Dmitry Ishchenko

856 citations
32 papers · 653 indexed · h-index 13

Impact in

Papers in

Dmitry Ishchenko

32 papers receiving 622 citations

Peers

Dmitry Ishchenko
Comparison fields: 5 of 36
  • Control and Systems Engineering 457
  • Electronic, Optical and Magnetic Materials 206
  • Electrical and Electronic Engineering 490
  • Energy Engineering and Power Technology 14
  • Computer Networks and Communications 89
Replace Hanli Weng with:
Hanli Weng China
C.W. Fromen United States
Min Luo Switzerland
G. Sybille Canada
B. Jeyasurya Canada
J. De La Ree United States
V. Skendžić United States
Patrice Brunelle Canada
Ernesto Vázquez Martínez Mexico
E. Zhou China
Dmitry Ishchenko relative to Hanli Weng China Hanli Weng's profile →
Citations per field
00.5×7.4×
Hanli Weng · 1×
Citations per year

Countries citing papers authored by Dmitry Ishchenko

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Ishchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20222
2 20221
3 20216
4 20218
5 20205
6 20181
7 20184
8 20184
9 201824
10 201712
11 20161
12 201614
13 20141
14 2014148
15 20141
16 201222
17 200836
18 2007115
19 200753
20 20048

About Dmitry Ishchenko

Dmitry Ishchenko is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Computer Networks and Communications and Astronomy and Astrophysics, having authored 32 papers that have together received 653 indexed citations. Recurring topics across this work include Smart Grid Security and Resilience (18 papers), Microgrid Control and Optimization (9 papers), Power Systems Fault Detection (8 papers), Islanding Detection in Power Systems (7 papers), Magnetic Properties and Applications (7 papers), Smart Grid Energy Management (5 papers), Power Transformer Diagnostics and Insulation (5 papers) and HVDC Systems and Fault Protection (4 papers). The work is most often cited by research in Control and Systems Engineering (457 citations), Electronic, Optical and Magnetic Materials (206 citations), Electrical and Electronic Engineering (490 citations), Energy Engineering and Power Technology (14 citations) and Computer Networks and Communications (89 citations). Dmitry Ishchenko has collaborated with scholars based in United States, Switzerland and Russia. Frequent co-authors include Alexandre Oudalov, Hannu Laaksonen, Bruce A. Mork, Francisco Javier González, Joydeep Mitra, D. L. Stuehm, Reynaldo Nuqui, Mehmet H. Cintuglu, Junho Hong and Aaron Martin. Their work appears in journals such as IEEE Transactions on Power Delivery, IEEE Transactions on Smart Grid, Energies, IEEE Internet of Things Journal and IEEE Transactions on Industrial Informatics.

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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