Kevin L. Baum
Kevin L. Baum publishes mostly in Electrical and Electronic Engineering, Safety Research and Artificial Intelligence, on topics such as Ethics and Social Impacts of AI, Advanced Wireless Communication Techniques and Wireless Communication Networks Research.
- World rank
- #548,059 of 7,710,434 ranked researchers
- Rank in United States
- #189,451 of 1,627,098
- Works
- 82
- Citations
- 2.2k
- Citations per work
- 26.8
What does Kevin L. Baum research?
Kevin L. Baum's work is mostly in Engineering (37%), Computer Science (27%), Social Sciences (17%).
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 Sciences5364.3%
- Engineering3137.2%
- Computer Science2227.1%
- Social Sciences1720.3%
- Social Sciences1417.5%
- Psychology22.8%
- Everything else1315.4%
- 1Electrical and Electronic Engineering37% of their works
- 2Safety Research15% of their works
- 3Artificial Intelligence14% of their works
- 4Computer Networks and Communications13% of their works
- 5Sociology and Political Science3% of their works
- 6Social Psychology3% of their works
Research topics
Which keywords describe Kevin L. Baum's research?
The keywords of their largest research topics: Power Control, Resource Allocation, Machine Learning, Channel Estimation, Ethics, Fairness, Spectral Efficiency and MIMO-OFDM.
- Adversarial Examples
- Multicarrier Transmission
- Interpretable Models
- Cross-Layer Optimization
- Cellular Networks
- CDMA Systems
- MIMO-OFDM
- Fairness
- Channel Estimation
- Resource Allocation
- Power Control
- Machine Learning
- Ethics
- Spectral Efficiency
- Space-Time Coding
- Wireless Networks
- Massive MIMO
- Wireless Communication
- Machine Learning Interpretability
- OFDM
- Deep Learning
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 21 words, with their numbers
- Power Control412 topics
- Resource Allocation412 topics
- Machine Learning402 topics
- Channel Estimation382 topics
- Ethics311 topic
- Fairness311 topic
- Spectral Efficiency292 topics
- MIMO-OFDM271 topic
- Space-Time Coding271 topic
- CDMA Systems241 topic
- Wireless Networks241 topic
- Cellular Networks181 topic
- Massive MIMO181 topic
- Cross-Layer Optimization171 topic
- Wireless Communication171 topic
- Interpretable Models161 topic
- Machine Learning Interpretability161 topic
- Multicarrier Transmission111 topic
- OFDM111 topic
- Adversarial Examples91 topic
- Deep Learning91 topic
Where does Kevin L. Baum work?
Kevin L. Baum's main affiliation in the publication record is Motorola (United States), United States.
How many publications and citations does Kevin L. Baum have?
OpenAlex counts 82 works and 2,199 citations for Kevin L. Baum, an h-index of 20, ranking #548,059 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
Ask a question or share a note about Kevin L. Baum. 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.