Daniel Lam
Daniel Lam publishes mostly in Astronomy and Astrophysics, Instrumentation and Artificial Intelligence, on topics such as Galaxies: Formation, Evolution, Phenomena, Astronomy and Astrophysical Research and Gamma-ray bursts and supernovae.
- World rank
- #886,062 of 7,710,434 ranked researchers
- Rank in Netherlands
- #20,906 of 107,149
- Works
- 33
- Citations
- 1.2k
- Citations per work
- 36.8
What does Daniel Lam research?
Daniel Lam's work is mostly in Physics and Astronomy (70%), Computer Science (7%), Engineering (3%).
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 Sciences2680.3%
- Physics and Astronomy2370.4%
- Computer Science26.6%
- Engineering13.3%
- Everything else719.7%
- 1Astronomy and Astrophysics45% of their works
- 2Instrumentation16% of their works
- 3Artificial Intelligence7% of their works
- 4Nuclear and High Energy Physics6% of their works
- 5Atomic and Molecular Physics, and Optics3% of their works
- 6Control and Systems Engineering3% of their works
Research topics
Which keywords describe Daniel Lam's research?
The keywords of their largest research topics: Black Holes, Cosmology, Galaxies, Astronomical Instrumentation, Spectrograph, Gamma-Ray Bursts, Supernovae and Accretion Disks.
- Reinforcement Learning
- Wavefront Sensing
- Grasping
- X-Ray Astronomy
- Exoplanets
- Accretion Disks
- Gamma-Ray Bursts
- Astronomical Instrumentation
- Cosmology
- Black Holes
- Galaxies
- Spectrograph
- Supernovae
- Deep Learning
- Stellar Astrophysics
- Adaptive Optics
- Robot Learning
- 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.
All 18 words, with their numbers
- Black Holes232 topics
- Cosmology181 topic
- Galaxies181 topic
- Astronomical Instrumentation151 topic
- Spectrograph151 topic
- Gamma-Ray Bursts101 topic
- Supernovae101 topic
- Accretion Disks51 topic
- Deep Learning52 topics
- Exoplanets51 topic
- Stellar Astrophysics51 topic
- X-Ray Astronomy51 topic
- Adaptive Optics31 topic
- Grasping31 topic
- Robot Learning31 topic
- Wavefront Sensing31 topic
- Neural Networks21 topic
- Reinforcement Learning21 topic
Where does Daniel Lam work?
Daniel Lam's main affiliation in the publication record is Leiden University, Netherlands.
How many publications and citations does Daniel Lam have?
OpenAlex counts 33 works and 1,214 citations for Daniel Lam, an h-index of 16, ranking #886,062 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.
Other researchers named Daniel Lam
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 Daniel Lam. Posts are plain text and can be reported.