Agata Giełczyk

487 total citations
11 papers, 248 citations indexed

About

Agata Giełczyk is a scholar working on Information Systems, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Agata Giełczyk has authored 11 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Agata Giełczyk's work include User Authentication and Security Systems (3 papers), Biometric Identification and Security (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Agata Giełczyk is often cited by papers focused on User Authentication and Security Systems (3 papers), Biometric Identification and Security (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Agata Giełczyk collaborates with scholars based in Poland, Greece and United Kingdom. Agata Giełczyk's co-authors include Michał Choraś, Michał Woźniak, Paweł Ksieniewicz, Konstantinos Demestichas, Daniel Urda, Álvaro Herrero, Walter Leal Filho, João Henrique Paulino Pires Eustachio, Anabela Marisa Azul and Valerija Kozlova and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Applied Soft Computing.

In The Last Decade

Agata Giełczyk

11 papers receiving 235 citations

Peers

Agata Giełczyk

SPS

IS

AI

RNMI

SP

Adel A. Bahaddad Saudi Arabia

Bhavya Alankar India

Naurin Farooq Khan Pakistan

Abhinav Mishra India

Musleh Alsulami Saudi Arabia

Zev Winkelman United States

Muhammed Yousoof Ismail Oman

Dongbo Wang China

Omar Bencharef Morocco

Eddy Maddalena Italy

Adel A. Bahaddad Saudi Arabia

Agata Giełczyk

44 ×0.5

SPS

60 ×0.8

IS

89 ×1.4

AI

32 ×0.7

RNMI

26 ×0.7

SP

Citations per year, relative to Agata Giełczyk Agata Giełczyk (= 1×) peers Adel A. Bahaddad

Countries citing papers authored by Agata Giełczyk

Since Specialization

Citations

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

Fields of papers citing papers by Agata Giełczyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agata Giełczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Agata Giełczyk. A scholar is included among the top collaborators of Agata Giełczyk 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 Agata Giełczyk. Agata Giełczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Kłoska, Anna, Agata Giełczyk, Tomasz Grzybowski, et al.. (2023). A Machine-Learning-Based Approach to Prediction of Biogeographic Ancestry within Europe. International Journal of Molecular Sciences. 24(20). 15095–15095. 6 indexed citations

2.

Kłoska, Anna, et al.. (2023). Influence of augmentation on the performance of double ResNet-based model for chest X-rays classification. Polish Journal of Radiology. 88. 244–250. 3 indexed citations

3.

Giełczyk, Agata, et al.. (2022). Pre-processing methods in chest X-ray image classification. PLoS ONE. 17(4). e0265949–e0265949. 42 indexed citations

4.

Filho, Walter Leal, Peter Yang, João Henrique Paulino Pires Eustachio, et al.. (2022). Deploying digitalisation and artificial intelligence in sustainable development research. Environment Development and Sustainability. 25(6). 4957–4988. 64 indexed citations

5.

Giełczyk, Agata, et al.. (2022). A Novel Lightweight Approach to COVID-19 Diagnostics Based on Chest X-ray Images. Journal of Clinical Medicine. 11(19). 5501–5501. 5 indexed citations

6.

Giełczyk, Agata, et al.. (2021). Who Will Score? A Machine Learning Approach to Supporting Football Team Building and Transfers. Entropy. 23(1). 90–90. 18 indexed citations

7.

Ksieniewicz, Paweł, et al.. (2020). Fake News Detection from Data Streams. 1–8. 24 indexed citations

8.

Choraś, Michał, Konstantinos Demestichas, Agata Giełczyk, et al.. (2020). Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study. Applied Soft Computing. 101. 107050–107050. 77 indexed citations

9.

Giełczyk, Agata & Michał Choraś. (2020). Intelligent human-centred mobile authentication system based on palmprints. Journal of Intelligent & Fuzzy Systems. 39(6). 8217–8224. 1 indexed citations

10.

Giełczyk, Agata, Michał Choraś, & Rafał Kozik. (2019). Lightweight Verification Schema for Image-Based Palmprint Biometric Systems. Mobile Information Systems. 2019. 1–9. 5 indexed citations

11.

Giełczyk, Agata, Michał Choraś, & Rafał Kozik. (2018). Hybrid Feature Extraction for Palmprint-Based User Authentication. 5. 629–633. 3 indexed citations

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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