Guus Schreiber

64 papers and 1.3k indexed citations i.

About

Guus Schreiber is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guus Schreiber has authored 64 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 19 papers in Information Systems and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guus Schreiber’s work include Semantic Web and Ontologies (36 papers), Natural Language Processing Techniques (11 papers) and Video Analysis and Summarization (9 papers). Guus Schreiber is often cited by papers focused on Semantic Web and Ontologies (36 papers), Natural Language Processing Techniques (11 papers) and Video Analysis and Summarization (9 papers). Guus Schreiber collaborates with scholars based in The Netherlands, United States and United Kingdom. Guus Schreiber's co-authors include Bob Wielinga, Robert de Hoog, Tianrui Li, Laura Hollink, Joost Breuker, Hans Akkermans, Walter Van de Velde, Willem Robert van Hage, Véronique Malaisé and Lora Aroyo and has published in prestigious journals such as Expert Systems with Applications, Computer Methods and Programs in Biomedicine and International Journal of Human-Computer Studies.

In The Last Decade

Co-authorship network of co-authors of Guus Schreiber i

Fields of papers citing papers by Guus Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guus Schreiber

Since Specialization
Citations

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