Jerzy Bala

665 total citations
19 papers, 65 citations indexed

About

Jerzy Bala is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jerzy Bala has authored 19 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Jerzy Bala's work include Image Retrieval and Classification Techniques (7 papers), Neural Networks and Applications (6 papers) and Network Security and Intrusion Detection (2 papers). Jerzy Bala is often cited by papers focused on Image Retrieval and Classification Techniques (7 papers), Neural Networks and Applications (6 papers) and Network Security and Intrusion Detection (2 papers). Jerzy Bala collaborates with scholars based in United States and United Kingdom. Jerzy Bala's co-authors include Harry Wechsler, Peter W. Pachowicz, Jennifer Jane Newson, Tara C. Thiagarajan, Ryszard S. Michalski, Sung Wook Baik, Janusz Wnek, Kenneth De Jong, Jianping Zhang and K. De Jong and has published in prestigious journals such as Pattern Recognition, BMJ Open and Pattern Recognition Letters.

In The Last Decade

Jerzy Bala

14 papers receiving 46 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jerzy Bala United States 5 37 24 7 7 7 19 65
Tim Clerckx Belgium 4 20 0.5× 19 0.8× 8 1.1× 3 0.4× 14 2.0× 6 51
Hongkun Yu United States 2 18 0.5× 83 3.5× 4 0.6× 3 0.4× 7 1.0× 3 113
Amir Hosein Khasahmadi United States 3 20 0.5× 32 1.3× 4 0.6× 2 0.3× 8 1.1× 5 52
Tamara Mchedlidze Germany 5 25 0.7× 8 0.3× 11 1.6× 5 0.7× 29 75
Giulio Paci Italy 4 29 0.8× 18 0.8× 2 0.3× 2 0.3× 2 0.3× 7 53
Isabelle Tellier France 5 12 0.3× 49 2.0× 5 0.7× 2 0.3× 31 4.4× 21 78
Tosin Adewumi Sweden 7 16 0.4× 73 3.0× 4 0.6× 2 0.3× 8 1.1× 18 101
Nhu-Van Nguyen France 6 80 2.2× 19 0.8× 5 0.7× 10 1.4× 14 104
Rao Muhammad Umer Italy 4 41 1.1× 24 1.0× 5 0.7× 10 1.4× 7 73

Countries citing papers authored by Jerzy Bala

Since Specialization
Citations

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

Fields of papers citing papers by Jerzy Bala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerzy Bala

This figure shows the co-authorship network connecting the top 25 collaborators of Jerzy Bala. A scholar is included among the top collaborators of Jerzy Bala 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 Jerzy Bala. Jerzy Bala 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
1.
Bala, Jerzy, Jennifer Jane Newson, & Tara C. Thiagarajan. (2024). Hierarchy of demographic and social determinants of mental health: analysis of cross-sectional survey data from the Global Mind Project. BMJ Open. 14(3). e075095–e075095. 5 indexed citations
2.
Newson, Jennifer Jane, et al.. (2024). Leveraging big data for causal understanding in mental health: a research framework. Frontiers in Psychiatry. 15. 1337740–1337740. 2 indexed citations
3.
Bala, Jerzy, et al.. (2017). Predictive analytics for litigation case management. 3826–3830. 1 indexed citations
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Bala, Jerzy & Peter W. Pachowicz. (2002). Application of symbolic machine learning to the recognition of texture concepts. i. 224–230.
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Bala, Jerzy, et al.. (2002). Application of a distributed data mining approach to network intrusion detection. 1419–1419. 3 indexed citations
9.
Bala, Jerzy & Harry Wechsler. (1996). Shape analysis using hybrid learning. Pattern Recognition. 29(8). 1323–1333. 13 indexed citations
10.
Pachowicz, Peter W. & Jerzy Bala. (1994). A Noise-Tolerant Approach to Symbolic Learning from Sensory Data. Journal of Intelligent & Fuzzy Systems. 2(4). 347–361. 2 indexed citations
11.
Pachowicz, Peter W., Jerzy Bala, & Ryszard S. Michalski. (1994). Progress on Vision Through Learning at George Mason University. George Mason University. 4 indexed citations
12.
Bala, Jerzy, et al.. (1993). ISSUES IN LEARNING FROM NOISY SENSORY DATA. 1 indexed citations
13.
Michalski, Ryszard S., Jerzy Bala, & Peter W. Pachowicz. (1993). GMU Research on Learning in Vision: Initial Results. George Mason University. 1 indexed citations
14.
Bala, Jerzy, Ryszard S. Michalski, & Janusz Wnek. (1993). The PRAX Approach to Learning a Large Number of Texture Concepts. George Mason University. 1 indexed citations
15.
Bala, Jerzy & Harry Wechsler. (1993). Shape analysis using genetic algorithms. Pattern Recognition Letters. 14(12). 965–973. 18 indexed citations
16.
Bala, Jerzy. (1993). Learning to recognize visual concepts: development and implementation of a method for texture concept acquisition through learning. 3 indexed citations
17.
Bala, Jerzy, Eric Bloedorn, Kenneth De Jong, et al.. (1992). A Brief Review of AQ Learning Programs and Their Application to the MONKS Problems. George Mason University. 1 indexed citations
18.
Pachowicz, Peter W. & Jerzy Bala. (1991). Improving recognition effectiveness of noisy texture concepts. International Conference on Machine Learning. 625–629.
19.

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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