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Researcher · Federation University · Australia

Mehdi Naseriparsa

Mehdi Naseriparsa publishes mostly in Artificial Intelligence, Signal Processing and Computer Networks and Communications, on topics such as Data Management and Algorithms, Topic Modeling and Semantic Web and Ontologies.

ORCID 0000-0001-9230-1625 OpenAlex
World rank
#1,473,827
of 7,710,434 ranked researchers
Rank in Australia
#45,568
of 140,210
Works
23
Citations
1k
Citations per work
44.0
h-index
8
i10-index 8Top 56% in Artificial Intelligence
Mehdi Naseriparsa

What does Mehdi Naseriparsa research?

Mehdi Naseriparsa's work is mostly in Computer Science (71%), Psychology (11%).

Physical Sciences: 16 works · 71.2% of their workComputer Science: 16 works · 71.2% of their workArtificial Intelligence: 11 works · 48.5% of their workSignal Processing: 2 works · 10.6% of their workComputer Networks and Communications: 2 works · 7.6% of their workInformation Systems: 1 works · 4.5% of their workEverything else: 4 works · 18.2% of their workSocial Sciences: 2 works · 10.6% of their workPsychology: 2 works · 10.6% of their workSocial Psychology: 1 works · 6.1% of their workExperimental and Cognitive Psychology: 1 works · 4.5% of their workTHEIR WORKMehdi Naseriparsa23works
Physical Sciences71%Social Sciences11%

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 Science1671.2%
  2. Everything else418.2%
    1. Psychology210.6%
  1. 1Artificial Intelligence48% of their works
  2. 2Signal Processing11% of their works
  3. 3Computer Networks and Communications8% of their works
  4. 4Social Psychology6% of their works
  5. 5Information Systems4% of their works
  6. 6Experimental and Cognitive Psychology4% of their works

Research topics

Which keywords describe Mehdi Naseriparsa's research?

The keywords of their largest research topics: Deep Learning, Information Retrieval, Text Classification, GPS Trajectories, Trajectory Data Mining, Continuous Queries, Data Stream Management and Graph Neural Networks.

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 19 words, with their numbers
  1. Deep Learning72 topics
  2. Information Retrieval72 topics
  3. Text Classification72 topics
  4. GPS Trajectories61 topic
  5. Trajectory Data Mining61 topic
  6. Continuous Queries41 topic
  7. Data Stream Management41 topic
  8. Graph Neural Networks41 topic
  9. Knowledge Graph Embedding41 topic
  10. Neural Networks41 topic
  11. Ontology41 topic
  12. Semantic Web41 topic
  13. Word Representation41 topic
  14. Classification31 topic
  15. Feature Selection31 topic
  16. Imbalanced Data31 topic
  17. Multi-label Learning31 topic
  18. Opinion Mining31 topic
  19. Sentiment Analysis31 topic

Where does Mehdi Naseriparsa work?

Mehdi Naseriparsa's main affiliation in the publication record is Federation University, Australia.

How many publications and citations does Mehdi Naseriparsa have?

OpenAlex counts 23 works and 1,012 citations for Mehdi Naseriparsa, an h-index of 8, ranking #1,473,827 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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