Łukasz Radliński

560 citations
23 papers · 340 indexed · h-index 8
Topics
Software Engineering Research (17 papers)Software Reliability and Analysis Research (14 papers)Software System Performance and Reliability (8 papers)

In The Last Decade

Łukasz Radliński

20 papers receiving 302 citations

Peers

Łukasz Radliński
Comparison fields: 5 of 83
  • Information Systems 222
  • Software 192
  • Artificial Intelligence 92
  • Computer Networks and Communications 61
  • Management Science and Operations Research 33
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Countries citing papers authored by Łukasz Radliński

Since Specialization
Citations

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

Fields of papers citing papers by Łukasz Radliński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Łukasz Radliński

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 3
3 105
4
Preliminary evaluation of schemes for predicting user satisfaction with the ability of system to meet stated objectives
4
5
Recent Polish achievements in Software Engineering
1
6
An Expert-Driven Bayesian Network Model for Simulating and Predicting Software Quality
3
7
Towards expert-based modelling of integrated software quality
2
8
Factors of software quality - analysis of extended ISBSG dataset
2
9
On generating Bayesian nets from small local qualitative data for software development effort and quality prediction
0
10 5
11 6
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Software Development Effort and Quality Prediction Using Bayesian Nets and small Local Qualitative Data.
2
13 8
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ON PREDICTING SOFTWARE DEVELOPMENT EFFORT USING MACHINE LEARNING TECHNIQUES AND LOCAL DATA
13
15 7
16
Przegląd publicznie dostępnych baz danych przedsięwzięć informatycznych
0
17
Improved Software Project Risk Assessment Using Bayesian Nets
6
18 93
19
Improved decision-making for software managers using Bayesian networks
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20 31

About Łukasz Radliński

Łukasz Radliński is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 23 papers that have together received 340 indexed citations. Recurring topics across this work include Software Engineering Research (17 papers), Software Reliability and Analysis Research (14 papers) and Software System Performance and Reliability (8 papers). The work is most often cited by research in Software (192 citations), Information Systems (222 citations) and Statistics, Probability and Uncertainty (26 citations). Łukasz Radliński has collaborated with scholars based in Poland, United Kingdom and Germany. Frequent co-authors include Norman Fenton, William Marsh, Anthony C. Constantinou, Martin Neil, Paul Krause, Peter Hearty, David G. Márquez, Thomas Schulz, Wolfgang Rosenstiel and Mirosław Ochodek. Their work appears in journals such as Artificial Intelligence in Medicine, Electronics and Empirical Software Engineering.

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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