Mladen Kolar

62 papers and 692 indexed citations i.

About

Mladen Kolar is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Mechanics. According to data from OpenAlex, Mladen Kolar has authored 62 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 27 papers in Statistics and Probability and 14 papers in Computational Mechanics. Recurrent topics in Mladen Kolar’s work include Statistical Methods and Inference (24 papers), Sparse and Compressive Sensing Techniques (14 papers) and Bayesian Modeling and Causal Inference (11 papers). Mladen Kolar is often cited by papers focused on Statistical Methods and Inference (24 papers), Sparse and Compressive Sensing Techniques (14 papers) and Bayesian Modeling and Causal Inference (11 papers). Mladen Kolar collaborates with scholars based in United States, Croatia and China. Mladen Kolar's co-authors include Eric P. Xing, Le Song, Amr Ahmed, L. E. Ballentine, Han Liu, Alessandro Rinaldo, Sivaraman Balakrishnan, Aarti Singh, Mihai Anitescu and Rina Foygel Barber and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Mladen Kolar i

Fields of papers citing papers by Mladen Kolar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mladen Kolar

Since Specialization
Citations

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