Michael Bongards

899 total citations · 1 hit paper
29 papers, 690 citations indexed

About

Michael Bongards is a scholar working on Building and Construction, Pollution and Control and Systems Engineering. According to data from OpenAlex, Michael Bongards has authored 29 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Building and Construction, 9 papers in Pollution and 9 papers in Control and Systems Engineering. Recurrent topics in Michael Bongards's work include Anaerobic Digestion and Biogas Production (10 papers), Wastewater Treatment and Nitrogen Removal (9 papers) and Advanced Control Systems Optimization (7 papers). Michael Bongards is often cited by papers focused on Anaerobic Digestion and Biogas Production (10 papers), Wastewater Treatment and Nitrogen Removal (9 papers) and Advanced Control Systems Optimization (7 papers). Michael Bongards collaborates with scholars based in Germany, Ireland and United Kingdom. Michael Bongards's co-authors include Christian Wolf, Daniel Gaida, Miguel Mauricio‐Iglesias, Ana Soares, Stefano B. Longo, Almudena Hospido, Antonio M. Chaparro, Juan M. Lema, Francesco Fatone and Seán McLoone and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Water Science & Technology.

In The Last Decade

Michael Bongards

27 papers receiving 662 citations

Hit Papers

Monitoring and diagnosis of energy consumption in wastewa... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Bongards Germany 11 356 225 178 146 92 29 690
Christian Kazadi Mbamba Australia 11 371 1.0× 352 1.6× 372 2.1× 206 1.4× 114 1.2× 15 867
Lorenza Meucci Italy 12 438 1.2× 271 1.2× 169 0.9× 38 0.3× 106 1.2× 18 736
George Skouteris United Kingdom 10 454 1.3× 133 0.6× 191 1.1× 47 0.3× 204 2.2× 16 689
Senthil Kumar Arumugasamy Malaysia 19 248 0.7× 165 0.7× 107 0.6× 80 0.5× 267 2.9× 52 924
C.J. Brouckaert South Africa 12 277 0.8× 121 0.5× 156 0.9× 79 0.5× 132 1.4× 35 561
Xuyao Li China 10 314 0.9× 188 0.8× 131 0.7× 66 0.5× 46 0.5× 18 652
Youn-Kyoo Choung South Korea 14 289 0.8× 119 0.5× 168 0.9× 68 0.5× 109 1.2× 25 622
Darko Vrečko Slovenia 18 421 1.2× 218 1.0× 556 3.1× 110 0.8× 67 0.7× 46 1.0k
E. Ayesa Spain 19 478 1.3× 364 1.6× 578 3.2× 200 1.4× 121 1.3× 59 1.1k
P. Grau Spain 16 301 0.8× 287 1.3× 367 2.1× 123 0.8× 66 0.7× 32 730

Countries citing papers authored by Michael Bongards

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bongards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Bongards

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Bongards. A scholar is included among the top collaborators of Michael Bongards 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 Michael Bongards. Michael Bongards 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.
Bongards, Michael, et al.. (2022). Robust state estimation of the anaerobic digestion process for municipal organic waste using an unscented Kalman filter. Journal of Process Control. 121. 50–59. 3 indexed citations
2.
Bongards, Michael, et al.. (2020). Eucalyptus Kraft Lignin as an Additive Strongly Enhances the Mechanical Resistance of Tree-Leaf Pellets. Processes. 8(3). 376–376. 5 indexed citations
3.
Bongards, Michael, et al.. (2019). Determining Conditions of Intermittently Fed Digesters from Biogas Production Rate Data. Chemical Engineering & Technology. 43(1). 19–28. 1 indexed citations
4.
Gaida, Daniel, Christian Wolf, & Michael Bongards. (2016). Feed control of anaerobic digestion processes for renewable energy production: A review. Renewable and Sustainable Energy Reviews. 68. 869–875. 86 indexed citations
5.
Bongards, Michael, et al.. (2014). Intelligent automation and IT for the optimization of renewable energy and wastewater treatment processes. Energy Sustainability and Society. 4(1). 10 indexed citations
6.
Wolf, Christian, et al.. (2014). COD and NH<inf>4</inf>-N estimation in the inflow of Wastewater Treatment Plants using Machine Learning Techniques. Research Portal (Queen's University Belfast). 1890. 812–817. 4 indexed citations
7.
Gaida, Daniel, Christian Wolf, Thomas Bäck, & Michael Bongards. (2014). Multi-objective nonlinear model predictive substrate feed control of a biogas plant. ePublications (Technical University of Cologne). 1 indexed citations
8.
Gaida, Daniel, Christian Wolf, Craig H. Meyer, et al.. (2012). State estimation for anaerobic digesters using the ADM1. Water Science & Technology. 66(5). 1088–1095. 30 indexed citations
9.
Gaida, Daniel, et al.. (2011). Optimal Control of Biogas Plants using NonlinearModel Predictive Control. MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth). 17 indexed citations
10.
Gaida, Daniel, et al.. (2011). Optimal Control of Biogas Plants Using Nonlinear MPC. Research Portal (Queen's University Belfast). 4 indexed citations
11.
Wolf, Christian, et al.. (2011). Self-Organizing Map based operating regime estimation for state based control of wastewater treatment plants. Maynooth University ePrints and eTheses Archive (Maynooth University). 390–395. 1 indexed citations
12.
Ludwig, Thomas, et al.. (2011). Simulation and optimization of an experimental membrane wastewater treatment plant using computational intelligence methods. Water Science & Technology. 63(10). 2255–2260. 10 indexed citations
13.
Wolf, Christian, Daniel Gaida, André Stuhlsatz, et al.. (2011). Predicting organic acid concentration from UV/vis spectrometry measurements – a comparison of machine learning techniques. Transactions of the Institute of Measurement and Control. 35(1). 5–15. 25 indexed citations
14.
McLoone, Seán, et al.. (2007). Automatic Detection of Process Instabilities in Wastewater Treatment by Principal Component Analysis. Research Portal (Queen's University Belfast). 1 indexed citations
15.
17.
Bongards, Michael, et al.. (2005). Computational intelligence-based optimisation of wastewater treatment plants. Water Science & Technology. 52(12). 99–104. 5 indexed citations
18.
Bongards, Michael, et al.. (2004). Predictive control of wastewater works by neural networks. 17. 397–402. 1 indexed citations
19.
Bongards, Michael, et al.. (1993). Principles of Operation and Experimental Results for a Small Wastewater Treatment Plant of 300 Population Equivalents. Water Science & Technology. 28(10). 387–392. 3 indexed citations
20.
Bongards, Michael. (1984). Der Einfluß von Teilchengröße und Polydispersität auf die Elektrolytstabilität emulgatorfreier Polystyrollatices. Forschung im Ingenieurwesen. 50(5). 159–159. 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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