Małgorzata Bach

432 citations
18 papers · 221 · h-index 6

Impact in

    • Artificial Intelligence in Healthcare
    • Imbalanced Data Classification Techniques
    • Machine Learning and Data Classification
    • Anomaly Detection Techniques and Applications
    • Text and Document Classification Technologies

Papers in

Małgorzata Bach

14 papers receiving 215 citations

Peers

Małgorzata Bach
Comparison fields: 5 of 85
  • Health Information Management 31
  • Artificial Intelligence 116
  • Orthopedics and Sports Medicine 23
  • Health Informatics 3
  • Statistics, Probability and Uncertainty 8
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Krystyna Napierała Poland
Athanasios Tsakonas Greece
Ahmad S. Tarawneh Jordan
Łukasz Jeleń Poland
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Anvesha Katti India
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Citations per year

Countries citing papers authored by Małgorzata Bach

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Bach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Małgorzata Bach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Małgorzata Bach Line = papers co-authored together Małgorzata Bach links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2016103
2 201962
3 201712
4 20228
5 20237
6 20215
7 20215
8 20214
9 20233
10 20223
11 20233
12 20242
13 20212
14 20232
15
Dobór struktur danych pod kątem optymalizacji przetwarzania analitycznego
20120
16 20130
17 20130
18 20130

About Małgorzata Bach

Małgorzata Bach is a scholar working on Artificial Intelligence, Orthopedics and Sports Medicine, Computer Networks and Communications, Health Information Management and Information Systems, having authored 18 papers that have together received 221 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (6 papers), Imbalanced Data Classification Techniques (4 papers), Artificial Intelligence in Healthcare (3 papers), Advanced Database Systems and Queries (3 papers), Data Mining Algorithms and Applications (2 papers), Machine Learning in Healthcare (2 papers), Machine Learning and Data Classification (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Health Information Management (31 citations), Artificial Intelligence (116 citations), Orthopedics and Sports Medicine (23 citations), Health Informatics (3 citations) and Statistics, Probability and Uncertainty (8 citations). Małgorzata Bach has collaborated with scholars based in Poland. Frequent co-authors include Aleksandra Werner, Wojciech Pluskiewicz, Joanna Żywiec, Bogna Drozdzowska, Piotr Adamczyk, W Grzeszczak, Marek Sikora, Joanna Żyła, Jerzy Jaroszewicz and Aleksandra Gruca. Their work appears in journals such as Biomedicines, Archives of Osteoporosis, Scientific Reports, International Journal of Applied Mathematics and Computer Science and Applied Sciences.

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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