citations

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

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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