Przemysław Sekuła

535 total citations · 1 hit paper
16 papers, 354 citations indexed

About

Przemysław Sekuła is a scholar working on Transportation, Building and Construction and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Przemysław Sekuła has authored 16 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Transportation, 6 papers in Building and Construction and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Przemysław Sekuła's work include Transportation Planning and Optimization (5 papers), Traffic Prediction and Management Techniques (4 papers) and Traffic and Road Safety (4 papers). Przemysław Sekuła is often cited by papers focused on Transportation Planning and Optimization (5 papers), Traffic Prediction and Management Techniques (4 papers) and Traffic and Road Safety (4 papers). Przemysław Sekuła collaborates with scholars based in Poland, United States and China. Przemysław Sekuła's co-authors include Lieyun Ding, Ying Zhou, Cheng Zhou, Peter E.D. Love, Chenshuang Li, Nikola Marković, Gennady Andrienko, Natalia Andrienko, Krzysztof Gawęda and Marta Tarczyńska and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS Computational Biology and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Przemysław Sekuła

12 papers receiving 345 citations

Hit Papers

align trajectories

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 in construction: From shallow to deep learning

2021 186 citations Ying Zhou, Przemysław Sekuła et al. Developments in the Built Environment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Przemysław Sekuła Poland	6	104	77	69	42	40	16	354
Farid Mirahadi Canada	8	138 1.3×	131 1.7×	42 0.6×	16 0.4×	63 1.6×	9	481
Jihua Ye China	9	47 0.5×	40 0.5×	41 0.6×	41 1.0×	22 0.6×	44	424
Cristian Arteaga United States	10	128 1.2×	43 0.6×	38 0.6×	56 1.3×	106 2.6×	37	414
Jinkun Men China	14	24 0.2×	73 0.9×	74 1.1×	22 0.5×	54 1.4×	30	402
Jeevith Hegde Norway	9	26 0.3×	47 0.6×	85 1.2×	50 1.2×	49 1.2×	15	371
Tanzina Afrin United States	9	211 2.0×	81 1.1×	14 0.2×	38 0.9×	37 0.9×	13	559
Anima Pramanik India	8	44 0.4×	21 0.3×	60 0.9×	122 2.9×	70 1.8×	16	528
Dániel Rohács Hungary	14	45 0.4×	27 0.4×	14 0.2×	14 0.3×	16 0.4×	48	549
Sanghyeok Kang South Korea	13	77 0.7×	26 0.3×	30 0.4×	11 0.3×	134 3.4×	46	438

Countries citing papers authored by Przemysław Sekuła

Since Specialization

Citations

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

Fields of papers citing papers by Przemysław Sekuła

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Przemysław Sekuła

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Głomb, Przemysław, et al.. (2025). Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals. PLoS Computational Biology. 21(9). e1012983–e1012983.

Sekuła, Przemysław, et al.. (2025). Through the Thicket: A Study of Number-Oriented LLMS Derived from Random Forest Models. Journal of Artificial Intelligence and Soft Computing Research. 15(3). 279–298.

Sekuła, Przemysław, et al.. (2025). Move Over Law Compliance Analysis Utilizing a Deep Learning Computer Vision Approach. Applied Sciences. 15(4). 2011–2011. 1 indexed citations

Sekuła, Przemysław, et al.. (2025). Vehicle-to-Infrastructure System Prototype for Intersection Safety. Applied Sciences. 15(17). 9754–9754.

Zhou, Ying, et al.. (2021). Machine learning in construction: From shallow to deep learning. Developments in the Built Environment. 6. 100045–100045. 186 indexed citations breakdown →

Sekuła, Przemysław, et al.. (2021). Transferability of a Machine Learning-Based Model of Hourly Traffic Volume Estimation—Florida and New Hampshire Case Study. Journal of Advanced Transportation. 2021. 1–15.

Sekuła, Przemysław, et al.. (2020). Estimating Hourly Traffic Volumes using Artificial Neural Network with Additional Inputs from Automatic Traffic Recorders. Transportation Research Record Journal of the Transportation Research Board. 2674(3). 272–282. 17 indexed citations

Zhou, Cheng, et al.. (2020). Design and automated assembly of Planetary LEGO Brick for lunar in-situ construction. Automation in Construction. 118. 103282–103282. 34 indexed citations

Tarczyńska, Marta, et al.. (2019). Stress radiography in the diagnosis and assessment of the outcomes of surgical treatment of chronic anterolateral ankle instability. Acta Radiologica. 61(6). 783–788. 9 indexed citations

10.

Zhou, Ying, Chenshuang Li, Lieyun Ding, et al.. (2019). Combining association rules mining with complex networks to monitor coupled risks. Reliability Engineering & System Safety. 186. 194–208. 72 indexed citations

11.

Hamedi, Masoud, et al.. (2018). Analyzing Impact of I-85 Bridge Collapse on Regional Travel in Atlanta. Transportation Research Board 97th Annual MeetingTransportation Research Board. 2 indexed citations

12.

Sekuła, Przemysław, et al.. (2018). Predicting Work Zone Collision Probabilities via Clustering: Application in Optimal Deployment of Highway Response Teams. Journal of Advanced Transportation. 2018. 1–16. 3 indexed citations

13.

Marković, Nikola, et al.. (2018). Applications of Trajectory Data From the Perspective of a Road Transportation Agency: Literature Review and Maryland Case Study. IEEE Transactions on Intelligent Transportation Systems. 20(5). 1858–1869. 26 indexed citations

14.

Marković, Nikola, et al.. (2017). Applications of Trajectory Data in Transportation: Literature Review and Maryland Case Study. arXiv (Cornell University). 2 indexed citations

15.

Sekuła, Przemysław. (2013). Kolejowe przewozy regionalne – wyzwania i problemy. 201–210. 1 indexed citations

16.

Sekuła, Przemysław. (2013). Skuteczność zarządzania infrastrukturalnymi projektami liniowymi. SHILAP Revista de lepidopterología. 11(3). 81–90. 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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