Daniel J. Buehrer

18 papers and 1.1k indexed citations i.

About

Daniel J. Buehrer is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel J. Buehrer has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel J. Buehrer’s work include Advanced Database Systems and Queries (5 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Daniel J. Buehrer is often cited by papers focused on Advanced Database Systems and Queries (5 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Daniel J. Buehrer collaborates with scholars based in Taiwan. Daniel J. Buehrer's co-authors include Wen-Bing Gau, Chin‐Chen Chang, Chia‐Chen Chang, Chuan Yi Tang and Tzu-Chuen Lu and has published in prestigious journals such as Pattern Recognition, Computers & Mathematics with Applications and Computers & Security.

In The Last Decade

Co-authorship network of co-authors of Daniel J. Buehrer i

Fields of papers citing papers by Daniel J. Buehrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel J. Buehrer

Since Specialization
Citations

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