Daniel K. Molzahn

4.5k citations
101 papers · 2.7k indexed · 2 hit papers · h-index 22

Impact in

Papers in

Daniel K. Molzahn

88 papers receiving 2.6k citations

Hit Papers

Power systems optimization under uncertainty: A review of methods and applications 2022 · 165 citations
1652017202620202023250500750

Peers

Daniel K. Molzahn
Comparison fields: 5 of 85
  • Control and Systems Engineering 1.3k
  • Electrical and Electronic Engineering 2.3k
  • Energy Engineering and Power Technology 71
  • Safety, Risk, Reliability and Quality 207
  • Numerical Analysis 100
Replace Patrick Panciatici with:
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Citations per field
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Citations per year

Countries citing papers authored by Daniel K. Molzahn

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Molzahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel K. Molzahn, 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 K. Molzahn Line = papers co-authored together Daniel K. Molzahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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Multi-ordered Lasserre hierarchy for large scale polynomial optimization in real and complex variables
20171

About Daniel K. Molzahn

Daniel K. Molzahn is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering, Control and Systems Engineering and Numerical Analysis, having authored 101 papers that have together received 2.7k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (74 papers), Power System Optimization and Stability (54 papers), Electric Power System Optimization (23 papers), Microgrid Control and Optimization (17 papers), Smart Grid Energy Management (16 papers), Power System Reliability and Maintenance (12 papers), Probabilistic and Robust Engineering Design (11 papers) and Smart Grid Security and Resilience (6 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Electrical and Electronic Engineering (2.3k citations), Energy Engineering and Power Technology (71 citations), Safety, Risk, Reliability and Quality (207 citations) and Numerical Analysis (100 citations). Daniel K. Molzahn has collaborated with scholars based in United States, Switzerland and Denmark. Frequent co-authors include Ian A. Hiskens, Bernard C. Lesieutre, Steven H. Low, Christopher L. DeMarco, Henrik Sandberg, Sambuddha Chakrabarti, Ross Baldick, Florian Dörfler, Javad Lavaei and Line Roald. Their work appears in journals such as IEEE Transactions on Power Systems, Electric Power Systems Research, IEEE Transactions on Smart Grid, Sustainable Energy Grids and Networks and SIAM Journal on Optimization.

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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