Pavol Bielik

32 total papers · 987 total citations
20 papers, 491 citations indexed

About

Pavol Bielik is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Pavol Bielik has authored 20 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Information Systems and 8 papers in Software. Recurrent topics in Pavol Bielik's work include Software Engineering Research (9 papers), Software Testing and Debugging Techniques (6 papers) and Machine Learning and Data Classification (5 papers). Pavol Bielik is often cited by papers focused on Software Engineering Research (9 papers), Software Testing and Debugging Techniques (6 papers) and Machine Learning and Data Classification (5 papers). Pavol Bielik collaborates with scholars based in Switzerland, United States and Slovakia. Pavol Bielik's co-authors include Martin Vechev, Veselin Raychev, Andreas Krause, Laurent Vanbever, Mária Bieliková, Michal Barla, Mislav Balunović, Marc Fischer, Gagandeep Singh and Benjamin D. Trump and has published in prestigious journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Pavol Bielik

20 papers receiving 461 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pavol Bielik	278	204	169	150	118	20	491
Shuai Hao	168 0.6×	147 0.7×	208 1.2×	165 1.1×	208 1.8×	20	534
Jeremy S. Bradbury	240 0.9×	259 1.3×	179 1.1×	128 0.9×	36 0.3×	38	520
Aysu Betin-Can	329 1.2×	255 1.3×	167 1.0×	133 0.9×	51 0.4×	33	545
Jens H. Jahnke	373 1.3×	208 1.0×	251 1.5×	167 1.1×	29 0.2×	40	529
Jeffrey W. Humphries	187 0.7×	57 0.3×	105 0.6×	148 1.0×	96 0.8×	21	483
P.S. Yu	176 0.6×	85 0.4×	254 1.5×	115 0.8×	47 0.4×	14	435
Andrew J. Malton	305 1.1×	193 0.9×	270 1.6×	124 0.8×	54 0.5×	29	469
Tommaso Frassetto	168 0.6×	97 0.5×	253 1.5×	125 0.8×	210 1.8×	17	445
C. Cook	240 0.9×	342 1.7×	98 0.6×	74 0.5×	31 0.3×	28	535
Kevin Roundy	184 0.7×	51 0.3×	177 1.0×	174 1.2×	223 1.9×	19	470

Countries citing papers authored by Pavol Bielik

Since Specialization

Citations

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

Fields of papers citing papers by Pavol Bielik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavol Bielik

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

All Works

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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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