Konrad Wojdan

877 total citations
26 papers, 232 citations indexed

About

Konrad Wojdan is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Konrad Wojdan has authored 26 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 8 papers in Electrical and Electronic Engineering and 7 papers in Molecular Biology. Recurrent topics in Konrad Wojdan's work include Advanced Control Systems Optimization (10 papers), Artificial Immune Systems Applications (5 papers) and Integrated Energy Systems Optimization (4 papers). Konrad Wojdan is often cited by papers focused on Advanced Control Systems Optimization (10 papers), Artificial Immune Systems Applications (5 papers) and Integrated Energy Systems Optimization (4 papers). Konrad Wojdan collaborates with scholars based in Poland, United States and Serbia. Konrad Wojdan's co-authors include Jakub Białek, Konrad Świrski, Wojciech Bujalski, Błażej Ruszczycki, Anna Nasierowska‐Guttmejer, Michał Warchoł, Barbara Lisowska‐Myjak, Sunil Badve, Renata Duchnowska and Murat Dündar and has published in prestigious journals such as Energy, Applied Thermal Engineering and Journal of Neuro-Oncology.

In The Last Decade

Konrad Wojdan

24 papers receiving 223 citations

Peers

Konrad Wojdan
Lingyue Liu China
Mengru Wu China
Xiuming Li China
Chunlin Wang China
Bingxu Li China
Yao Huang China
Guangqi Wang China
Zhuofu Deng China
Chuanzhi Li China
Lingyue Liu China
Konrad Wojdan
Citations per year, relative to Konrad Wojdan Konrad Wojdan (= 1×) peers Lingyue Liu

Countries citing papers authored by Konrad Wojdan

Since Specialization
Citations

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

Fields of papers citing papers by Konrad Wojdan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konrad Wojdan

This figure shows the co-authorship network connecting the top 25 collaborators of Konrad Wojdan. A scholar is included among the top collaborators of Konrad Wojdan 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 Konrad Wojdan. Konrad Wojdan 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.
Wojdan, Konrad & Marcin Moniuszko. (2022). Sztuczna inteligencja w medycynie – stan aktualny i wyzwania wdrożeniowe. 41–52.
2.
Białek, Jakub, et al.. (2022). Dataset Level Explanation of Heat Demand Forecasting Ann with Shap. SSRN Electronic Journal. 6 indexed citations
3.
Wojdan, Konrad, et al.. (2020). Long-term prediction of underground gas storage user gas flow nominations. 99(4). 272–280. 1 indexed citations
4.
Weschke, Bernhard, Christoph Hertzberg, Katarzyna Kotulska, et al.. (2019). First Results of the EPISTOP Study. Neuropediatrics. 1 indexed citations
5.
Wojdan, Konrad, et al.. (2018). New approach to optimizing combustion in power boilers using software inspired by the immune system integrated with an in-furnace temperature monitoring system. Biuletyn Instytutu Techniki Cieplnej. 97(4). 308–313. 1 indexed citations
6.
Warchoł, Michał, et al.. (2018). The method for optimisation of gas compressors performance in gas storage systems. International Journal of Oil Gas and Coal Technology. 17(1). 12–12. 7 indexed citations
7.
Wojdan, Konrad, et al.. (2018). Combustion Process Analysis and Diagnostic Using Optical Flame Scanners in Front-Fired Pulverized Coal Boiler. Journal of Energy Resources Technology. 140(7). 7 indexed citations
8.
Lisowska‐Myjak, Barbara, et al.. (2018). Protein and peptide profiles in neonatal meconium. Journal of obstetrics and gynaecology research. 45(3). 556–564. 11 indexed citations
9.
Wojdan, Konrad, Błażej Ruszczycki, Konrad Świrski, & Michał Warchoł. (2017). The Method for Optimisation of Gas Compressors Performance in Gas Storage Systems. International Journal of Oil Gas and Coal Technology. 1(1). 1–1. 2 indexed citations
10.
Wojdan, Konrad, et al.. (2017). Optimization of combustion process in coal-fired power plant with utilization of acoustic system for in-furnace temperature measurement. Applied Thermal Engineering. 123. 711–720. 26 indexed citations
11.
Duchnowska, Renata, Jacek Jassem, Chirayu Goswami, et al.. (2015). Predicting early brain metastases based on clinicopathological factors and gene expression analysis in advanced HER2-positive breast cancer patients. Journal of Neuro-Oncology. 122(1). 205–216. 29 indexed citations
12.
Stępniak, Piotr, et al.. (2014). Smooth muscle contamination analysis in clinical oncology gene expression research.. Acta Biochimica Polonica. 61(2). 333–40. 1 indexed citations
13.
Wojdan, Konrad, et al.. (2013). Method for Simulation and Optimization of Underground Gas Storage Performance. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 69(7). 1237–1249. 11 indexed citations
14.
Wojdan, Konrad. (2011). A Practical Approach To Combustion Process Optimization Using An Improved Immune Optimizer. 3. 7 indexed citations
15.
Wojdan, Konrad, Konrad Świrski, & Michał Warchoł. (2010). Transition States Handling in Self-Adaptive Steady State Optimizer of Industrial Processes. 2 indexed citations
16.
Wojdan, Konrad, et al.. (2009). Maintaining Good Conditioning of Model Identification Task in Immune Inspired On-line Optimizer of an Industrial Process. Engineering letters. 17. 93–100. 1 indexed citations
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Jankowski, S., et al.. (2006). <title>Approximation of HRPITS results for SI GaAs by large scale support vector machine algorithms</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 634730–634730.

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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