Daniel Haas

36 papers and 813 indexed citations i.

About

Daniel Haas is a scholar working on Artificial Intelligence, Materials Chemistry and Media Technology. According to data from OpenAlex, Daniel Haas has authored 36 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Materials Chemistry and 7 papers in Media Technology. Recurrent topics in Daniel Haas’s work include Remote-Sensing Image Classification (7 papers), Mobile Crowdsensing and Crowdsourcing (5 papers) and Infrared Target Detection Methodologies (5 papers). Daniel Haas is often cited by papers focused on Remote-Sensing Image Classification (7 papers), Mobile Crowdsensing and Crowdsourcing (5 papers) and Infrared Target Detection Methodologies (5 papers). Daniel Haas collaborates with scholars based in United States, Germany and Canada. Daniel Haas's co-authors include Alexander Rack, Timm Weitkamp, D. Wȩgrzynek, M.G. Rossmann, Helene R. Bello, Jake Bello, David R. Harris, Michael J. Franklin, Tim Kraska and Evan Sparks and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Molecular Biology and Biochemistry.

In The Last Decade

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

Fields of papers citing papers by Daniel Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Haas

Since Specialization
Citations

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