Daniel Salber

7 papers and 1.1k indexed citations i.

About

Daniel Salber is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Daniel Salber has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Daniel Salber’s work include Personal Information Management and User Behavior (3 papers), Context-Aware Activity Recognition Systems (3 papers) and Usability and User Interface Design (2 papers). Daniel Salber is often cited by papers focused on Personal Information Management and User Behavior (3 papers), Context-Aware Activity Recognition Systems (3 papers) and Usability and User Interface Design (2 papers). Daniel Salber collaborates with scholars based in United States, France and Japan. Daniel Salber's co-authors include Anind K. Dey, Gregory D. Abowd, Masayasu Futakawa, A. Smailagic, J. Robert Beck, Francine Gemperle, Stefan Weber, Joshua Anhalt, Daniel P. Siewiorek and Philip Barnard and has published in prestigious journals such as Knowledge-Based Systems, IEEE Intelligent Systems and Behaviour and Information Technology.

In The Last Decade

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

Fields of papers citing papers by Daniel Salber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Salber

Since Specialization
Citations

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