Daniel A. Haughton
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Safety, Risk, Reliability and Quality top 10%
- Computer Networks and Communications
- Automotive Engineering
- Co-authors
- HeydtG.T. HeydtFanjun MengMariesa L. CrowBadrul ChowdhurySiddharth SuryanarayananAnish GaikwadStephen J. Kerr
- Topics
- Optimal Power Flow Distribution (5 papers)Smart Grid Energy Management (3 papers)Power System Optimization and Stability (2 papers)
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringSafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Power SystemsIEEE Transactions on Smart GridElectric Power Systems Research
- Partner nations
- United States
In The Last Decade
Daniel A. Haughton
6 papers receiving 323 citations
Peers
Comparison fields: 5 of 23
- Electrical and Electronic Engineering 328
- Control and Systems Engineering 167
- Safety, Risk, Reliability and Quality 40
- Computer Networks and Communications 16
- Automotive Engineering 9
Countries citing papers authored by Daniel A. Haughton
This map shows the geographic impact of Daniel A. Haughton'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 A. Haughton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Haughton more than expected).
Fields of papers citing papers by Daniel A. Haughton
This network shows the impact of papers produced by Daniel A. Haughton. 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 A. Haughton. The network helps show where Daniel A. Haughton may publish in the future.
Co-authorship network of co-authors of Daniel A. Haughton
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Haughton. A scholar is included among the top collaborators of Daniel A. Haughton 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 Daniel A. Haughton. Daniel A. Haughton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 16 | |
| 3 | 175 | |
| 4 | 91 | |
| 5 | 15 | |
| 6 | 27 |
About Daniel A. Haughton
Daniel A. Haughton is a scholar working on Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 6 papers that have together received 339 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (5 papers), Smart Grid Energy Management (3 papers) and Power System Optimization and Stability (2 papers). The work is most often cited by research in Control and Systems Engineering (167 citations), Electrical and Electronic Engineering (328 citations) and Safety, Risk, Reliability and Quality (40 citations). Daniel A. Haughton has collaborated with scholars based in United States. Frequent co-authors include Heydt, G.T. Heydt, Fanjun Meng, Mariesa L. Crow, Badrul Chowdhury, Siddharth Suryanarayanan, Anish Gaikwad, Stephen J. Kerr, Jens C. Boemer and Deepak Ramasubramanian. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid and Electric Power Systems Research.
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.