Science Explorer Back to mapMap
Discussion
Researcher · Shomal University · Iran

Hamidreza Koohi

Hamidreza Koohi publishes mostly in Information Systems, Artificial Intelligence and Computer Networks and Communications, on topics such as Recommender Systems and Techniques, Advanced Graph Neural Networks and Smart Agriculture and AI.

ORCID 0000-0002-8501-6460 OpenAlex
World rank
#1,461,430
of 7,710,434 ranked researchers
Rank in Iran
#7,959
of 71,317
Works
15
Citations
605
Citations per work
40.3
h-index
9
i10-index 8Top 25% in Information Systems
Hamidreza Koohi

What does Hamidreza Koohi research?

Hamidreza Koohi's work is mostly in Computer Science (69%), Agricultural and Biological Sciences (9%), Chemistry (4%).

Physical Sciences: 11 works · 73.3% of their workComputer Science: 10 works · 68.9% of their workInformation Systems: 4 works · 26.7% of their workArtificial Intelligence: 3 works · 22.2% of their workComputer Networks and Communications: 2 works · 11.1% of their workComputer Vision and Pattern Recognition: 1 works · 8.9% of their workChemistry: 1 works · 4.4% of their workAnalytical Chemistry: 1 works · 4.4% of their workEverything else: 3 works · 17.8% of their workLife Sciences: 1 works · 8.9% of their workAgricultural and Biological Sciences: 1 works · 8.9% of their workPlant Science: 1 works · 8.9% of their workTHEIR WORKHamidreza Koohi15works
Life Sciences9%Physical Sciences73%

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 Science1068.9%
    2. Chemistry14.4%
  2. Everything else317.8%
    1. Agricultural and Biological Sciences18.9%
  1. 1Information Systems27% of their works
  2. 2Artificial Intelligence22% of their works
  3. 3Computer Networks and Communications11% of their works
  4. 4Plant Science9% of their works
  5. 5Computer Vision and Pattern Recognition9% of their works
  6. 6Analytical Chemistry4% of their works

Research topics

Which keywords describe Hamidreza Koohi's research?

The keywords of their largest research topics: Deep Learning, Collaborative Filtering, Matrix Factorization, Clustering Algorithms, Environmental Monitoring, Wireless Sensor Networks, Graph Neural Networks and Knowledge Graph Embedding.

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 20 words, with their numbers
  1. Deep Learning153 topics
  2. Collaborative Filtering101 topic
  3. Matrix Factorization101 topic
  4. Clustering Algorithms42 topics
  5. Environmental Monitoring42 topics
  6. Wireless Sensor Networks42 topics
  7. Graph Neural Networks31 topic
  8. Knowledge Graph Embedding31 topic
  9. Caching21 topic
  10. Cluster Validation21 topic
  11. Energy-Efficient Protocols21 topic
  12. Gamma-Aminobutyric Acid21 topic
  13. Information-Centric Networking21 topic
  14. K-means21 topic
  15. Metabolism21 topic
  16. Multivariate Calibration21 topic
  17. Near-Infrared Spectroscopy21 topic
  18. Plant Disease Detection21 topic
  19. Routing Techniques21 topic
  20. Smart Farming21 topic

Where does Hamidreza Koohi work?

Hamidreza Koohi's main affiliation in the publication record is Shomal University, Iran.

How many publications and citations does Hamidreza Koohi have?

OpenAlex counts 15 works and 605 citations for Hamidreza Koohi, an h-index of 9, ranking #1,461,430 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 Hamidreza Koohi. Posts are plain text and can be reported.