Daniel De Wolf
Impact in
-
- Hybrid Renewable Energy Systems
- General Energy top 2%
Papers in
-
- Electric Vehicles and Infrastructure 5
- Smart Grid Energy Management 2
-
- Advanced Battery Technologies Research 4
- Vehicle emissions and performance 2
- Transportation and Mobility Innovations 2
- Co-authors
- Yves Smeers (5 shared papers)Martin K. Stiles (1 shared paper)Stéphane Auray (2 shared papers)Jean André (1 shared paper)Moez Kilani (2 shared papers)Kai Siemer (2 shared papers)Christoph Nytsch‐Geusen (1 shared paper)
In The Last Decade
Daniel De Wolf
15 papers receiving 576 citations
Peers
Comparison fields: 5 of 65
- Energy Engineering and Power Technology 153
- General Energy 41
- Electrical and Electronic Engineering 428
- Control and Systems Engineering 136
- Automotive Engineering 60
Countries citing papers authored by Daniel De Wolf
This map shows the geographic impact of Daniel De Wolf'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 De Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel De Wolf more than expected).
Fields of papers citing papers by Daniel De Wolf
This network shows the impact of papers produced by Daniel De Wolf. 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 De Wolf. The network helps show where Daniel De Wolf may publish in the future.
Co-authors
The 7 scholars most cited alongside Daniel De Wolf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 358 | |
| 2 | 1996 | 70 | |
| 3 | 2014 | 58 | |
| 4 | 2023 | 45 | |
| 5 | 1959 | 37 | |
| 6 | 2022 | 13 | |
| 7 | 1995 | 6 | |
| 8 | 2022 | 6 | |
| 9 | MATHEMATICAL PROPERTIES OF FORMULATIONS OF THE GAS TRANSMISSION PROBLEM | 2017 | 4 |
| 10 | 2009 | 3 | |
| 11 | 2016 | 3 | |
| 12 | Solving the gas transmission problem with consideration of the compressors | 2008 | 2 |
| 13 | Evaluation of traffic polluting gases emissions using OR techniques: the case of the city of Tunis | 2008 | 2 |
| 14 | 2020 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2019 | 0 | |
| 17 | 1983 | 0 | |
| 18 | 2014 | 0 |
About Daniel De Wolf
Daniel De Wolf is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Control and Systems Engineering, Computational Theory and Mathematics and Numerical Analysis, having authored 18 papers that have together received 609 indexed citations. Recurring topics across this work include Electric Vehicles and Infrastructure (5 papers), Advanced Battery Technologies Research (4 papers), Vehicle emissions and performance (2 papers), Process Optimization and Integration (2 papers), Smart Grid Energy Management (2 papers), Transportation and Mobility Innovations (2 papers), Optimization and Variational Analysis (2 papers) and Advanced Optimization Algorithms Research (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (153 citations), General Energy (41 citations), Electrical and Electronic Engineering (428 citations), Control and Systems Engineering (136 citations) and Automotive Engineering (60 citations). Daniel De Wolf has collaborated with scholars based in France, Belgium and Germany. Frequent co-authors include Yves Smeers, Martin K. Stiles, Stéphane Auray, Jean André, Moez Kilani, Kai Siemer and Christoph Nytsch‐Geusen. Their work appears in journals such as Journal of the American Chemical Society, Management Science, Chemical Engineering Communications, International Journal of Hydrogen Energy and Operations 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.