Marcin Budka

1.5k total citations · 1 hit paper
55 papers, 851 citations indexed

About

Marcin Budka is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Marcin Budka has authored 55 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Statistical and Nonlinear Physics and 8 papers in Signal Processing. Recurrent topics in Marcin Budka's work include Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (9 papers) and Pleistocene-Era Hominins and Archaeology (6 papers). Marcin Budka is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (9 papers) and Pleistocene-Era Hominins and Archaeology (6 papers). Marcin Budka collaborates with scholars based in United Kingdom, Poland and Australia. Marcin Budka's co-authors include Bogdan Gabryś, Christiane Lemke, Katarzyna Musiał, Matthew R. Bennett, Krzysztof Juszczyszyn, Sally C. Reynolds, Vincent Santucci, David Bustos, Daniel Odess and Brendan Fenerty and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Marcin Budka

52 papers receiving 825 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.

Evidence of humans in North America during the Last Glacial Maximum

2021 103 citations Matthew R. Bennett, David Bustos et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcin Budka United Kingdom	15	317	157	155	114	87	55	851
Clifford T. Brown United States	12	148 0.5×	100 0.6×	155 1.0×	39 0.3×	42 0.5×	14	633
J. Doran United Kingdom	11	183 0.6×	166 1.1×	235 1.5×	16 0.1×	107 1.2×	27	694
Fabrizio Antonelli Italy	24	168 0.5×	40 0.3×	121 0.8×	29 0.3×	910 10.5×	114	1.9k
Mladen Nikolić Serbia	9	136 0.4×	15 0.1×	21 0.1×	57 0.5×	10 0.1×	20	547
Laure Berti‐Équille France	15	426 1.3×	37 0.2×	34 0.2×	35 0.3×	4 0.0×	46	966
Ziad Kobti Canada	13	218 0.7×	24 0.2×	64 0.4×	55 0.5×	4 0.0×	94	518
Valdis Bērziņš Latvia	14	136 0.4×	98 0.6×	176 1.1×	1 0.0×	126 1.4×	79	784
Jaeyong Lee South Korea	14	242 0.8×	12 0.1×	19 0.1×	7 0.1×	11 0.1×	66	662
Graeme Earl United Kingdom	15	20 0.1×	56 0.4×	102 0.7×	11 0.1×	188 2.2×	66	861

Countries citing papers authored by Marcin Budka

Since Specialization

Citations

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

Fields of papers citing papers by Marcin Budka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Budka

This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Budka. A scholar is included among the top collaborators of Marcin Budka 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 Marcin Budka. Marcin Budka 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:

20 of 20 papers shown

Budka, Marcin, et al.. (2025). Supply network disruption: A framework for assessing vulnerability and implementing resilience strategies. Information Sciences. 717. 122336–122336.

Budka, Marcin, et al.. (2025). The applications of complex network analysis in aquaculture and capture fisheries: a systematic review of trends, challenges, and future directions. Sustainable Futures. 10. 101382–101382.

Budka, Marcin, et al.. (2025). Automatic detection of the lumbar spine using transfer learning for Quantitative Fluoroscopy. Procedia Computer Science. 270. 2291–2300.

Malhi, Avleen, et al.. (2025). Towards 4D BIM: A Systematic Literature Review on Challenges, Strategies and Tools in Leveraging AI with BIM. Buildings. 15(7). 1072–1072. 1 indexed citations

Reynolds, Sally C., et al.. (2024). Old and New Approaches in Rock Art: Using Animal Motifs to Identify Palaeohabitats. Quaternary. 7(4). 48–48. 1 indexed citations

Budka, Marcin, et al.. (2024). Dual Input Stream Transformer for Vertical Drift Correction in Eye-Tracking Reading Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 8715–8726. 4 indexed citations

Kelly, Derek M., et al.. (2024). Data-Driven Strategies for Carbimazole Titration: Exploring Machine Learning Solutions in Hyperthyroidism Control. The Journal of Clinical Endocrinology & Metabolism. 110(4). 1105–1114. 2 indexed citations

Budka, Marcin, et al.. (2022). A Model Architecture for Public Transport Networks Using a Combination of a Recurrent Neural Network Encoder Library and a Attention Mechanism. Algorithms. 15(9). 328–328. 1 indexed citations

Bennett, Matthew R., David Bustos, Jeffrey S. Pigati, et al.. (2021). Evidence of humans in North America during the Last Glacial Maximum. Science. 373(6562). 1528–1531. 103 indexed citations breakdown →

10.

Budka, Marcin, et al.. (2021). Bus journey simulation to develop public transport predictive algorithms. SHILAP Revista de lepidopterología. 3. 100029–100029. 1 indexed citations

11.

Budka, Marcin, et al.. (2021). Technological innovation in the recovery and analysis of 3D forensic footwear evidence: Structure from motion (SfM) photogrammetry. Science & Justice. 61(4). 356–368. 10 indexed citations

12.

Drosatos, George, Emily Arden‐Close, Elvira Bolat, et al.. (2018). Enabling Responsible Online Gambling by Real-time Persuasive Technologies. SHILAP Revista de lepidopterología. 44–68. 8 indexed citations

13.

Budka, Marcin, et al.. (2018). NetSim – The framework for complex network generator. Procedia Computer Science. 126. 547–556. 7 indexed citations

14.

Budka, Marcin, et al.. (2016). Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry. Bournemouth University Research Online (Bournemouth University). 48–57. 7 indexed citations

15.

Bennett, Matthew R., Sally C. Reynolds, Sarita A. Morse, & Marcin Budka. (2016). Laetoli’s lost tracks: 3D generated mean shape and missing footprints. Scientific Reports. 6(1). 21916–21916. 29 indexed citations

16.

Balaguer‐Ballester, Emili, et al.. (2014). Can We Identify Non-Stationary Dynamics of Trial-to-Trial Variability?. PLoS ONE. 9(4). e95648–e95648. 5 indexed citations

17.

Juszczyszyn, Krzysztof, Katarzyna Musiał, & Marcin Budka. (2011). On analysis of complex network dynamics – changes in local topology. Bournemouth University Research Online (Bournemouth University). 2 indexed citations

18.

Budka, Marcin, Bogdan Gabryś, & Elisa Ravagnan. (2010). Robust predictive modelling of water pollution using biomarker data. Water Research. 44(10). 3294–3308. 14 indexed citations

19.

Budka, Marcin & Bogdan Gabryś. (2010). Correntropy-based density-preserving data sampling as an alternative to standard cross-validation. Bournemouth University Research Online (Bournemouth University). 1–8. 9 indexed citations

20.

Budka, Marcin & Bogdan Gabryś. (2010). Density Preserving Sampling (DPS) for error estimation and model selection. Bournemouth University Research Online (Bournemouth University). 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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