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Researcher · Hebrew University of Jerusalem · Israel

Idan Segev

Idan Segev publishes mostly in Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering, on topics such as Neural dynamics and brain function, Neuroscience and Neuropharmacology Research and Neuroscience and Neural Engineering.

ORCID 0000-0001-7279-9630 OpenAlex
World rank
#77,551
of 7,710,434 ranked researchers
Rank in Israel
#669
of 38,292
Works
218
Citations
16k
Citations per work
73.4
h-index
65
i10-index 118Top 2.1% in Cellular and Molecular Neuroscience
Idan Segev

What does Idan Segev research?

Idan Segev's work is mostly in Neuroscience (67%), Engineering (10%), Biochemistry, Genetics and Molecular Biology (3%).

Life Sciences: 153 works · 70.3% of their workNeuroscience: 146 works · 66.9% of their workCellular and Molecular Neuroscience: 73 works · 33.7% of their workCognitive Neuroscience: 72 works · 33.2% of their workBiochemistry, Genetics and Molecular Biology: 7 works · 3.4% of their workMolecular Biology: 7 works · 3.4% of their workPhysical Sciences: 33 works · 15.3% of their workEngineering: 21 works · 9.5% of their workElectrical and Electronic Engineering: 21 works · 9.5% of their workComputer Science: 6 works · 2.9% of their workArtificial Intelligence: 6 works · 2.9% of their workPhysics and Astronomy: 6 works · 2.9% of their workStatistical and Nonlinear Physics: 6 works · 2.9% of their workEverything else: 31 works · 14.4% of their workTHEIR WORKIdan Segev218works
Life Sciences70%Physical Sciences15%

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. Neuroscience14666.9%
    2. Biochemistry, Genetics and Molecular Biology73.4%
    1. Engineering219.5%
    2. Computer Science62.9%
    3. Physics and Astronomy62.9%
  3. Everything else3114.4%
  1. 1Cellular and Molecular Neuroscience34% of their works
  2. 2Cognitive Neuroscience33% of their works
  3. 3Electrical and Electronic Engineering10% of their works
  4. 4Molecular Biology3% of their works
  5. 5Artificial Intelligence3% of their works
  6. 6Statistical and Nonlinear Physics3% of their works

Research topics

Which keywords describe Idan Segev's research?

The keywords of their largest research topics: Cortical Networks, Neuronal Oscillations, Synaptic Plasticity, Neuronal Circuits, GABAergic, Neurotransmission, Electrode Arrays and Neural Stimulation.

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 19 words, with their numbers
  1. Cortical Networks1541 topic
  2. Neuronal Oscillations1541 topic
  3. Synaptic Plasticity1332 topics
  4. Neuronal Circuits972 topics
  5. GABAergic821 topic
  6. Neurotransmission821 topic
  7. Electrode Arrays721 topic
  8. Neural Stimulation721 topic
  9. Neural Networks652 topics
  10. Memristor511 topic
  11. Neuromorphic Computing511 topic
  12. Channelrhodopsin171 topic
  13. Optogenetics171 topic
  14. Brownian Motors161 topic
  15. Stochastic Resonance161 topic
  16. Drosophila151 topic
  17. Neuroscience151 topic
  18. Backpropagation Learning141 topic
  19. Self-Organizing Maps141 topic

Where does Idan Segev work?

Idan Segev's main affiliation in the publication record is Hebrew University of Jerusalem, Israel.

How many publications and citations does Idan Segev have?

OpenAlex counts 218 works and 16,003 citations for Idan Segev, an h-index of 65, ranking #77,551 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.

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