Jarosław Wąs

129 total papers · 950 total citations
50 papers, 412 citations indexed

About

Jarosław Wąs is a scholar working on Ocean Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jarosław Wąs has authored 50 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ocean Engineering, 13 papers in Control and Systems Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jarosław Wąs's work include Evacuation and Crowd Dynamics (24 papers), Traffic control and management (11 papers) and Data Visualization and Analytics (7 papers). Jarosław Wąs is often cited by papers focused on Evacuation and Crowd Dynamics (24 papers), Traffic control and management (11 papers) and Data Visualization and Analytics (7 papers). Jarosław Wąs collaborates with scholars based in Poland, Greece and Italy. Jarosław Wąs's co-authors include Giuseppe A. Trunfio, Georgios Ch. Sirakoulis, K. Kułakowski, Ewa Adamiec, Krzysztof Małecki, E. Helios-Rybicka, Agnieszka Gruszecka‐Kosowska, Marek Kisiel‐Dorohinicki, Stefania Bandini and Julian F. Miller and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Information Sciences.

In The Last Decade

Jarosław Wąs

45 papers receiving 403 citations

Author Peers

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

Author Last Decade Papers Cites
Jarosław Wąs 221 100 99 85 60 50 412
Jon Kerridge 169 0.8× 64 0.6× 160 1.6× 69 0.8× 70 1.2× 48 414
Xiaolu Wang 197 0.9× 97 1.0× 92 0.9× 78 0.9× 26 0.4× 49 399
Shubo Wu 141 0.6× 109 1.1× 103 1.0× 64 0.8× 41 0.7× 23 435
Акопов Андраник Сумбатович 43 0.2× 84 0.8× 55 0.6× 15 0.2× 78 1.3× 64 448
Jie Xu 94 0.4× 43 0.4× 139 1.4× 79 0.9× 22 0.4× 72 367
Xiao Song 51 0.2× 135 1.4× 32 0.3× 30 0.4× 67 1.1× 49 468
Bernard F. Lamond 88 0.4× 45 0.5× 54 0.5× 14 0.2× 48 0.8× 40 464
Guohua Liang 111 0.5× 28 0.3× 33 0.3× 47 0.6× 76 1.3× 49 431
Kai Guo 101 0.5× 41 0.4× 79 0.8× 56 0.7× 21 0.3× 28 463
Liang Ma 120 0.5× 51 0.5× 59 0.6× 68 0.8× 22 0.4× 25 417

Countries citing papers authored by Jarosław Wąs

Since Specialization
Citations

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

Fields of papers citing papers by Jarosław Wąs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jarosław Wąs

This figure shows the co-authorship network connecting the top 25 collaborators of Jarosław Wąs. A scholar is included among the top collaborators of Jarosław Wąs 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 Jarosław Wąs. Jarosław Wąs 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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2026