Daniel Gruhl

23 papers and 2.4k indexed citations i.

About

Daniel Gruhl is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Daniel Gruhl has authored 23 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in Daniel Gruhl’s work include Web Data Mining and Analysis (7 papers), Semantic Web and Ontologies (7 papers) and Data Quality and Management (4 papers). Daniel Gruhl is often cited by papers focused on Web Data Mining and Analysis (7 papers), Semantic Web and Ontologies (7 papers) and Data Quality and Management (4 papers). Daniel Gruhl collaborates with scholars based in United States and Japan. Daniel Gruhl's co-authors include Walter Bender, Norishige Morimoto, Jim Spohrer, Paul P. Maglio, J. Bailey, Andrew Tomkins, R. Guha, David Liben‐Nowell, David Gibson and Jason Y. Zien and has published in prestigious journals such as Communications of the ACM, Computer and Computer Networks.

In The Last Decade

Co-authorship network of co-authors of Daniel Gruhl i

Fields of papers citing papers by Daniel Gruhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Gruhl

Since Specialization
Citations

This map shows the geographic impact of Daniel Gruhl'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 Gruhl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gruhl 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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2025