Daniel Gaida

507 citations
17 papers · 250 · h-index 9

Impact in

Papers in

Daniel Gaida

16 papers receiving 241 citations

Peers

Daniel Gaida
Comparison fields: 5 of 55
  • Building and Construction 106
  • Water Science and Technology 86
  • Pollution 58
  • Energy Engineering and Power Technology 15
  • Industrial and Manufacturing Engineering 30
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Citations per year

Countries citing papers authored by Daniel Gaida

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gaida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Daniel Gaida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Gaida Line = papers co-authored together Daniel Gaida links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201690
2 201231
3 201125
4
Optimal Control of Biogas Plants using NonlinearModel Predictive Control
201117
5 201215
6 201515
7 201615
8 201213
9 201410
10 20164
11
Optimal Control of Biogas Plants Using Nonlinear MPC
20114
12 20144
13 20173
14 20151
15 20161
16
Multi-objective nonlinear model predictive substrate feed control of a biogas plant
20141
17
State Estimation for Anaerobic Digesters using the ADM1
20111

About Daniel Gaida

Daniel Gaida is a scholar working on Building and Construction, Control and Systems Engineering, Biomedical Engineering, Water Science and Technology and Molecular Biology, having authored 17 papers that have together received 250 indexed citations. Recurring topics across this work include Anaerobic Digestion and Biogas Production (7 papers), Advanced Control Systems Optimization (4 papers), Process Optimization and Integration (3 papers), Membrane Separation Technologies (2 papers), Water Quality Monitoring and Analysis (2 papers), Advanced Sensor Technologies Research (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Building and Construction (106 citations), Water Science and Technology (86 citations), Pollution (58 citations), Energy Engineering and Power Technology (15 citations) and Industrial and Manufacturing Engineering (30 citations). Daniel Gaida has collaborated with scholars based in Germany, Ireland and Netherlands. Frequent co-authors include Michael Bongards, Christian Wolf, Thomas Bäck, Seán McLoone, André Stuhlsatz, Martin Zaefferer, Thomas Bartz–Beielstein, Thomas Ludwig, Kaifeng Yang and Craig H. Meyer. Their work appears in journals such as Water Science & Technology, Energy Sustainability and Society, Applied Soft Computing, Renewable and Sustainable Energy Reviews and at - Automatisierungstechnik.

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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