M.J. Damborg

2.6k citations
39 papers · 2.0k · 1 hit paper · h-index 14

Impact in

Papers in

M.J. Damborg

37 papers receiving 1.8k citations

M.J. Damborg's Hit Papers

Electric load forecasting using an artificial neural network 1991 · 1.1k citations
1.1k0+11+23Years since publication2505007501000

Peers

M.J. Damborg
Comparison fields: 5 of 101
  • Control and Systems Engineering 756
  • Management Science and Operations Research 341
  • Electrical and Electronic Engineering 1.4k
  • Artificial Intelligence 467
  • Environmental Engineering 169
Replace D. Maratukulam with:
D. Maratukulam United States
V. Petridis Greece
C.S. Chang Singapore
Zuriani Mustaffa Malaysia
Lalit Mohan Saini India
Ehab E. Elattar Saudi Arabia
Chia-Nan Ko Taiwan
Chan‐Nan Lu Taiwan
Haiyang Zheng United States
Anbo Meng China
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Citations per year

Countries citing papers authored by M.J. Damborg

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Damborg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.J. Damborg. 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 M.J. Damborg. The network helps show where M.J. Damborg may publish in the future.

Co-authors

The 23 scholars most cited alongside M.J. Damborg, 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 M.J. Damborg Line = papers co-authored together M.J. Damborg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Electric load forecasting using an artificial neural network
Hit paper breakdown →
19911113
2 1987149
3 1984117
4 199083
5 199177
6 198976
7 199259
8 198444
9 198226
10 198623
11 198919
12 198617
13 200215
14 198915
15 197013
16 200212
17 200312
18 199210
19 19929
20 20029

About M.J. Damborg

M.J. Damborg is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 39 papers that have together received 2.0k indexed citations. Recurring topics across this work include Power Systems Fault Detection (11 papers), Power System Optimization and Stability (9 papers), Smart Grid Security and Resilience (7 papers), Control Systems and Identification (7 papers), Power Systems and Technologies (7 papers), Neural Networks and Applications (6 papers), Stability and Control of Uncertain Systems (6 papers) and Advanced Control Systems Optimization (4 papers). The work is most often cited by research in Control and Systems Engineering (756 citations), Management Science and Operations Research (341 citations), Electrical and Electronic Engineering (1.4k citations), Artificial Intelligence (467 citations) and Environmental Engineering (169 citations). M.J. Damborg has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Robert J. Marks, M.A. El-Sharkawi, Dong-Chul Park, Les Atlas, Mario Sznaier, R. Ramaswami, S.S. Venkata, S. Weerasooriya, Arch W. Naylor and G. Kosály. Their work appears in journals such as IEEE Transactions on Power Systems, Automatica, IEEE Transactions on Power Delivery, International Journal of Electrical Power & Energy Systems and IEEE Transactions on Robotics and Automation.

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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