Saleema Amershi

24 papers and 812 indexed citations i.

About

Saleema Amershi is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Saleema Amershi has authored 24 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Computer Science Applications and 6 papers in Information Systems. Recurrent topics in Saleema Amershi’s work include Ethics and Social Impacts of AI (5 papers), Online Learning and Analytics (5 papers) and Adaptation to Concept Drift in Data Streams (5 papers). Saleema Amershi is often cited by papers focused on Ethics and Social Impacts of AI (5 papers), Online Learning and Analytics (5 papers) and Adaptation to Concept Drift in Data Streams (5 papers). Saleema Amershi collaborates with scholars based in United States, Canada and United Kingdom. Saleema Amershi's co-authors include W. Bradley Knox, Todd Kulesza, Maya Çakmak, Cristina Conati, Jina Suh, Bongshin Lee, J. D. Williams, Donghao Ren, Maurice Jakesch and Zana Buçinca and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Computer-Human Interaction and AI Magazine.

In The Last Decade

Co-authorship network of co-authors of Saleema Amershi i

Fields of papers citing papers by Saleema Amershi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saleema Amershi

Since Specialization
Citations

This map shows the geographic impact of Saleema Amershi'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 Saleema Amershi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saleema Amershi 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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2025