Noam Siegelman
Noam Siegelman publishes mostly in Developmental and Educational Psychology, Cognitive Neuroscience and Artificial Intelligence, on topics such as Reading and Literacy Development, Neurobiology of Language and Bilingualism and Text Readability and Simplification.
- World rank
- #141,725 of 7,710,434 ranked researchers
- Rank in Israel
- #1,123 of 38,292
- Works
- 80
- Citations
- 3k
- Citations per work
- 37.2
What does Noam Siegelman research?
Noam Siegelman's work is mostly in Psychology (40%), Computer Science (18%), Neuroscience (16%).
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
- Social Sciences3239.5%
- Psychology3239.5%
- Physical Sciences1924.3%
- Computer Science1418.0%
- Mathematics56.3%
- Everything else1620.1%
- Life Sciences1316.1%
- Neuroscience1316.1%
- 1Developmental and Educational Psychology34% of their works
- 2Cognitive Neuroscience16% of their works
- 3Artificial Intelligence15% of their works
- 4Statistics and Probability6% of their works
- 5Experimental and Cognitive Psychology5% of their works
- 6Signal Processing3% of their works
Research topics
- Reading and Literacy Development
- Neurobiology of Language and Bilingualism
- Text Readability and Simplification
- Language Development and Disorders
- Second Language Acquisition and Learning
- Neural Networks and Applications
- Cognitive and developmental aspects of mathematical skills
- Statistics Education and Methodologies
Which keywords describe Noam Siegelman's research?
The keywords of their largest research topics: Language Development, Reading Comprehension, Dyslexia, Reading Acquisition, Bilingualism, Neural Networks, Language Processing and Semantic Memory.
- Statistics Anxiety
- Self-Organizing Maps
- Mathematical Achievement
- Vocabulary Acquisition
- Statistical Learning
- Text Simplification
- Semantic Memory
- Neural Networks
- Reading Acquisition
- Reading Comprehension
- Language Development
- Dyslexia
- Bilingualism
- Language Processing
- Readability Assessment
- Speech and Language Disorder
- Second Language Learning
- Backpropagation Learning
- Numerical Cognition
- Data Science
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 20 words, with their numbers
- Language Development482 topics
- Reading Comprehension472 topics
- Dyslexia351 topic
- Reading Acquisition351 topic
- Bilingualism312 topics
- Neural Networks222 topics
- Language Processing181 topic
- Semantic Memory181 topic
- Readability Assessment141 topic
- Text Simplification141 topic
- Speech and Language Disorder131 topic
- Statistical Learning131 topic
- Second Language Learning121 topic
- Vocabulary Acquisition121 topic
- Backpropagation Learning81 topic
- Mathematical Achievement81 topic
- Numerical Cognition81 topic
- Self-Organizing Maps81 topic
- Data Science51 topic
- Statistics Anxiety51 topic
Where does Noam Siegelman work?
Noam Siegelman's main affiliation in the publication record is Hebrew University of Jerusalem, Israel.
How many publications and citations does Noam Siegelman have?
OpenAlex counts 80 works and 2,978 citations for Noam Siegelman, an h-index of 22, ranking #141,725 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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