Jarosław Wąs

933 total citations
50 papers, 411 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 411 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Ocean Engineering, 13 papers in Control and Systems Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jarosław Wąs's work include Evacuation and Crowd Dynamics (25 papers), Traffic control and management (11 papers) and Data Visualization and Analytics (8 papers). Jarosław Wąs is often cited by papers focused on Evacuation and Crowd Dynamics (25 papers), Traffic control and management (11 papers) and Data Visualization and Analytics (8 papers). Jarosław Wąs collaborates with scholars based in Poland, Greece and United States. Jarosław Wąs's co-authors include Giuseppe A. Trunfio, Georgios Ch. Sirakoulis, K. Kułakowski, Marek Kisiel‐Dorohinicki, E. Helios-Rybicka, Agnieszka Gruszecka‐Kosowska, Krzysztof Małecki, Ewa Adamiec, Arkadiusz Sitek 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

43 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jarosław Wąs Poland 12 224 99 97 85 64 50 411
Pradyumn Kumar Shukla Germany 10 337 1.5× 194 2.0× 127 1.3× 168 2.0× 80 1.3× 25 636
Rui Ye China 13 302 1.3× 108 1.1× 110 1.1× 220 2.6× 171 2.7× 39 518
Peizhong Yang China 10 100 0.4× 24 0.2× 32 0.3× 132 1.6× 26 0.4× 36 337
Jihua Ye China 9 85 0.4× 51 0.5× 32 0.3× 22 0.3× 41 0.6× 44 424
Sven Maerivoet Belgium 7 90 0.4× 343 3.5× 256 2.6× 24 0.3× 13 0.2× 24 500
Dingjun Chen China 13 68 0.3× 38 0.4× 138 1.4× 15 0.2× 22 0.3× 43 456
Cheng‐Jie Jin China 12 187 0.8× 366 3.7× 313 3.2× 149 1.8× 14 0.2× 40 540
Zhengqiu Zhu China 15 72 0.3× 43 0.4× 28 0.3× 61 0.7× 42 0.7× 43 468
Wenjun Zhang China 12 267 1.2× 215 2.2× 19 0.2× 17 0.2× 39 0.6× 72 546

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

20 of 20 papers shown
1.
Hachaj, Tomasz & Jarosław Wąs. (2025). Rough neighborhood graph: A method for proximity modeling and data clustering. Applied Soft Computing. 171. 112789–112789. 1 indexed citations
2.
Oufattole, Nassim, Matthew B. A. McDermott, Jarosław Wąs, et al.. (2025). Foundation model of electronic medical records for adaptive risk estimation. GigaScience. 14.
3.
Wąs, Jarosław, et al.. (2025). Pedestrian dynamics model for high densities. Expert Systems with Applications. 272. 126775–126775.
4.
Hachaj, Tomasz & Jarosław Wąs. (2024). An insightful data-driven crowd simulation model based on rough sets. Information Sciences. 692. 121670–121670.
5.
Hachaj, Tomasz, Marcin Piekarczyk, Łukasz Bibrzycki, & Jarosław Wąs. (2024). Determination of spherical coordinates of sampled cosmic ray flux distribution using Principal Components Analysis and deep Encoder-Decoder network. 33(2). 29–45.
6.
7.
Wąs, Jarosław, et al.. (2023). Modeling spatial patterns in a moving crowd of people using data-driven approach—A concept of Interplay Floor Field. Safety Science. 167. 106266–106266. 4 indexed citations
8.
9.
Besta, Maciej, Robert Gerstenberger, Paolo Sylos Labini, et al.. (2023). High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations. Institutional Research Information System (Università degli Studi di Trento). 1–16. 4 indexed citations
10.
Wąs, Jarosław, et al.. (2022). The downselection of measurements used for free space determination in ADAS. Journal of Computational Science. 63. 101762–101762. 1 indexed citations
11.
Małecki, Krzysztof, et al.. (2022). A multi-cell Cellular Automata model of traffic flow with emergency vehicles: Effect of a corridor of life and drivers’ behaviour. Journal of Computational Science. 61. 101628–101628. 10 indexed citations
12.
Spataro, William, et al.. (2022). Towards efficient GPGPU Cellular Automata model implementation using persistent active cells. Journal of Computational Science. 59. 101538–101538. 5 indexed citations
13.
Gruszecka‐Kosowska, Agnieszka, et al.. (2021). Human Health Risk Assessment of Air Pollution in the Regions of Unsustainable Heating Sources. Case Study—The Tourist Areas of Southern Poland. Atmosphere. 12(5). 615–615. 12 indexed citations
14.
Wąs, Jarosław, et al.. (2021). Post-Implementation ERP Software Development: Upgrade or Reimplementation. Applied Sciences. 11(11). 4937–4937. 8 indexed citations
15.
Adamiec, Ewa, et al.. (2019). Using Medium-Cost Sensors to Estimate Air Quality in Remote Locations. Case Study of Niedzica, Southern Poland. Atmosphere. 10(7). 393–393. 11 indexed citations
16.
Wąs, Jarosław, et al.. (2016). Validation and Verification of CA-Based Pedestrian Dynamics Models.. 11. 285–298. 3 indexed citations
17.
Wąs, Jarosław, et al.. (2016). GPGPU Computing for Microscopic Simulations of Crowd Dynamics. Computing and Informatics / Computers and Artificial Intelligence. 34(6). 1418–1434. 15 indexed citations
18.
Wąs, Jarosław, Georgios Ch. Sirakoulis, & Stefania Bandini. (2014). Cellular automata : 11th international conference on cellular automata for research and industry, ACRI 2014, Krakow, Poland, September 22-25, 2014 : proceedings. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations
19.
Wąs, Jarosław, et al.. (2013). Adapting Social Distances Model for Mass Evacuation Simulation.. 8. 395–405. 18 indexed citations
20.
Kułakowski, Konrad, et al.. (2008). Dynamiczny model świata w sterowaniu autonomicznym robotem mobilnym. Automatyka / Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. 833–840. 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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