Béla Paláncz

1.0k total citations
73 papers, 511 citations indexed

About

Béla Paláncz is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Béla Paláncz has authored 73 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Molecular Biology and 10 papers in Computational Mechanics. Recurrent topics in Béla Paláncz's work include Diabetes Management and Research (20 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (19 papers) and Metabolism, Diabetes, and Cancer (10 papers). Béla Paláncz is often cited by papers focused on Diabetes Management and Research (20 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (19 papers) and Metabolism, Diabetes, and Cancer (10 papers). Béla Paláncz collaborates with scholars based in Hungary, Australia and New Zealand. Béla Paláncz's co-authors include Joseph L. Awange, Lajos Völgyesi, Levente Kovács, Balázs Benyó, Erik W. Grafarend, Zoltán Benyó, Robert H. Lewis, J. Geoffrey Chase, Christopher G. Pretty and Kent W. Stewart and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Chemical Engineering Science and Computers & Chemical Engineering.

In The Last Decade

Béla Paláncz

72 papers receiving 475 citations

Peers

Countries citing papers authored by Béla Paláncz

Since Specialization

Citations

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

Fields of papers citing papers by Béla Paláncz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Béla Paláncz

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Comparison of three artificial intelligence methods for predicting 90% quantile interval of future insulin sensitivity of intensive care patients 2024 ·(unknown), (unknown), Béla Paláncz, (unknown), (unknown), Katalin J. Kovács, J. Geoffrey Chase, Balázs Benyó	2
2	In-Silico Validation of Insulin Sensitivity Prediction by Neural Network-based Quantile Regression 2024 ·IFAC-PapersOnLine ·(unknown), (unknown), Antônia Railda Roel, (unknown), (unknown), (unknown), Béla Paláncz, Katalin J. Kovács, (unknown), Balázs Benyó	2
3	Cardiovascular Model Identification Using Neural ODE 2024 ·IFAC-PapersOnLine ·(unknown), (unknown), (unknown), Béla Paláncz, Katalin J. Kovács, (unknown), (unknown), N. Davey, Cong Zhou, (unknown), Balázs Benyó	0
4	Comparison of Three Artificial Intelligence Methods for Predicting 90% Quantile Interval of Future Insulin Sensitivity of Intensive Care Patients 2023 ·IFAC-PapersOnLine ·(unknown), (unknown), Béla Paláncz, Katalin J. Kovács, J. Geoffrey Chase, Balázs Benyó	2
5	Classification-based deep neural network vs mixture density network models for insulin sensitivity prediction problem 2023 ·Computer Methods and Programs in Biomedicine ·Balázs Benyó, Béla Paláncz, (unknown), (unknown), Katalin J. Kovács, J. Geoffrey Chase	7
6	Comparison of Gated Recurrent Unit vs. Mixture Density Network in Insulin Sensitivity Prediction 2022 ·IFAC-PapersOnLine ·(unknown), (unknown), Béla Paláncz, (unknown), Balázs Benyó	4
7	Solving geoinformatics parametric polynomial systems using the improved Dixon resultant 2018 ·Earth Science Informatics ·Robert H. Lewis, Béla Paláncz, Joseph L. Awange	1
8	A novel RANSAC approach to robustly solve the 3D similarity transformation problem 2017 ·Australian Journal of Earth Sciences ·Béla Paláncz, Joseph L. Awange, Lajos Völgyesi	2
9	Algebraic method to speed up robust algorithms: example of laser-scanned point clouds 2016 ·Survey Review ·Béla Paláncz, Joseph L. Awange, Tamás Lovas, Robert H. Lewis, Bence Molnár, B. Heck, Yoichi Fukuda	4
10	Specific validation analysis of stochastic ICING model based estimation of insulin sensitivity profile using clinical data 2016 ·Balázs Benyó, Kent W. Stewart, (unknown), Christopher G. Pretty, J. Geoffrey Chase, Béla Paláncz	7
11	Solving Robust Glucose-Insulin Control by Dixon Resultant Computations 2012 ·Laura Kovács, Béla Paláncz, Levente Kovács	5
12	Application of Dixon resultant to satellite trajectory control by pole placement 2012 ·Journal of Symbolic Computation ·Béla Paláncz	7
13	Algebraic Geodesy and Geoinformatics 2010 ·Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) ·Joseph L. Awange, Erik W. Grafarend, Béla Paláncz, (unknown)	36
14	Robust Blood-Glucose Control using Mathematica 2006 ·PubMed ·Levente Kovács, Béla Paláncz, Balázs Benyó, László Török, (unknown)	14
15	Classification of Time Series Using Singular Values and Wavelet Subband Analysis with ANN and SVM Classifiers 2006 ·Journal of Advanced Computational Intelligence and Intelligent Informatics ·Balázs Benyó, Péter Somogyi, Béla Paláncz	2
16	SUPPORT VECTOR CLASSIFIER VIA MATHEMATICA 2005 ·Periodica Polytechnica Civil Engineering ·Béla Paláncz, Lajos Völgyesi	3
17	SUPPORT VECTOR REGRESSION VIA MATHEMATICA 2005 ·Periodica Polytechnica Civil Engineering ·Béla Paláncz, Lajos Völgyesi, (unknown)	4
18	Optimal glucose-insulin control in ℋ/sub 2/ space 2005 ·PubMed ·Levente Kovács, Béla Paláncz, (unknown), Zoltán Benyó	1
19	SYMBOLIC SOLUTION OF BOUNDARY VALUE PROBLEM VIA MATHEMATICA 2000 ·Periodica Polytechnica Civil Engineering ·Béla Paláncz, (unknown)	3
20	Solution of the penetrating evaporation front model for finite porous medium using orthogonal collocation method 1987 ·International Journal of Heat and Mass Transfer ·Béla Paláncz	1

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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