Daniel Hedin

About

Daniel Hedin is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Daniel Hedin has authored 28 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Signal Processing and 8 papers in Computer Networks and Communications. Recurrent topics in Daniel Hedin’s work include Security and Verification in Computing (9 papers), Advanced Malware Detection Techniques (8 papers) and Neuroscience and Neural Engineering (3 papers). Daniel Hedin is often cited by papers focused on Security and Verification in Computing (9 papers), Advanced Malware Detection Techniques (8 papers) and Neuroscience and Neural Engineering (3 papers). Daniel Hedin collaborates with scholars based in Sweden, United States and Canada. Daniel Hedin's co-authors include Andrei Sabelfeld, David Sands, K. Kramer, Suneel I. Sheikh, Adam Bartsch, Robert J. Knuesel, Nicholas A. Giudice, Jay L. Alberts, Edward C. Benzel and Alok Shah and has published in prestigious journals such as Annals of Biomedical Engineering, Theoretical Computer Science and ACM SIGPLAN Notices.

In The Last Decade

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

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Fields of papers citing papers by Daniel Hedin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Hedin

Since Specialization

Citations

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