Ireneusz Jabłoński

35 papers receiving 290 citations

Peers

Ireneusz Jabłoński
Comparison fields: 5 of 81
  • Biomedical Engineering 76
  • Artificial Intelligence 64
  • Computer Networks and Communications 53
  • Pulmonary and Respiratory Medicine 53
  • Statistical and Nonlinear Physics 34
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Countries citing papers authored by Ireneusz Jabłoński

Since Specialization
Citations

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

Fields of papers citing papers by Ireneusz Jabłoński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ireneusz Jabłoński

This figure shows the co-authorship network connecting the top 25 collaborators of Ireneusz Jabłoński. A scholar is included among the top collaborators of Ireneusz Jabłoński 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 Ireneusz Jabłoński. Ireneusz Jabłoński 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 0
2 0
3 16
4 1
5 6
6 70
7 7
8 4
9 5
10 1
11 4
12 20
13
A forward model of the respiratory system during airflow interruption
10
14 2
15
The problem of measurement data complexity for example of the respiratory system and recurrent plots analysis
3
16
Frequency indexes of respiration during interrupter experiment
2
17
INTERRUPTER VALVE KINEMATICS IN THE ISSUES OF PARAMETER ESTIMATION OF THE RESPIRATORY SYSTEM MODEL
5
18
A station for the respiratory mechanics measurement by the occlusion techniques
6
19
Liniowy model układu oddechowego w czasie przerwania przepływu powietrza
0
20
Metody identyfikacji modelu układu oddechowego w czasie przerwania przepływu powietrza
1

About Ireneusz Jabłoński

Ireneusz Jabłoński is a scholar working on Statistics, Probability and Uncertainty, Modeling and Simulation and Computer Networks and Communications, having authored 39 papers that have together received 305 indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (4 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Wireless Sensor Networks for Data Analysis (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (22 citations), Modeling and Simulation (13 citations) and Statistical and Nonlinear Physics (34 citations). Ireneusz Jabłoński has collaborated with scholars based in Poland, Italy and Germany. Frequent co-authors include Janusz Mroczka, Claudio De Capua, Rosario Morello, Adam G. Polak, Agnieszka Wyłomańska, Laura Fabbiano, A. Lay-Ekuakille, Md. Zıa Ur Rahman, Fabrizio Spano and Alessandro Massaro. Their work appears in journals such as Expert Systems with Applications, IEEE Communications Magazine and IEEE Transactions on Biomedical 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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