Gabriella Kazai

48 papers and 612 indexed citations i.

About

Gabriella Kazai is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gabriella Kazai has authored 48 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 23 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gabriella Kazai’s work include Information Retrieval and Search Behavior (15 papers), Web Data Mining and Analysis (9 papers) and Mobile Crowdsensing and Crowdsourcing (8 papers). Gabriella Kazai is often cited by papers focused on Information Retrieval and Search Behavior (15 papers), Web Data Mining and Analysis (9 papers) and Mobile Crowdsensing and Crowdsourcing (8 papers). Gabriella Kazai collaborates with scholars based in United Kingdom, United States and Germany. Gabriella Kazai's co-authors include Nataša Milić-Frayling, Jaap Kamps, Mounia Lalmas, Milad Shokouhi, Matteo Venanzi, John Guiver, Pushmeet Kohli, Norbert Fuhr, Marijn Koolen and Daoud Clarke and has published in prestigious journals such as Information Processing & Management, Lecture notes in computer science and First Monday.

In The Last Decade

Co-authorship network of co-authors of Gabriella Kazai i

Fields of papers citing papers by Gabriella Kazai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriella Kazai

Since Specialization
Citations

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