M.K. Ibrahim

1.5k citations
129 papers · 1.2k · h-index 14

Impact in

Papers in

M.K. Ibrahim

113 papers receiving 1.1k citations

Peers

M.K. Ibrahim
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 222
  • Signal Processing 76
  • Organic Chemistry 280
  • Information Systems 213
  • Computational Theory and Mathematics 130
Replace Haomiao Liu with:
Haomiao Liu China
Jiangchao Yao China
H. Park United States
Weiyi Zhang United States
Peg Howland United States
Pei Zhang China
Vyacheslav Kungurtsev Czechia
M.K. Ibrahim relative to Haomiao Liu China Haomiao Liu's profile →
Citations per field
00.5×5×10×13.3×
Haomiao Liu · 1×
Citations per year

Countries citing papers authored by M.K. Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by M.K. Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019163
2 2006148
3 2018116
4 202088
5 200251
6 200732
7 200730
8 200721
9 199820
10 199518
11 201118
12 199617
13 200315
14 199014
15 199414
16 199914
17 199413
18 199112
19 199312
20 199712

About M.K. Ibrahim

M.K. Ibrahim is a scholar working on Information Systems, Signal Processing, Computational Theory and Mathematics, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 129 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (38 papers), Numerical Methods and Algorithms (19 papers), Digital Filter Design and Implementation (10 papers), Aerodynamics and Acoustics in Jet Flows (9 papers), Low-power high-performance VLSI design (9 papers), Turbomachinery Performance and Optimization (8 papers), Direction-of-Arrival Estimation Techniques (6 papers) and Advanced Data Compression Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (222 citations), Signal Processing (76 citations), Organic Chemistry (280 citations), Information Systems (213 citations) and Computational Theory and Mathematics (130 citations). M.K. Ibrahim has collaborated with scholars based in United Kingdom, Saudi Arabia and Japan. Frequent co-authors include Lahouari Ghouti, Ahmed Bouridane, Yoshiaki Nakamura, A. Aggoun, Said Boussakta, Ahmed B. M. Mehany, Mahmoud A. ElSohly, Mostafa A. Elhendawy, Mohamed M. Radwan and Ibrahim H. Eissa. Their work appears in journals such as Electronics Letters, AIAA Journal, Signal Processing, Chaos Solitons & Fractals and Bioorganic Chemistry.

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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