Maryam Kamvar

3 papers and 50 indexed citations i.

About

Maryam Kamvar is a scholar working on Information Systems, Artificial Intelligence and Industrial relations. According to data from OpenAlex, Maryam Kamvar has authored 3 papers receiving a total of 50 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 2 papers in Artificial Intelligence and 0 papers in Industrial relations. Recurrent topics in Maryam Kamvar’s work include Information Retrieval and Search Behavior (3 papers), Recommender Systems and Techniques (2 papers) and Semantic Web and Ontologies (2 papers). Maryam Kamvar is often cited by papers focused on Information Retrieval and Search Behavior (3 papers), Recommender Systems and Techniques (2 papers) and Semantic Web and Ontologies (2 papers). Maryam Kamvar collaborates with scholars based in United States. Maryam Kamvar's co-authors include Shumeet Baluja and Doug Beeferman and has published in prestigious journals such as Computer, Interspeech 2022 and Conference of the International Speech Communication Association.

In The Last Decade

Co-authorship network of co-authors of Maryam Kamvar i

Fields of papers citing papers by Maryam Kamvar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maryam Kamvar

Since Specialization
Citations

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