Science Explorer Back to mapMap
Discussion
Researcher · Trunojoyo University · Indonesia

Muhammad Armghan Latif

Muhammad Armghan Latif publishes mostly in Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications, on topics such as Machine Fault Diagnosis Techniques, Network Security and Intrusion Detection and Fault Detection and Control Systems.

ORCID 0000-0002-7212-8017 OpenAlex
World rank
#1,874,256
of 7,710,434 ranked researchers
Rank in Indonesia
#4,850
of 148,020
Works
29
Citations
393
Citations per work
13.6
h-index
7
i10-index 7Top 65% in Artificial Intelligence
Muhammad Armghan Latif

What does Muhammad Armghan Latif research?

Muhammad Armghan Latif's work is mostly in Computer Science (25%), Engineering (23%), Decision Sciences (8%).

Physical Sciences: 14 works · 48.0% of their workComputer Science: 7 works · 25.4% of their workArtificial Intelligence: 4 works · 14.7% of their workComputer Networks and Communications: 3 works · 10.7% of their workEngineering: 7 works · 22.6% of their workControl and Systems Engineering: 3 works · 12.0% of their workElectrical and Electronic Engineering: 2 works · 5.3% of their workMechanical Engineering: 2 works · 5.3% of their workEverything else: 13 works · 44.0% of their workSocial Sciences: 2 works · 8.0% of their workDecision Sciences: 2 works · 8.0% of their workManagement Science and Operations Research: 2 works · 8.0% of their workTHEIR WORKMuhammad ArmghanLatif29works
Physical Sciences48%Social Sciences8%

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 Science725.4%
    2. Engineering722.6%
  2. Everything else1344.0%
    1. Decision Sciences28.0%
  1. 1Artificial Intelligence15% of their works
  2. 2Control and Systems Engineering12% of their works
  3. 3Computer Networks and Communications11% of their works
  4. 4Management Science and Operations Research8% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Mechanical Engineering5% of their works

Research topics

Which keywords describe Muhammad Armghan Latif's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Neural Networks, Empirical Mode Decomposition, Fault Diagnosis, Fault Detection, Grey System Theory and Intrusion Detection.

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.

All 19 words, with their numbers
  1. Machine Learning155 topics
  2. Deep Learning124 topics
  3. Neural Networks72 topics
  4. Empirical Mode Decomposition51 topic
  5. Fault Diagnosis51 topic
  6. Fault Detection31 topic
  7. Grey System Theory31 topic
  8. Intrusion Detection31 topic
  9. Network Security31 topic
  10. Process Monitoring31 topic
  11. Time Series Prediction31 topic
  12. Automatic21 topic
  13. Extraction21 topic
  14. Multi-label Learning21 topic
  15. Opinion Mining21 topic
  16. Plant Disease Detection21 topic
  17. Sentiment Analysis21 topic
  18. Smart Farming21 topic
  19. Text Classification21 topic

Where does Muhammad Armghan Latif work?

Muhammad Armghan Latif's main affiliation in the publication record is Trunojoyo University, Indonesia.

How many publications and citations does Muhammad Armghan Latif have?

OpenAlex counts 29 works and 393 citations for Muhammad Armghan Latif, an h-index of 7, ranking #1,874,256 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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

Ask a question or share a note about Muhammad Armghan Latif. Posts are plain text and can be reported.