Michał Grochowski

2.6k total citations · 1 hit paper
36 papers, 1.7k citations indexed

About

Michał Grochowski is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michał Grochowski has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 9 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michał Grochowski's work include AI in cancer detection (8 papers), Fault Detection and Control Systems (8 papers) and Advanced Control Systems Optimization (7 papers). Michał Grochowski is often cited by papers focused on AI in cancer detection (8 papers), Fault Detection and Control Systems (8 papers) and Advanced Control Systems Optimization (7 papers). Michał Grochowski collaborates with scholars based in Poland, United Kingdom and South Korea. Michał Grochowski's co-authors include Agnieszka Mikołajczyk, Arkadiusz Kwasigroch, Kazimierz Duzinkiewicz, M. Brdyś, P. Hirsch, Mietek A. Brdyś, Tomasz A. Rutkowski, Robert Piotrowski, Jingsong Wang and Adam Nowicki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Expert Systems with Applications.

In The Last Decade

Michał Grochowski

32 papers receiving 1.7k 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.

Data augmentation for improving deep learning in image classification problem

2018 1.1k citations Agnieszka Mikołajczyk, Michał Grochowski profile →

Peers

Countries citing papers authored by Michał Grochowski

Since Specialization

Citations

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

Fields of papers citing papers by Michał Grochowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Grochowski

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Optimizing Control of Wastewater Treatment Plant With Reinforcement Learning: Technical Evaluation of Twin-Delayed Deep Deterministic Policy Gradient Agent 2024 ·IEEE Access ·(unknown), Michał Grochowski	5
2	Attention-Based Deep Learning System for Classification of Breast Lesions—Multimodal, Weakly Supervised Approach 2023 ·Cancers ·Maciej Bobowicz, (unknown), (unknown), (unknown), (unknown), Arkadiusz Kwasigroch, Edyta Szurowska, Michał Grochowski	17
3	Exploring the landscape of automatic cerebral microbleed detection: A comprehensive review of algorithms, current trends, and future challenges 2023 ·Expert Systems with Applications ·(unknown), (unknown), Michał Grochowski, (unknown), Edyta Szurowska	5
4	Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models 2023 ·(unknown), (unknown), Maciej Bobowicz, (unknown), (unknown), Arkadiusz Kwasigroch, Michał Grochowski	2
5	How High-Tech Solutions Support the Fight Against IUU and Ghost Fishing: A Review of Innovative Approaches, Methods, and Trends 2022 ·IEEE Access ·(unknown), (unknown), Michał Grochowski, (unknown)	13
6	A Comprehensive Analysis of Deep Neural-Based Cerebral Microbleeds Detection System 2021 ·Electronics ·(unknown), Michał Grochowski, Arkadiusz Kwasigroch, Agnieszka Mikołajczyk, Edyta Szurowska, (unknown), Agnieszka Sabisz	16
7	Self-Supervised Learning to Increase the Performance of Skin Lesion Classification 2020 ·Electronics ·Arkadiusz Kwasigroch, Michał Grochowski, Agnieszka Mikołajczyk	25
8	Selected technical issues of deep neural networks for image classification purposes 2019 ·Bulletin of the Polish Academy of Sciences Technical Sciences ·Michał Grochowski, Arkadiusz Kwasigroch, Agnieszka Mikołajczyk	6
9	Diagnosis of malignant melanoma by neural network ensemble-based system utilising hand-crafted skin lesion features 2019 ·Metrology and Measurement Systems ·Michał Grochowski, Agnieszka Mikołajczyk, Arkadiusz Kwasigroch	5
10	Machine learning system for automated blood smear analysis 2019 ·Metrology and Measurement Systems ·Michał Grochowski, (unknown), Agnieszka Mikołajczyk, Mateusz Ficek, (unknown)	10
11	Data augmentation for improving deep learning in image classification problem breakdown → 2018 ·Agnieszka Mikołajczyk, Michał Grochowski	1130
12	Nuclear power plant steam turbine—Modeling for model based control purposes 2017 ·Applied Mathematical Modelling ·(unknown), Michał Grochowski, Kazimierz Duzinkiewicz, (unknown)	6
13	Deep neural networks approach to skin lesions classification — A comparative analysis 2017 ·Arkadiusz Kwasigroch, Agnieszka Mikołajczyk, Michał Grochowski	51
14	Supervised model predictive control of wastewater treatment plant 2016 ·Michał Grochowski, Tomasz A. Rutkowski	14
15	Advanced Control Structures of Turbo Generator System of Nuclear Power Plant 2015 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), (unknown), Kazimierz Duzinkiewicz, Tomasz A. Rutkowski, Michał Grochowski	8
16	Use of Neural Networks in Diagnostics of Rolling-Element Bearing of the Induction Motor 2013 ·Key engineering materials ·(unknown), Kazimierz Duzinkiewicz, Michał Grochowski, Tomasz A. Rutkowski	8
17	Modelowanie, sterowanie i wizualizacja quadrocoptera 2012 ·(unknown), (unknown), (unknown), Michał Grochowski	0
18	Hierarchical predictive control of integrated wastewater treatment systems 2007 ·Control Engineering Practice ·M. Brdyś, Michał Grochowski, (unknown), (unknown), (unknown)	114
19	ANALYSIS AND DESIGN OF SOFTLY SWITCHED MODEL PREDICTIVE CONTROL 2005 ·IFAC Proceedings Volumes ·Jingsong Wang, Michał Grochowski, Mietek A. Brdyś	28
20	Intelligent Control Structure for Control of Integrated Wastewater Systems 2004 ·IFAC Proceedings Volumes ·Michał Grochowski, M. Brdyś, (unknown)	11

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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