Jiří Bíla

1.3k total citations
63 papers, 1.0k citations indexed

About

Jiří Bíla is a scholar working on Artificial Intelligence, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, Jiří Bíla has authored 63 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 16 papers in Electronic, Optical and Magnetic Materials and 14 papers in Materials Chemistry. Recurrent topics in Jiří Bíla's work include ECG Monitoring and Analysis (9 papers), Chalcogenide Semiconductor Thin Films (9 papers) and Neural Networks and Applications (8 papers). Jiří Bíla is often cited by papers focused on ECG Monitoring and Analysis (9 papers), Chalcogenide Semiconductor Thin Films (9 papers) and Neural Networks and Applications (8 papers). Jiří Bíla collaborates with scholars based in Czechia, Malaysia and Saudi Arabia. Jiří Bíla's co-authors include A.H. Reshak, Hussin Kamarudin, S. Auluck, G. Murtaza, Ricardo Rodríguez Jorge, A. Laref, I.V. Kityk, Ivo Bukovský, Salvador Cervantes and G.L. Myronchuk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and The Journal of Physical Chemistry C.

In The Last Decade

Jiří Bíla

55 papers receiving 962 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiří Bíla Czechia 14 559 381 363 106 96 63 1.0k
T. S. Radhakrishnan India 18 463 0.8× 102 0.3× 256 0.7× 80 0.8× 92 1.0× 98 1.1k
Piotr Zieliński Poland 17 509 0.9× 270 0.7× 259 0.7× 20 0.2× 177 1.8× 115 1.0k
Zhi-Gang Shao China 18 763 1.4× 442 1.2× 76 0.2× 14 0.1× 121 1.3× 87 1.3k
A. C. Bruno Brazil 16 263 0.5× 375 1.0× 171 0.5× 17 0.2× 244 2.5× 80 1.0k
S.B. Park South Korea 20 474 0.8× 680 1.8× 53 0.1× 39 0.4× 328 3.4× 67 1.3k
Guibin Chen China 23 1.1k 2.0× 977 2.6× 84 0.2× 7 0.1× 120 1.3× 95 1.8k
Takuro Fukunaga Japan 22 1.3k 2.3× 351 0.9× 177 0.5× 7 0.1× 113 1.2× 152 2.0k
C. Lauterbach Germany 15 222 0.4× 362 1.0× 25 0.1× 16 0.2× 316 3.3× 34 1.1k
Payam Norouzzadeh United States 19 550 1.0× 176 0.5× 100 0.3× 6 0.1× 23 0.2× 36 951

Countries citing papers authored by Jiří Bíla

Since Specialization
Citations

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

Fields of papers citing papers by Jiří Bíla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiří Bíla

This figure shows the co-authorship network connecting the top 25 collaborators of Jiří Bíla. A scholar is included among the top collaborators of Jiří Bíla 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 Jiří Bíla. Jiří Bíla 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
1.
Zada, Zeshan, Abdul Ahad Khan, A.H. Reshak, et al.. (2022). First-principles calculations to investigate variation of cationic-ligand LmAl2Ge2 (Lm = Ca, Y, La and Ce). Indian Journal of Physics. 96(11). 3151–3159. 13 indexed citations
2.
Granja, Carlos, Cristina Oancea, Anna Macková, et al.. (2022). Spectral-sensitive proton radiography of thin samples with the pixel detector Timepix3. Journal of Instrumentation. 17(4). C04016–C04016. 9 indexed citations
3.
Granja, Carlos, Cristina Oancea, Pavel Krist, et al.. (2022). High-contrast low-dose proton radiography of thin samples at the Tandetron accelerator. SHILAP Revista de lepidopterología. 261. 1005–1005.
4.
Jorge, Ricardo Rodríguez, et al.. (2022). Rotating machinery fault diagnosis using a quadratic neural unit. International Journal of Grid and Utility Computing. 13(2/3). 309–309. 1 indexed citations
5.
Reshak, A.H., G. Murtaza, Shabbir Muhammad, et al.. (2021). Co2YZ (Y= Cr, Nb, Ta, V and Z= Al, Ga) Heusler alloys under the effect of pressure and strain. Journal of Molecular Graphics and Modelling. 104. 107841–107841. 59 indexed citations
6.
Zada, Zeshan, A.H. Reshak, Muhammad Ismail, et al.. (2021). Cationic variation for LnAl2Si2 (Ln = Y, Sm, Tb, Dy, Yb) compounds by density functional theory. Journal of Molecular Structure. 1252. 132136–132136. 20 indexed citations
7.
Reshak, A.H., G. Murtaza, Murefah mana Al‐Anazy, et al.. (2021). First‐principles calculations of structural, electronic, optical, and thermoelectric properties of ternary d ‐metal sulfides Sc 2 CdS 4 and Y 2 CdS 4 compounds. International Journal of Energy Research. 45(9). 13657–13667. 11 indexed citations
8.
Reshak, A.H., et al.. (2020). Pressure induced physical variations in the lead free fluoropervoskites XYF3 (X=K, Rb, Ag; Y=Zn, Sr, Mg): Optical materials. Optical Materials. 109. 110325–110325. 38 indexed citations
9.
Bíla, Jiří, Ricardo Rodríguez Jorge, & Martin Novák. (2019). Modeling of Complex Systems by Means of Partial Algebras. SHILAP Revista de lepidopterología. 25(1). 103–110. 2 indexed citations
10.
Bukovský, Ivo, et al.. (2015). A Fast Neural Network Approach to Predict Lung Tumor Motion during Respiration for Radiation Therapy Applications. BioMed Research International. 2015. 1–13. 24 indexed citations
11.
Reshak, A.H., Khalid Nouneh, I.V. Kityk, et al.. (2014). Structural, Electronic and Optical Properties in Earth- Abundant Photovoltaic Absorber of Cu2ZnSnS4 and Cu2ZnSnSe4 from DFT calculations. International Journal of Electrochemical Science. 9(2). 955–974. 108 indexed citations
12.
Jorge, Ricardo Rodríguez, et al.. (2014). Adaptive Threshold and Principal Component Analysis for Features Extraction of Electrocardiogram Signals. 101. 1253–1258. 9 indexed citations
13.
Reshak, A.H., Yuri Kogut, A.O. Fedorchuk, et al.. (2013). Linear, non-linear optical susceptibilities and the hyperpolarizability of the mixed crystals Ag0.5Pb1.75Ge(S1−xSex)4: experiment and theory. Physical Chemistry Chemical Physics. 15(43). 18979–18979. 150 indexed citations
14.
Bíla, Jiří, et al.. (2011). Qualitative modeling in the landscape development monitoring. International Conference on Systems. 35–41. 3 indexed citations
15.
Krist, Pavel, Jiří Bíla, Carlos Granja, & C. Leroy. (2010). Microtron Modelling and Control. AIP conference proceedings. 185–187. 4 indexed citations
16.
Bíla, Jiří, et al.. (2009). Qualitative modeling and monitoring of the selected ecosystem violated with parasitic dehumidifying and dehydrating. 211–219. 3 indexed citations
17.
Bukovský, Ivo, Zeng‐Guang Hou, Jiří Bíla, & Madan M. Gupta. (2008). Foundations of Nonconventional Neural Units and their Classification. International Journal of Cognitive Informatics and Natural Intelligence. 2(4). 29–43. 4 indexed citations
18.
Bíla, Jiří, et al.. (2007). THE GRAMMAR FOR THE DESCRIPTION OF ARTIFACTS IN THE CONCEPTUAL REDESIGN OF SYSTEMS.
19.
Bukovský, Ivo, Zeng‐Guang Hou, Jiří Bíla, & Madan M. Gupta. (2007). Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Units. 401–407. 7 indexed citations
20.
Bíla, Jiří, et al.. (2000). Detection of ILL Separable Faults. IFAC Proceedings Volumes. 33(11). 451–455. 1 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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