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Researcher · Intel (United States) · United States

Nesreen K. Ahmed

Nesreen K. Ahmed publishes mostly in Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, on topics such as Advanced Graph Neural Networks, Complex Network Analysis Techniques and Topic Modeling.

ORCID 0000-0002-7913-4962 OpenAlex
World rank
#158,429
of 7,710,434 ranked researchers
Rank in United States
#59,625
of 1,627,098
Works
207
Citations
8.3k
Citations per work
40.1
h-index
34
i10-index 65Top 3.4% in Artificial Intelligence
Nesreen K. Ahmed

What does Nesreen K. Ahmed research?

Nesreen K. Ahmed's work is mostly in Computer Science (55%), Physics and Astronomy (15%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 145 works · 70.2% of their workComputer Science: 114 works · 55.0% of their workArtificial Intelligence: 74 works · 35.9% of their workComputer Vision and Pattern Recognition: 20 works · 9.5% of their workComputer Networks and Communications: 10 works · 4.8% of their workInformation Systems: 10 works · 4.8% of their workPhysics and Astronomy: 31 works · 15.2% of their workStatistical and Nonlinear Physics: 31 works · 15.2% of their workEverything else: 54 works · 25.9% of their workLife Sciences: 8 works · 3.9% of their workBiochemistry, Genetics and Molecular Biology: 8 works · 3.9% of their workMolecular Biology: 8 works · 3.9% of their workTHEIR WORKNesreen K. Ahmed207works
Life Sciences4%Physical Sciences70%

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 Science11455.0%
    2. Physics and Astronomy3115.2%
  2. Everything else5425.9%
    1. Biochemistry, Genetics and Molecular Biology83.9%
  1. 1Artificial Intelligence36% of their works
  2. 2Statistical and Nonlinear Physics15% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Information Systems5% of their works
  5. 5Computer Networks and Communications5% of their works
  6. 6Molecular Biology4% of their works

Research topics

Which keywords describe Nesreen K. Ahmed's research?

The keywords of their largest research topics: Graph Neural Networks, Knowledge Graph Embedding, Community Structure, Network Dynamics, Neural Networks, Word Representation, Graph Matching and Graph Processing.

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 16 words, with their numbers
  1. Graph Neural Networks861 topic
  2. Knowledge Graph Embedding861 topic
  3. Community Structure791 topic
  4. Network Dynamics791 topic
  5. Neural Networks271 topic
  6. Word Representation271 topic
  7. Graph Matching221 topic
  8. Graph Processing221 topic
  9. Neural Machine Translation181 topic
  10. Statistical Machine Translation181 topic
  11. Information Visualization171 topic
  12. Visual Analytics171 topic
  13. Parallel Computing151 topic
  14. Performance Optimization151 topic
  15. Gene Set Enrichment Analysis141 topic
  16. Protein-Protein Interaction Networks141 topic

Where does Nesreen K. Ahmed work?

Nesreen K. Ahmed's main affiliation in the publication record is Intel (United States), United States.

How many publications and citations does Nesreen K. Ahmed have?

OpenAlex counts 207 works and 8,297 citations for Nesreen K. Ahmed, an h-index of 34, ranking #158,429 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.

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