Jakub Piskorski

34 papers and 354 indexed citations i.

About

Jakub Piskorski is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Jakub Piskorski has authored 34 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Information Systems and 5 papers in Management Science and Operations Research. Recurrent topics in Jakub Piskorski’s work include Topic Modeling (18 papers), Natural Language Processing Techniques (14 papers) and Web Data Mining and Analysis (8 papers). Jakub Piskorski is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (14 papers) and Web Data Mining and Analysis (8 papers). Jakub Piskorski collaborates with scholars based in Italy, Poland and Germany. Jakub Piskorski's co-authors include Roman Yangarber, Feiyu Xu, Horacio Saggion, Thierry Poibeau, Günter Neumann, Ulrich Schäfer, Hans‐Ulrich Krieger, Preslav Nakov, Giovanni Da San Martino and Ralf Steinberger and has published in prestigious journals such as Information Processing & Management, Language Resources and Evaluation and Information Retrieval.

In The Last Decade

Co-authorship network of co-authors of Jakub Piskorski i

Fields of papers citing papers by Jakub Piskorski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jakub Piskorski

Since Specialization
Citations

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