Dominik Engel

2.0k citations
81 papers · 1.3k indexed · h-index 19
Topics
Smart Grid Security and Resilience (28 papers)Smart Grid Energy Management (24 papers)Chaos-based Image/Signal Encryption (18 papers)
Journals
SHILAP Revista de lepidopterologíaNature EnergyIEEE Transactions on Smart Grid

In The Last Decade

Dominik Engel

79 papers receiving 1.2k citations

Peers

Dominik Engel
Comparison fields: 5 of 73
  • Electrical and Electronic Engineering 526
  • Information Systems 489
  • Artificial Intelligence 388
  • Control and Systems Engineering 365
  • Computer Vision and Pattern Recognition 277
Replace Joohyung Lee with:
Joohyung Lee South Korea
Long Cheng China
Pál Varga Hungary
Neetesh Saxena United Kingdom
Lynda Mokdad France
Zhitao Guan China
Marco Picone Italy
André Luckow United States
Áron Lászka United States
Nawab Muhammad Faseeh Qureshi South Korea
Dominik Engel relative to Joohyung Lee South Korea Joohyung Lee's profile →
Citations per field
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Joohyung Lee · 1×
Citations per year

Countries citing papers authored by Dominik Engel

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Engel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dominik Engel. 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 Dominik Engel. The network helps show where Dominik Engel may publish in the future.

Co-authorship network of co-authors of Dominik Engel

This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Engel. A scholar is included among the top collaborators of Dominik Engel 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 Dominik Engel. Dominik Engel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 7
3 1
4 2
5 55
6 11
7 19
8
Application and Testing of Business Processes in the Energy Domain.
0
9 12
10 2
11 6
12 13
13 72
14 7
15 14
16 1
17 36
18 7
19 8
20
ADAPTIVE IMAGE COMPRESSION OF ARBITRARILY SHAPED OBJECTS USING WAVELET PACKETS
2

About Dominik Engel

Dominik Engel is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Smart Grid Security and Resilience (28 papers), Smart Grid Energy Management (24 papers) and Chaos-based Image/Signal Encryption (18 papers). The work is most often cited by research in Information Systems (489 citations), Control and Systems Engineering (365 citations) and Computer Vision and Pattern Recognition (277 citations). Dominik Engel has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Andreas Unterweger, Fabian Knirsch, Günther Eibl, Andreas Uhl, Christian Neureiter, Mathias Uslar, Thomas Stütz, Johannes Reichl, Andrea Kollmann and Valeriya Azarova. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature Energy and IEEE Transactions on Smart Grid.

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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