Adam Słowik

4.3k total citations · 1 hit paper
116 papers, 2.5k citations indexed

About

Adam Słowik is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Adam Słowik has authored 116 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 22 papers in Electrical and Electronic Engineering and 15 papers in Computer Networks and Communications. Recurrent topics in Adam Słowik's work include Metaheuristic Optimization Algorithms Research (27 papers), Evolutionary Algorithms and Applications (14 papers) and Advanced Multi-Objective Optimization Algorithms (12 papers). Adam Słowik is often cited by papers focused on Metaheuristic Optimization Algorithms Research (27 papers), Evolutionary Algorithms and Applications (14 papers) and Advanced Multi-Objective Optimization Algorithms (12 papers). Adam Słowik collaborates with scholars based in Poland, China and India. Adam Słowik's co-authors include Halina Kwaśnicka, Yu Xue, M. Białko, Jiayu Liang, Aboul Ella Hassanien, Gaurav Dhiman, Amandeep Kaur, Krishna Kant Singh, Mukesh Soni and Ali Asghar Rahmani Hosseinabadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Applied Energy.

In The Last Decade

Adam Słowik

101 papers receiving 2.3k citations

Hit Papers

Evolutionary algorithms and their applications to enginee... 2020 2026 2022 2024 2020 100 200 300 400
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.

  1. Evolutionary algorithms and their applications to engineering problems
    2020 437 citations Adam Słowik et al. Neural Computing and Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Słowik Poland 23 1.0k 516 373 319 311 116 2.5k
Xingshi He China 19 1.1k 1.0× 484 0.9× 399 1.1× 309 1.0× 216 0.7× 39 2.1k
Haiping Ma China 28 1.3k 1.2× 475 0.9× 553 1.5× 230 0.7× 171 0.5× 86 2.5k
Jeffrey O. Agushaka South Africa 18 1.5k 1.4× 381 0.7× 530 1.4× 334 1.0× 271 0.9× 27 2.8k
Beyza Görkemli Türkiye 14 1.2k 1.2× 429 0.8× 424 1.1× 308 1.0× 421 1.4× 20 2.6k
Iyad Abu Doush Jordan 26 1.1k 1.0× 368 0.7× 324 0.9× 207 0.6× 257 0.8× 104 2.3k
Mohammad Shehab Jordan 22 1.1k 1.1× 402 0.8× 331 0.9× 302 0.9× 204 0.7× 60 2.2k
Deyun Zhou China 29 1.0k 1.0× 323 0.6× 386 1.0× 419 1.3× 269 0.9× 205 3.0k
Qi Kang China 31 1.3k 1.2× 942 1.8× 307 0.8× 538 1.7× 246 0.8× 142 3.0k
Raed Abu Zitar Jordan 29 1.0k 1.0× 431 0.8× 263 0.7× 298 0.9× 196 0.6× 124 2.4k
Nurhan Karaboğa Türkiye 19 1.5k 1.4× 592 1.1× 493 1.3× 511 1.6× 250 0.8× 56 3.2k

Countries citing papers authored by Adam Słowik

Since Specialization
Citations

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

Fields of papers citing papers by Adam Słowik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Słowik

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Słowik. A scholar is included among the top collaborators of Adam Słowik 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 Adam Słowik. Adam Słowik 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.
Wang, Xin, Adam Słowik, Bo Yi, S. Manimurugan, & Jinlei Liu. (2024). Emotion Recognition of Images Based on Label Enhancement for Consumer Electronics Applications. IEEE Transactions on Consumer Electronics. 71(1). 427–437. 1 indexed citations
2.
Lv, Jianhui, Byung‐Gyu Kim, Adam Słowik, et al.. (2024). ERLNEIL-MDP: Evolutionary reinforcement learning with novelty-driven exploration for medical data processing. Swarm and Evolutionary Computation. 91. 101769–101769.
3.
Wang, Xin, Adam Słowik, J. Dinesh Peter, et al.. (2024). Large Models for Cooperative Control of Connected and Autonomous Vehicles. IEEE Transactions on Vehicular Technology. 74(2). 1935–1948. 2 indexed citations
4.
Słowik, Adam & Dorin Moldovan. (2024). Multi-Objective Plum Tree Algorithm and Machine Learning for Heating and Cooling Load Prediction. Energies. 17(12). 3054–3054. 1 indexed citations
5.
Peter, J. Dinesh, et al.. (2024). Learning Fuzzy Label-Distribution-Specific Features for Data Processing. IEEE Transactions on Fuzzy Systems. 33(1). 365–376. 2 indexed citations
6.
Lv, Jianhui, Adam Słowik, B. D. Parameshachari, et al.. (2024). DLLF-2EN: Energy-Efficient Next Generation Mobile Network With Deep Learning-Based Load Forecasting. IEEE Transactions on Network and Service Management. 21(6). 6515–6526. 1 indexed citations
7.
Wang, Jilong, Rui Li, Yijie Chen, et al.. (2024). XDTEncoder: A Deep Explainable Arrhythmia Classification Framework for Smart Healthcare. ACM Transactions on Multimedia Computing Communications and Applications. 1 indexed citations
8.
Wang, Xin Wei, Jianhui Lv, Byung‐Gyu Kim, et al.. (2024). Generative Adversarial Privacy for Multimedia Analytics Across the IoT-Edge Continuum. IEEE Transactions on Cloud Computing. 12(4). 1260–1272. 2 indexed citations
9.
Xue, Yu, et al.. (2023). Sle-CNN: a novel convolutional neural network for sleep stage classification. Neural Computing and Applications. 35(23). 17201–17216. 7 indexed citations
10.
Słowik, Adam, et al.. (2023). Review on Soft Computing-Based Controllers for Frequency Regulation of Diverse Traditional, Hybrid, and Future Power Systems. Energies. 16(4). 1917–1917. 7 indexed citations
11.
Liu, Peng, et al.. (2023). GA‐based feature selection method for oversized data analysis in digital economy. Expert Systems. 41(1). 2 indexed citations
12.
Witkowska, Anna, et al.. (2023). An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks. Journal of Artificial Intelligence and Soft Computing Research. 13(3). 197–210. 10 indexed citations
13.
Shankar, Achyut, Carsten Maple, J. Dinesh Peter, et al.. (2023). Explainable AI for Medical Image Analysis in Medical Cyber-Physical Systems: Enhancing Transparency and Trustworthiness of IoMT. IEEE Journal of Biomedical and Health Informatics. 29(4). 2365–2376. 26 indexed citations
14.
Słowik, Adam, et al.. (2022). Seabed Modelling by Means of Airborne Laser Bathymetry Data and Imbalanced Learning for Offshore Mapping. Sensors. 22(9). 3121–3121. 7 indexed citations
15.
Cpałka, Krzysztof, Adam Słowik, & Krystian Łapa. (2021). A population-based algorithm with the selection of evaluation precision and size of the population. Applied Soft Computing. 115. 108154–108154. 4 indexed citations
16.
Słowik, Adam, et al.. (2021). Classification of Airborne Laser Bathymetry Data Using Artificial Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 1959–1966. 16 indexed citations
17.
Słowik, Adam & Krzysztof Cpałka. (2021). Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications. IEEE Transactions on Industrial Informatics. 18(1). 546–558. 22 indexed citations
18.
Słowik, Adam, Krzysztof Cpałka, & Krystian Łapa. (2019). Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems. IEEE Transactions on Fuzzy Systems. 28(6). 1125–1139. 12 indexed citations
19.
Słowik, Adam, et al.. (2011). Antena z wiązką sterowaną elektronicznie na pasmo S. Elektronika : konstrukcje, technologie, zastosowania. 52. 59–61.
20.
Słowik, Adam, et al.. (2010). The performance of the IFM receiver in a dense signal environment. International Conference on Microwaves, Radar & Wireless Communications. 1–4. 6 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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