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
2019516 citationsGiang Nguyen, Štefan Dlugolinský et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Ladislav Hluchý
Since
Specialization
Citations
This map shows the geographic impact of Ladislav Hluchý'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 Ladislav Hluchý with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ladislav Hluchý more than expected).
This network shows the impact of papers produced by Ladislav Hluchý. 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 Ladislav Hluchý. The network helps show where Ladislav Hluchý may publish in the future.
Co-authorship network of co-authors of Ladislav Hluchý
This figure shows the co-authorship network connecting the top 25 collaborators of Ladislav Hluchý.
A scholar is included among the top collaborators of Ladislav Hluchý 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 Ladislav Hluchý. Ladislav Hluchý is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nguyen, Giang, et al.. (2016). Integrated System for Hydraulic Simulations. Computing and Informatics / Computers and Artificial Intelligence. 34(5). 1065–1088.4 indexed citations
7.
Hluchý, Ladislav, Štefan Dlugolinský, Bernhard Schneider, et al.. (2015). A Novel Way of Using Simulations to Support Urban Security Operations. Computing and Informatics / Computers and Artificial Intelligence. 34(6). 1201–1233.3 indexed citations
8.
Nguyen, Binh Minh, Viet Tran, & Ladislav Hluchý. (2013). A Generic Development and Deployment Framework for Cloud Computing and Distributed Applications. Computing and Informatics / Computers and Artificial Intelligence. 32(3). 461–485.10 indexed citations
9.
Nguyen, Binh Minh, Viet Tran, & Ladislav Hluchý. (2012). Developing and Deploying Cloud Services Based on Abstraction Approach. Journal of Digital Information Management. 10(4). 254–261.1 indexed citations
10.
Laclavík, Michal, et al.. (2009). ONTEA: PLATFORM FOR PATTERN BASED AUTOMATED SEMANTIC ANNOTATION. Computing and Informatics / Computers and Artificial Intelligence. 28(4). 555–579.28 indexed citations
11.
Laclavík, Michal, et al.. (2008). Agent Architecture based on Semantic Knowledge Model *.
12.
Hluchý, Ladislav, et al.. (2008). Leveraging Interactivity and MPI for Environmental Applications. Computing and Informatics / Computers and Artificial Intelligence. 27(2). 271–284.2 indexed citations
13.
Hluchý, Ladislav, et al.. (2008). OPTIMIZING DESCRIPTION LOGIC REASONING FOR THE SERVICE MATCHMAKING AND COMPOSITION. Computing and Informatics / Computers and Artificial Intelligence. 27(4). 661–679.1 indexed citations
14.
Hluchý, Ladislav, et al.. (2007). Semantic Services Grid in Flood-forecasting Simulations. Computing and Informatics / Computers and Artificial Intelligence. 26(4). 447–464.4 indexed citations
15.
Laclavík, Michal, et al.. (2006). AgentOWL: Semantic Knowledge Model and Agent Architecture. Computing and Informatics / Computers and Artificial Intelligence. 25(5). 421–439.38 indexed citations
16.
Laclavík, Michal, et al.. (2006). Ontology based Text Annotation - OnTeA.. European Journal of Combinatorics. 311–315.2 indexed citations
17.
Hluchý, Ladislav, et al.. (2001). Mapping and scheduling of parallel programs. Nova Science Publishers, Inc. eBooks. 45–68.2 indexed citations
18.
Doroshenko, А.Yu., et al.. (1999). Models and parallel programming abstractions for synchronization and communication. Computing and Informatics / Computers and Artificial Intelligence. 18(4). 361–381.2 indexed citations
19.
Hluchý, Ladislav, et al.. (1998). Hybrid approach to task allocation in distributed systems. Computing and Informatics / Computers and Artificial Intelligence. 17(5). 469–480.3 indexed citations
20.
Bouvry, Pascal, et al.. (1994). Mapping and Load Balancing on Distributed Memory Systems. Open Repository and Bibliography (University of Luxembourg).2 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.