Claudia Perlich

About

Claudia Perlich is a scholar working on Artificial Intelligence, Information Systems and Marketing. According to data from OpenAlex, Claudia Perlich has authored 24 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Information Systems and 5 papers in Marketing. Recurrent topics in Claudia Perlich’s work include Data Mining Algorithms and Applications (8 papers), Bayesian Modeling and Causal Inference (4 papers) and Consumer Market Behavior and Pricing (4 papers). Claudia Perlich is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Bayesian Modeling and Causal Inference (4 papers) and Consumer Market Behavior and Pricing (4 papers). Claudia Perlich collaborates with scholars based in United States, Israel and Switzerland. Claudia Perlich's co-authors include Saharon Rosset, Ori Stitelman, Foster Provost, Shachar Kaufman, Jeffrey S. Simonoff, B D'Alessandro, Troy Raeder, Bianca Zadrozny, Grzegorz Świrszcz and Prem Melville and has published in prestigious journals such as The Journal of Business, Machine Learning and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Claudia Perlich i

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Fields of papers citing papers by Claudia Perlich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Claudia Perlich

Since Specialization

Citations

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