Hubert Baniecki

655 total citations
19 papers, 244 citations indexed

About

Hubert Baniecki is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems and Management. According to data from OpenAlex, Hubert Baniecki has authored 19 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Information Systems and Management. Recurrent topics in Hubert Baniecki's work include Explainable Artificial Intelligence (XAI) (10 papers), Machine Learning in Healthcare (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Hubert Baniecki is often cited by papers focused on Explainable Artificial Intelligence (XAI) (10 papers), Machine Learning in Healthcare (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Hubert Baniecki collaborates with scholars based in Poland, Germany and United States. Hubert Baniecki's co-authors include Przemysław Biecek, Anna Saranti, Andreas Holzinger, Marvin N. Wright, Bastian Pfeifer, Dianne Cook, Elizabeth W. Boyer, Chaopeng Shen, Radosław Charkiewicz and Piotr Majewski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Scientific Reports.

In The Last Decade

Hubert Baniecki

15 papers receiving 240 citations

Peers

Hubert Baniecki
Comparison fields: 5 of 91
  • Artificial Intelligence 118
  • Radiology, Nuclear Medicine and Imaging 39
  • Molecular Biology 25
  • Pulmonary and Respiratory Medicine 24
  • Cancer Research 23
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Citations per field, relative to Hubert Baniecki
Hubert Baniecki · 1×
Citations per year, relative to Hubert Baniecki
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Countries citing papers authored by Hubert Baniecki

Since Specialization
Citations

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

Fields of papers citing papers by Hubert Baniecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hubert Baniecki

This figure shows the co-authorship network connecting the top 25 collaborators of Hubert Baniecki. A scholar is included among the top collaborators of Hubert Baniecki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hubert Baniecki. Hubert Baniecki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 0
3 45
4 0
5 5
6 2
7 8
8 0
9 26
10 17
11 20
12 21
13 1
14 14
15 66
16 5
17
Effects and Importances of Model Ingredients [R package ingredients version 2.2.0]
1
18 1
19 12

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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