Ori Stitelman

3 papers and 332 indexed citations i.

About

Ori Stitelman is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ori Stitelman has authored 3 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Science Applications and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Ori Stitelman’s work include Adaptation to Concept Drift in Data Streams (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Machine Learning and Data Classification (2 papers). Ori Stitelman is often cited by papers focused on Adaptation to Concept Drift in Data Streams (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Machine Learning and Data Classification (2 papers). Ori Stitelman collaborates with scholars based in United States and Israel. Ori Stitelman's co-authors include Claudia Perlich, Shachar Kaufman, Saharon Rosset, Foster Provost, B D'Alessandro and Troy Raeder and has published in prestigious journals such as Machine Learning, ACM Transactions on Knowledge Discovery from Data and SSRN Electronic Journal.

In The Last Decade

Co-authorship network of co-authors of Ori Stitelman i

Fields of papers citing papers by Ori Stitelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ori Stitelman

Since Specialization
Citations

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