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Researcher · SIMAD University · Somalia

Mohamed Abdirahman Elmi

Mohamed Abdirahman Elmi publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Adversarial Robustness in Machine Learning, Advanced Neural Network Applications and Video Surveillance and Tracking Methods.

ORCID 0009-0004-4435-9979 OpenAlex
World rank
#4,210,997
of 7,710,434 ranked researchers
Rank in Somalia
#118
of 157
Works
29
Citations
130
Citations per work
4.5
h-index
6
i10-index 3Top 74% in Artificial Intelligence
Mohamed Abdirahman Elmi

What does Mohamed Abdirahman Elmi research?

Mohamed Abdirahman Elmi's work is mostly in Computer Science (49%), Engineering (9%), Environmental Science (5%).

Physical Sciences: 18 works · 63.7% of their workComputer Science: 14 works · 49.4% of their workArtificial Intelligence: 6 works · 19.5% of their workInformation Systems: 5 works · 15.6% of their workComputer Vision and Pattern Recognition: 4 works · 14.3% of their workEngineering: 3 works · 9.1% of their workElectrical and Electronic Engineering: 2 works · 5.2% of their workMedia Technology: 1 works · 3.9% of their workEnvironmental Science: 2 works · 5.2% of their workGlobal and Planetary Change: 2 works · 5.2% of their workEverything else: 11 works · 36.3% of their workTHEIR WORKMohamedAbdirahman Elmi29works
Physical Sciences64%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science1449.4%
    2. Engineering39.1%
    3. Environmental Science25.2%
  2. Everything else1136.3%
  1. 1Artificial Intelligence20% of their works
  2. 2Information Systems16% of their works
  3. 3Computer Vision and Pattern Recognition14% of their works
  4. 4Global and Planetary Change5% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Media Technology4% of their works

Research topics

Which keywords describe Mohamed Abdirahman Elmi's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Neural Networks, Anomaly Detection, Adversarial Examples, ALPR and Automatic License Plate Recognition.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 21 words, with their numbers
  1. Deep Learning197 topics
  2. Convolutional Neural Networks93 topics
  3. Machine Learning52 topics
  4. Neural Networks52 topics
  5. Anomaly Detection42 topics
  6. ALPR31 topic
  7. Adversarial Examples31 topic
  8. Automatic License Plate Recognition31 topic
  9. Image Recognition31 topic
  10. IoT31 topic
  11. Object Detection31 topic
  12. Object Tracking31 topic
  13. Robustness31 topic
  14. Smart Vehicle Safety31 topic
  15. Visual Tracking31 topic
  16. Classification21 topic
  17. Imbalanced Data21 topic
  18. Intrusion Detection21 topic
  19. Network Security21 topic
  20. Outlier Detection21 topic
  21. Unsupervised21 topic

Where does Mohamed Abdirahman Elmi work?

Mohamed Abdirahman Elmi's main affiliation in the publication record is SIMAD University, Somalia.

How many publications and citations does Mohamed Abdirahman Elmi have?

OpenAlex counts 29 works and 130 citations for Mohamed Abdirahman Elmi, an h-index of 6, ranking #4,210,997 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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