Johannes Jurgovsky

About

Johannes Jurgovsky is a scholar working on Artificial Intelligence, Accounting and Computer Vision and Pattern Recognition. According to data from OpenAlex, Johannes Jurgovsky has authored 4 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Accounting and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Johannes Jurgovsky’s work include Financial Distress and Bankruptcy Prediction (3 papers), Imbalanced Data Classification Techniques (3 papers) and Machine Learning and Data Classification (1 paper). Johannes Jurgovsky is often cited by papers focused on Financial Distress and Bankruptcy Prediction (3 papers), Imbalanced Data Classification Techniques (3 papers) and Machine Learning and Data Classification (1 paper). Johannes Jurgovsky collaborates with scholars based in Germany, Austria and France. Johannes Jurgovsky's co-authors include Michael Granitzer, Liyun He-Guelton, Pierre-Édouard Portier, Sylvie Calabretto, Olivier Caelen and Christin Seifert and has published in prestigious journals such as Expert Systems with Applications, Knowledge and Information Systems and 2021 IEEE International Conference on Data Mining (ICDM).

In The Last Decade

Co-authorship network of co-authors of Johannes Jurgovsky i

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Fields of papers citing papers by Johannes Jurgovsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Johannes Jurgovsky

Since Specialization

Citations

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