Martin Bobák

936 total citations · 1 hit paper
21 papers, 555 citations indexed

About

Martin Bobák is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Martin Bobák has authored 21 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 10 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Martin Bobák's work include Distributed and Parallel Computing Systems (8 papers), Cloud Computing and Resource Management (8 papers) and Peer-to-Peer Network Technologies (2 papers). Martin Bobák is often cited by papers focused on Distributed and Parallel Computing Systems (8 papers), Cloud Computing and Resource Management (8 papers) and Peer-to-Peer Network Technologies (2 papers). Martin Bobák collaborates with scholars based in Slovakia, Switzerland and Germany. Martin Bobák's co-authors include Viet Tran, Ladislav Hluchý, Álvaro López García, Štefan Dlugolinský, Ignacio Heredia, Giang Nguyen, Peter Malík, Marian Bubak, Henning Müller and Mara Graziani and has published in prestigious journals such as Artificial Intelligence Review, Computer Science Review and Acta Polytechnica Hungarica.

In The Last Decade

Martin Bobák

17 papers receiving 529 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey

2019 516 citations Giang Nguyen, Štefan Dlugolinský et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Bobák Slovakia	5	179	86	78	72	40	21	555
Ignacio Heredia Spain	4	175 1.0×	74 0.9×	68 0.9×	69 1.0×	40 1.0×	15	545
Štefan Dlugolinský Slovakia	6	245 1.4×	128 1.5×	111 1.4×	73 1.0×	62 1.6×	25	650
Peter Malík Slovakia	7	195 1.1×	80 0.9×	72 0.9×	92 1.3×	69 1.7×	31	625
Geon Heo South Korea	4	226 1.3×	52 0.6×	64 0.8×	75 1.0×	35 0.9×	6	534
Yuji Roh South Korea	4	257 1.4×	53 0.6×	71 0.9×	76 1.1×	37 0.9×	6	568
Ramzan Talib Pakistan	8	286 1.6×	77 0.9×	141 1.8×	116 1.6×	44 1.1×	26	667
Bin Qian China	7	327 1.8×	121 1.4×	80 1.0×	95 1.3×	34 0.8×	15	725
P Kumar India	11	161 0.9×	102 1.2×	67 0.9×	83 1.2×	26 0.7×	35	764
Nisreen Innab Saudi Arabia	11	133 0.7×	109 1.3×	79 1.0×	69 1.0×	49 1.2×	95	518
Soumi Ghosh India	9	178 1.0×	92 1.1×	177 2.3×	102 1.4×	53 1.3×	30	578

Countries citing papers authored by Martin Bobák

Since Specialization

Citations

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

Fields of papers citing papers by Martin Bobák

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Bobák

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

1.

Bobák, Martin, et al.. (2024). Big Data Deduplication in Data Lake. Acta Polytechnica Hungarica. 307–328.

2.

Calatrava, Amanda, H. Asorey, Alberto Azevedo, et al.. (2023). A survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications. Computer Science Review. 49. 100571–100571. 5 indexed citations

3.

Bobák, Martin, et al.. (2023). Architecture of a Function-as-a-Service Application. Computing and Informatics. 42(4). 878–895. 1 indexed citations

4.

Bobák, Martin, et al.. (2023). Synchronized Music Streaming Driven by Microservice Architecture. 93–98.

5.

Staňo, Michal, Ladislav Hluchý, Martin Bobák, Peter H. Krammer, & Viet Tran. (2023). Federated Learning Methods for Analytics of Big and Sensitive Distributed Data and Survey. 705–710. 5 indexed citations

6.

Bobák, Martin, et al.. (2022). Container-based Video Streaming Service. 191–196. 1 indexed citations

7.

Bobák, Martin, et al.. (2022). Modular e-Commerce Data Warehouse using Microservices. 1–6. 1 indexed citations

8.

Hluchý, Ladislav, et al.. (2022). Serverless Computing and FaaS for Airport Meteorology. 1–6. 2 indexed citations

9.

Belloum, Adam, Martin Bobák, Viet Tran, et al.. (2020). Process Data Infrastructure and Data Services. Computing and Informatics. 39(4). 724–756. 5 indexed citations

10.

Graziani, Mara, et al.. (2020). Breast Histopathology with High-Performance Computing and Deep Learning. Computing and Informatics. 39(4). 780–807. 4 indexed citations

11.

Nowakowski, Piotr, et al.. (2020). Towards Exascale Computing Architecture and Its Prototype: Services and Infrastructure. Computing and Informatics. 39(4). 860–880. 1 indexed citations

12.

Bobák, Martin, Ladislav Hluchý, Adam Belloum, et al.. (2019). Reference Exascale Architecture. UvA-DARE (University of Amsterdam). 479–487.

13.

Nguyen, Giang, Štefan Dlugolinský, Martin Bobák, et al.. (2019). Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey. Artificial Intelligence Review. 52(1). 77–124. 516 indexed citations breakdown →

14.

Bobák, Martin, Adam Belloum, Piotr Nowakowski, et al.. (2018). Exascale computing and data architectures for brownfield applications. UvA-DARE (University of Amsterdam). 450–457. 3 indexed citations

15.

Bobák, Martin, Ladislav Hluchý, & Viet Tran. (2016). Application Performance Optimization in Multicloud Environment. Computing and Informatics / Computers and Artificial Intelligence. 35(6). 1359–1385.

16.

Bobák, Martin, Ladislav Hluchý, & Viet Tran. (2015). Tailored platforms as cloud service. 32. 43–48. 3 indexed citations

17.

Bobák, Martin, Ladislav Hluchý, & Viet Tran. (2015). Methodology for intercloud multicriteria optimization. 1786–1791. 2 indexed citations

18.

Bobák, Martin, Ladislav Hluchý, & Viet Tran. (2014). Abstract model of k-cloud computing. 710–714. 3 indexed citations

19.

Bobák, Martin, Ladislav Hluchý, & Viet Tran. (2014). General regression in cloud computing. 6. 79–82. 1 indexed citations

20.

Bobák, Martin, et al.. (2013). Variants of Genes from the Next Generation Sequencing Data. 44–51. 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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