Daniel B. Leineweber

863 citations
8 papers · 533 · h-index 6

Impact in

    • Advanced Optimization Algorithms Research
    • Advanced Control Systems Optimization
    • Process Optimization and Integration
    • Fault Detection and Control Systems
    • Control Systems and Identification

Papers in

Daniel B. Leineweber

8 papers receiving 492 citations

Peers

Daniel B. Leineweber
Comparison fields: 5 of 82
  • Numerical Analysis 86
  • Control and Systems Engineering 332
  • Computational Theory and Mathematics 80
  • Statistics, Probability and Uncertainty 21
  • Physical Therapy, Sports Therapy and Rehabilitation 12
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Citations per year

Countries citing papers authored by Daniel B. Leineweber

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Leineweber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Daniel B. Leineweber, 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 B. Leineweber Line = papers co-authored together Daniel B. Leineweber links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2003275
2 2003144
3 200353
4 200027
5
Efficient direct multiple shooting in nonlinear model predictive control
199914
6 200212
7
Production of Calcium Magnesium Acetate (CMA) from Dilute Aqueous Solutions of Acetic Acid
20025
8 20033

About Daniel B. Leineweber

Daniel B. Leineweber is a scholar working on Control and Systems Engineering, Molecular Biology, Numerical Analysis, Information Systems and Ocean Engineering, having authored 8 papers that have together received 533 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (6 papers), Process Optimization and Integration (5 papers), Field-Flow Fractionation Techniques (1 paper), Chemical and Environmental Engineering Research (1 paper), Reservoir Engineering and Simulation Methods (1 paper), Flexible and Reconfigurable Manufacturing Systems (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Zeolite Catalysis and Synthesis (1 paper). The work is most often cited by research in Numerical Analysis (86 citations), Control and Systems Engineering (332 citations), Computational Theory and Mathematics (80 citations), Statistics, Probability and Uncertainty (21 citations) and Physical Therapy, Sports Therapy and Rehabilitation (12 citations). Daniel B. Leineweber has collaborated with scholars based in Germany and Romania. Frequent co-authors include Hans Georg Bock, Johannes P. Schlöder, Irene Bauer, Andreas Schäfer, Jan Oldenburg, Wolfgang Marquardt, Moritz Diehl, H. G. Bock, J. P. Schlöder and Frank Allgöwer. Their work appears in journals such as AIChE Journal, Computers & Chemical Engineering and Chemie Ingenieur Technik.

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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