Ahmed M. Helmi

1.9k citations
42 papers · 1.2k indexed · 1 hit paper · h-index 19

Ahmed M. Helmi

39 papers receiving 1.2k citations

Hit Papers

Virtual Reality and Its Applications in Education: Survey266201920262021202350100150200250

Peers

Ahmed M. Helmi
Comparison fields: 5 of 138
  • Human-Computer Interaction 184
  • Computer Vision and Pattern Recognition 429
  • Artificial Intelligence 370
  • Control and Systems Engineering 188
  • Energy Engineering and Power Technology 19
Replace Mehdi Adda with:
Mehdi Adda Canada
Hiram Pönce Mexico
Ana M. Bernardos Spain
Fahd N. Al‐Wesabi Saudi Arabia
Ankit Chaudhary India
Noman Khan South Korea
Ammar Kamal Abasi United Arab Emirates
Hwa Jen Yap Malaysia
Kejun Wang China
Ahmed M. Helmi relative to Mehdi Adda Canada Mehdi Adda's profile →
Citations per field
00.5×3.6×
Mehdi Adda · 1×
Citations per year

Countries citing papers authored by Ahmed M. Helmi

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed M. Helmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20243
4 202410
5 20241
6 20244
7 20241
8 20240
9 202415
10 202351
11 20239
12 20236
13 20233
14 202318
15 202323
16 202161
17 202124
18 202152
19 202118
20 20197

About Ahmed M. Helmi

Ahmed M. Helmi is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Control and Systems Engineering, Artificial Intelligence and Energy Engineering and Power Technology, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), Optimal Power Flow Distribution (9 papers), Microgrid Control and Optimization (8 papers), IoT and Edge/Fog Computing (7 papers), Anomaly Detection Techniques and Applications (7 papers), Non-Invasive Vital Sign Monitoring (5 papers), Optimization and Search Problems (4 papers) and Photovoltaic System Optimization Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (184 citations), Computer Vision and Pattern Recognition (429 citations), Artificial Intelligence (370 citations), Control and Systems Engineering (188 citations) and Energy Engineering and Power Technology (19 citations). Ahmed M. Helmi has collaborated with scholars based in Egypt, Saudi Arabia and China. Frequent co-authors include Mohamed Abd Elaziz, Mohammed A. A. Al‐qaness, Abdelghani Dahou, Haitham S. Ramadan, Mohamed Issa, Rain Eric Haamer, Cagri Ozcinar, Egils Avots, Dorota Kamińska and Gholamreza Anbarjafari. Their work appears in journals such as Algorithmica, IEEE Internet of Things Journal, Future Generation Computer Systems, Expert Systems with Applications and Computers & Electrical Engineering.

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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