Dino Schweitzer

24 papers and 338 indexed citations i.

About

Dino Schweitzer is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dino Schweitzer has authored 24 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Science Applications, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Dino Schweitzer’s work include Teaching and Learning Programming (11 papers), Advanced Malware Detection Techniques (5 papers) and Computer Graphics and Visualization Techniques (4 papers). Dino Schweitzer is often cited by papers focused on Teaching and Learning Programming (11 papers), Advanced Malware Detection Techniques (5 papers) and Computer Graphics and Visualization Techniques (4 papers). Dino Schweitzer collaborates with scholars based in United States. Dino Schweitzer's co-authors include Andrew Glassner, Jeff Boleng, Linda Northrop, Jeffrey W. Humphries, Leemon C. Baird, G. Scott Owen, Jack Bresenham, Paul Graham, Bill Young and Scott Grissom and has published in prestigious journals such as ACM SIGGRAPH Computer Graphics, Information Visualization and Proceedings of the 35th SIGCSE technical symposium on Computer science education.

In The Last Decade

Co-authorship network of co-authors of Dino Schweitzer i

Fields of papers citing papers by Dino Schweitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dino Schweitzer

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025