Marcia Ascher

35 papers and 450 indexed citations i.

About

Marcia Ascher is a scholar working on Theoretical Computer Science, Education and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marcia Ascher has authored 35 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Theoretical Computer Science, 5 papers in Education and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marcia Ascher’s work include History and Theory of Mathematics (6 papers), Mathematics Education and Teaching Techniques (5 papers) and Ancient Egypt and Archaeology (2 papers). Marcia Ascher is often cited by papers focused on History and Theory of Mathematics (6 papers), Mathematics Education and Teaching Techniques (5 papers) and Ancient Egypt and Archaeology (2 papers). Marcia Ascher collaborates with scholars based in United States. Marcia Ascher's co-authors include Judith V. Grabiner, Robert Ascher, Frank Swetz, George E. Forsythe and T. C. Holyoke and has published in prestigious journals such as Nature, Science and Mathematics of Computation.

In The Last Decade

Co-authorship network of co-authors of Marcia Ascher i

Fields of papers citing papers by Marcia Ascher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marcia Ascher

Since Specialization
Citations

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