Sepehr Vakil

15 papers and 657 indexed citations i.

About

Sepehr Vakil is a scholar working on Computer Science Applications, Education and Gender Studies. According to data from OpenAlex, Sepehr Vakil has authored 15 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Science Applications, 8 papers in Education and 4 papers in Gender Studies. Recurrent topics in Sepehr Vakil’s work include Teaching and Learning Programming (9 papers), Gender and Technology in Education (4 papers) and Innovative Education and Learning Practices (3 papers). Sepehr Vakil is often cited by papers focused on Teaching and Learning Programming (9 papers), Gender and Technology in Education (4 papers) and Innovative Education and Learning Practices (3 papers). Sepehr Vakil collaborates with scholars based in United States. Sepehr Vakil's co-authors include Na’ilah Suad Nasir, Maxine McKinney de Royston, Ben Kirshner, Jennifer Higgs, Kihana Miraya Ross, Jarvis R. Givens, Kris D. Gutiérrez, Daniela DiGiacomo, Tia C. Madkins and Elisabeth Soep and has published in prestigious journals such as Communications of the ACM, Journal of Research in Science Teaching and Harvard Educational Review.

In The Last Decade

Co-authorship network of co-authors of Sepehr Vakil i

Fields of papers citing papers by Sepehr Vakil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sepehr Vakil

Since Specialization
Citations

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