Omar Ismail
Omar Ismail publishes mostly in Electrical and Electronic Engineering, Biomedical Engineering and Computational Theory and Mathematics, on topics such as Analog and Mixed-Signal Circuit Design, Advancements in Semiconductor Devices and Circuit Design and Low-power high-performance VLSI design.
- World rank
- #6,918,734 of 7,710,434 ranked researchers
- Rank in Germany
- #340,923 of 364,343
- Works
- 17
- Citations
- 38
- Citations per work
- 2.2
What does Omar Ismail research?
Omar Ismail's work is mostly in Engineering (63%), Computer Science (6%), Medicine (6%).
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
- Physical Sciences1373.8%
- Engineering1163.0%
- Computer Science16.5%
- Chemical Engineering14.3%
- Everything else315.4%
- Health Sciences16.5%
- Medicine16.5%
- Life Sciences14.3%
- Neuroscience14.3%
- 1Electrical and Electronic Engineering39% of their works
- 2Biomedical Engineering24% of their works
- 3Computational Theory and Mathematics6% of their works
- 4Cardiology and Cardiovascular Medicine6% of their works
- 5Bioengineering4% of their works
- 6Cellular and Molecular Neuroscience4% of their works
Research topics
- Analog and Mixed-Signal Circuit Design
- Advancements in Semiconductor Devices and Circuit Design
- Low-power high-performance VLSI design
- Neuroscience and Neural Engineering
- Analytical Chemistry and Sensors
- Neural Networks and Applications
- Sensor Technology and Measurement Systems
- Advanced Memory and Neural Computing
Which keywords describe Omar Ismail's research?
The keywords of their largest research topics: Low-Power, CMOS, Neural Recording, Neural Networks, Process Variation, Artificial Neural Networks, Approximate Computing and Nanowire Transistors.
- Smart Sensors
- Optical Sensors
- Neural Stimulation
- Ion-Selective Electrodes
- Electrode Arrays
- VLSI Circuits
- Nanowire Transistors
- Artificial Neural Networks
- Neural Networks
- CMOS
- Low-Power
- Neural Recording
- Process Variation
- Approximate Computing
- Tunnel Field-Effect Transistors
- Backpropagation Learning
- IEEE 1451
- Memristor
- Neuromorphic Computing
- Self-Organizing Maps
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
- Low-Power142 topics
- CMOS111 topic
- Neural Recording111 topic
- Neural Networks63 topics
- Process Variation62 topics
- Artificial Neural Networks42 topics
- Approximate Computing31 topic
- Nanowire Transistors31 topic
- Tunnel Field-Effect Transistors31 topic
- VLSI Circuits31 topic
- Backpropagation Learning21 topic
- Electrode Arrays21 topic
- IEEE 145121 topic
- Ion-Selective Electrodes21 topic
- Memristor21 topic
- Neural Stimulation21 topic
- Neuromorphic Computing21 topic
- Optical Sensors21 topic
- Self-Organizing Maps21 topic
- Smart Sensors21 topic
Where does Omar Ismail work?
Omar Ismail's main affiliation in the publication record is Universität Ulm, Germany.
How many publications and citations does Omar Ismail have?
OpenAlex counts 17 works and 38 citations for Omar Ismail, an h-index of 4, ranking #6,918,734 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.
Other researchers named Omar Ismail
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 Omar Ismail. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.