M.D. Kankam

1.1k citations
49 papers · 822 · h-index 16

Impact in

Papers in

M.D. Kankam

46 papers receiving 766 citations

Peers

M.D. Kankam
Comparison fields: 5 of 51
  • Control and Systems Engineering 405
  • Electrical and Electronic Engineering 640
  • Automotive Engineering 70
  • Artificial Intelligence 150
  • Mechanical Engineering 117
Replace F. Bétin with:
F. Bétin France
Saeed Jafarzadeh United States
Ying‐Chih Hung Taiwan
Eric Walters United States
Anjali S. Junghare India
Akhilesh Swarup India
B.R. Menezes Brazil
Rubén Tapia-Olvera Mexico
Yunzhi Huang China
N. Goléa Algeria
M.D. Kankam relative to F. Bétin France F. Bétin's profile →
Citations per field
00.5×1.5×2.1×
F. Bétin · 1×
Citations per year

Countries citing papers authored by M.D. Kankam

Since Specialization
Citations

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

Fields of papers citing papers by M.D. Kankam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200294
2 200290
3 199779
4 198777
5 200145
6 199640
7 200036
8 200334
9 200227
10 200124
11 200224
12 200222
13 199522
14
A Survey of Power Electronics Applications in Aerospace Technologies
200119
15 200218
16 198817
17 199215
18 200512
19 200710
20 200310

About M.D. Kankam

M.D. Kankam is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Artificial Intelligence and Aerospace Engineering, having authored 49 papers that have together received 822 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (14 papers), Sensorless Control of Electric Motors (13 papers), Advanced Thermodynamic Systems and Engines (6 papers), Neural Networks and Applications (6 papers), Advanced Battery Technologies Research (6 papers), Spacecraft and Cryogenic Technologies (6 papers), Advanced DC-DC Converters (6 papers) and Fuzzy Logic and Control Systems (6 papers). The work is most often cited by research in Control and Systems Engineering (405 citations), Electrical and Electronic Engineering (640 citations), Automotive Engineering (70 citations), Artificial Intelligence (150 citations) and Mechanical Engineering (117 citations). M.D. Kankam has collaborated with scholars based in United States and Canada. Frequent co-authors include A. Rubaai, Malik Elbuluk, David S. Ricketts, W.W. Price, B.K. Bose, Chanan Singh, Daniel H. Baker, R.J. Piwko, Chao Wu and Ralph Jansen. Their work appears in journals such as IEEE Transactions on Industry Applications, IEEE Aerospace and Electronic Systems Magazine, SAE technical papers on CD-ROM/SAE technical paper series, IEEE Transactions on Power Systems and IEEE Transactions on Reliability.

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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