Árpád Gellért

658 total citations
52 papers, 427 citations indexed

About

Árpád Gellért is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Árpád Gellért has authored 52 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 15 papers in Hardware and Architecture and 14 papers in Artificial Intelligence. Recurrent topics in Árpád Gellért's work include Parallel Computing and Optimization Techniques (15 papers), Manufacturing Process and Optimization (8 papers) and Embedded Systems Design Techniques (7 papers). Árpád Gellért is often cited by papers focused on Parallel Computing and Optimization Techniques (15 papers), Manufacturing Process and Optimization (8 papers) and Embedded Systems Design Techniques (7 papers). Árpád Gellért collaborates with scholars based in Romania, Italy and United Kingdom. Árpád Gellért's co-authors include Adrian Florea, Lucian Vinţan, Ugo Fiore, Francesco Palmieri, Theo Ungerer, Remus Brad, Constantin-Bălă Zamfirescu, P Zanetti, Jan Petzold and Bogdan-Constantin Pîrvu and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

Árpád Gellért

46 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Árpád Gellért Romania	11	159	91	88	82	80	52	427
Wolfgang Granzer Austria	11	129 0.8×	65 0.7×	172 2.0×	78 1.0×	70 0.9×	22	403
Krasimira Kapitanova United States	8	100 0.6×	60 0.7×	308 3.5×	86 1.0×	26 0.3×	13	438
Vladimir Hahanov Ukraine	11	167 1.1×	36 0.4×	140 1.6×	110 1.3×	29 0.4×	109	486
Chen-Wei Yang Sweden	12	197 1.2×	33 0.4×	68 0.8×	43 0.5×	121 1.5×	61	463
Mohsen Nickray Iran	15	255 1.6×	98 1.1×	572 6.5×	44 0.5×	46 0.6×	38	708
Gyung-Leen Park South Korea	11	196 1.2×	22 0.2×	155 1.8×	48 0.6×	18 0.2×	58	459
Henry Newman Austria	4	168 1.1×	79 0.9×	161 1.8×	43 0.5×	47 0.6×	7	425
Diogo Gomes Portugal	12	158 1.0×	101 1.1×	315 3.6×	98 1.2×	22 0.3×	108	519
William Tärneberg Sweden	11	103 0.6×	29 0.3×	270 3.1×	55 0.7×	25 0.3×	46	419

Countries citing papers authored by Árpád Gellért

Since Specialization

Citations

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

Fields of papers citing papers by Árpád Gellért

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Árpád Gellért

This figure shows the co-authorship network connecting the top 25 collaborators of Árpád Gellért. A scholar is included among the top collaborators of Árpád Gellért 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 Árpád Gellért. Árpád Gellért 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

Gellért, Árpád, et al.. (2025). Boosting anomaly detection with unsupervised K-Means and SOM for energy-efficient factory machines. Journal of Intelligent Manufacturing.

Gellért, Árpád, et al.. (2025). Accurate Time-to-Target Forecasting for Autonomous Mobile Robots. IEEE Access. 13. 125645–125658.

Gellért, Árpád, et al.. (2024). Estimating electricity consumption at city-level through advanced machine learning methods. Connection Science. 36(1). 3 indexed citations

Gellért, Árpád, et al.. (2024). Architectural and Technological Approaches for Efficient Energy Management in Multicore Processors. Computers. 13(4). 84–84. 1 indexed citations

Gellért, Árpád, et al.. (2024). Anomaly Detection in Smart Industrial Machinery Through Hidden Markov Models and Autoencoders. IEEE Access. 12. 69217–69228. 6 indexed citations

Gellért, Árpád, et al.. (2023). Estimating Travel Time for Autonomous Mobile Robots through Long Short-Term Memory. Mathematics. 11(7). 1723–1723. 6 indexed citations

Gellért, Árpád, et al.. (2022). Robust Assembly Assistance Using Informed Tree Search with Markov Chains. Sensors. 22(2). 495–495. 7 indexed citations

Gellért, Árpád, et al.. (2022). Electricity production and consumption modeling through fuzzy logic. International Journal of Intelligent Systems. 37(11). 8348–8364. 9 indexed citations

Gellért, Árpád, et al.. (2022). Towards an Assembly Support System with Dynamic Bayesian Network. Applied Sciences. 12(3). 985–985. 7 indexed citations

10.

Gellért, Árpád, et al.. (2022). Real-Time Assembly Support System with Hidden Markov Model and Hybrid Extensions. Mathematics. 10(15). 2725–2725. 5 indexed citations

11.

Gellért, Árpád, et al.. (2021). Assembly Assistance System with Decision Trees and Ensemble Learning. Sensors. 21(11). 3580–3580. 10 indexed citations

12.

Gellért, Árpád. (2021). Web Usage Mining by Neural Hybrid Prediction with Markov Chain Components. Journal of Web Engineering. 2 indexed citations

13.

Gellért, Árpád, et al.. (2021). An Empirical Evaluation of Prediction by Partial Matching in Assembly Assistance Systems. Applied Sciences. 11(7). 3278–3278. 10 indexed citations

14.

Gellért, Árpád & Constantin-Bălă Zamfirescu. (2020). Assembly support systems with Markov predictors. Journal of Decision System. 29(sup1). 63–70. 7 indexed citations

15.

Gellért, Árpád, Adrian Florea, Ugo Fiore, Francesco Palmieri, & P Zanetti. (2019). A study on forecasting electricity production and consumption in smart cities and factories. International Journal of Information Management. 49. 546–556. 44 indexed citations

16.

Gellért, Árpád, Adrian Florea, Ugo Fiore, P Zanetti, & Lucian Vinţan. (2018). Performance and energy optimisation in CPUs through fuzzy knowledge representation. Information Sciences. 476. 375–391. 15 indexed citations

17.

Gellért, Árpád & Remus Brad. (2017). Studying the influence of search rule and context shape in filtering impulse noise images with Markov chains. Signal Image and Video Processing. 12(2). 315–322. 7 indexed citations

18.

Gellért, Árpád. (2017). Web access mining through dynamic decision trees with markovian features. Journal of Web Engineering. 16(5). 524–536. 5 indexed citations

19.

Gellért, Árpád & Adrian Florea. (2015). Web prefetching through efficient prediction by partial matching. World Wide Web. 19(5). 921–932. 15 indexed citations

20.

Gellért, Árpád & Adrian Florea. (2014). Web page prediction enhanced with confidence mechanism. Journal of Web Engineering. 13(5). 507–524. 7 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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