Science Explorer Back to mapMap
Discussion
Researcher · University of Skikda · Algeria

Salim Heddam

Salim Heddam publishes mostly in Environmental Engineering, Water Science and Technology and Artificial Intelligence, on topics such as Hydrological Forecasting Using AI, Water Quality Monitoring Technologies and Hydrology and Watershed Management Studies.

ORCID 0000-0002-8055-8463 OpenAlex
World rank
#69,697
of 7,710,434 ranked researchers
Rank in Algeria
#18
of 10,068
Works
247
Citations
7.2k
Citations per work
29.1
h-index
49
i10-index 147Top 2.2% in Environmental Engineering
Salim Heddam

What does Salim Heddam research?

Salim Heddam's work is mostly in Environmental Science (53%), Computer Science (12%), Engineering (10%).

Physical Sciences: 185 works · 74.9% of their workEnvironmental Science: 130 works · 52.5% of their workEnvironmental Engineering: 63 works · 25.7% of their workWater Science and Technology: 44 works · 18.0% of their workGlobal and Planetary Change: 22 works · 8.8% of their workComputer Science: 30 works · 12.0% of their workArtificial Intelligence: 30 works · 12.0% of their workEngineering: 26 works · 10.4% of their workElectrical and Electronic Engineering: 14 works · 5.5% of their workCivil and Structural Engineering: 12 works · 4.9% of their workEverything else: 62 works · 25.1% of their workTHEIR WORKSalim Heddam247works
Physical Sciences75%

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. Environmental Science13052.5%
    2. Computer Science3012.0%
    3. Engineering2610.4%
  2. Everything else6225.1%
  1. 1Environmental Engineering26% of their works
  2. 2Water Science and Technology18% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Global and Planetary Change9% of their works
  5. 5Electrical and Electronic Engineering6% of their works
  6. 6Civil and Structural Engineering5% of their works

Research topics

Which keywords describe Salim Heddam's research?

The keywords of their largest research topics: Water Resources, Artificial Neural Networks, Machine Learning, Forecasting, Hydrology, Neural Networks, Remote Sensing and Climate Change.

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 24 words, with their numbers
  1. Water Resources1942 topics
  2. Artificial Neural Networks1722 topics
  3. Machine Learning1722 topics
  4. Forecasting1501 topic
  5. Hydrology1501 topic
  6. Neural Networks923 topics
  7. Remote Sensing852 topics
  8. Climate Change652 topics
  9. Hydrological Modeling652 topics
  10. Aquaculture641 topic
  11. Water Quality Monitoring641 topic
  12. Deep Learning582 topics
  13. Global Hydrology441 topic
  14. Model Evaluation441 topic
  15. Electricity Price Forecasting361 topic
  16. Load Forecasting361 topic
  17. Extreme Learning Machine341 topic
  18. Feedforward Networks341 topic
  19. Backpropagation Learning221 topic
  20. Monitoring221 topic
  21. Self-Organizing Maps221 topic
  22. Wastewater221 topic
  23. Flood Risk211 topic
  24. Surface Water Mapping211 topic

Where does Salim Heddam work?

Salim Heddam's main affiliation in the publication record is University of Skikda, Algeria.

How many publications and citations does Salim Heddam have?

OpenAlex counts 247 works and 7,180 citations for Salim Heddam, an h-index of 49, ranking #69,697 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 Salim Heddam. Posts are plain text and can be reported.