Jakub Konečný

10 papers and 423 indexed citations i.

About

Jakub Konečný is a scholar working on Artificial Intelligence, Computational Mechanics and Statistics and Probability. According to data from OpenAlex, Jakub Konečný has authored 10 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computational Mechanics and 2 papers in Statistics and Probability. Recurrent topics in Jakub Konečný’s work include Stochastic Gradient Optimization Techniques (9 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and ELM (4 papers). Jakub Konečný is often cited by papers focused on Stochastic Gradient Optimization Techniques (9 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and ELM (4 papers). Jakub Konečný collaborates with scholars based in United States, United Kingdom and Saudi Arabia. Jakub Konečný's co-authors include Peter Richtárik, Martin Takáč, Jie Liu, Zheng Qu, Martin Jaggi, Chenxin Ma, Michael I. Jordan, Virginia Smith, Brendan McMahan and Fariborz Salehi and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, Optimization methods & software and Frontiers in Applied Mathematics and Statistics.

In The Last Decade

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

Fields of papers citing papers by Jakub Konečný

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jakub Konečný

Since Specialization
Citations

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