Daniel Haas

67 total papers · 1.4k total citations
36 papers, 736 citations indexed

About

Daniel Haas is a scholar working on Artificial Intelligence, Media Technology and Materials Chemistry. According to data from OpenAlex, Daniel Haas has authored 36 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Media Technology and 7 papers in Materials Chemistry. Recurrent topics in Daniel Haas’s work include Remote-Sensing Image Classification (7 papers), Infrared Target Detection Methodologies (5 papers) and Enzyme Structure and Function (5 papers). Daniel Haas is often cited by papers focused on Remote-Sensing Image Classification (7 papers), Infrared Target Detection Methodologies (5 papers) and Enzyme Structure and Function (5 papers). Daniel Haas collaborates with scholars based in United States, Germany and France. Daniel Haas's co-authors include Alexander Rack, Timm Weitkamp, D. Wȩgrzynek, M.G. Rossmann, Jake Bello, Helene R. Bello, David R. Harris, Michael J. Franklin, Jiannan Wang and Eugene Wu and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Molecular Biology and Biochemistry.

Co-authorship network of co-authors of Daniel Haas

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Haas. A scholar is included among the top collaborators of Daniel Haas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Haas. Daniel Haas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Daniel Haas

30 papers receiving 662 citations

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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