Science Explorer Back to mapMap
Discussion
Company · Mountain View · United States

PerceptiMed (United States)

perceptimed.comROR OpenAlex
Research works
9
▼ 88% vs 2018-21
Citations
18
2.1 per fractional work
Top-10% rate
28.0%
all institutions 10.0%
Open access
13%
world 40%
International
52%
world 18%
PerceptiMed (United States)

Not ranked overall: PerceptiMed (United States) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

Which fields of science does PerceptiMed (United States) work in?

In all years, 84% of research at PerceptiMed (United States) is in Physical Sciences, 8% in Life Sciences. Its largest fields are Computer Science (50%), Engineering (33%), Biochemistry, Genetics and Molecular Biology (8%). It does 1.6× the world's share of Physical Sciences.

Physical Sciences: 7 fractional works · 83.7% of its workComputer Science: 4 fractional works · 50.3% of its workComputer Vision and Pattern Recognition: 2 fractional works · 24.3% of its workHardware and Architecture: 1 fractional works · 11.5% of its workArtificial Intelligence: 0 fractional works · 5.8% of its workComputational Theory and Mathematics: 0 fractional works · 4.5% of its workComputer Networks and Communications: 0 fractional works · 1.6% of its workComputer Science Applications: 0 fractional works · 1.3% of its workInformation Systems: 0 fractional works · 1.3% of its workEngineering: 3 fractional works · 33.4% of its workAutomotive Engineering: 1 fractional works · 10.3% of its workIndustrial and Manufacturing Engineering: 1 fractional works · 7.0% of its workAerospace Engineering: 0 fractional works · 5.5% of its workElectrical and Electronic Engineering: 0 fractional works · 4.5% of its workMechanical Engineering: 0 fractional works · 4.2% of its workControl and Systems Engineering: 0 fractional works · 1.3% of its workBiomedical Engineering: 0 fractional works · 0.7% of its workLife Sciences: 1 fractional works · 8.1% of its workBiochemistry, Genetics and Molecular Biology: 1 fractional works · 8.1% of its workGenetics: 0 fractional works · 4.0% of its workMolecular Biology: 0 fractional works · 4.0% of its workHealth Sciences: 0 fractional works · 4.4% of its workMedicine: 0 fractional works · 4.4% of its workSurgery: 0 fractional works · 3.8% of its workSmaller subfields together: 0 fractional works · 0.6% of its workSocial Sciences: 0 fractional works · 3.8% of its workArts and Humanities: 0 fractional works · 2.5% of its workHistory: 0 fractional works · 1.3% of its workHistory and Philosophy of Science: 0 fractional works · 1.3% of its workSocial Sciences: 0 fractional works · 1.3% of its workPolitical Science and International Relations: 0 fractional works · 1.3% of its workALL ITS WORKPerceptiMed(United States)9fractional works, all years
Life Sciences8%Physical Sciences84%Health Sciences4%Social Sciences4%

Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in all years. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.

Its 4 domains and 6 fields, with their numbers
    1. Computer Science450.3%
    2. Engineering333.4%
    1. Biochemistry, Genetics and Molecular Biology18.1%
    1. Medicine04.4%
    1. Arts and Humanities02.5%
    2. Social Sciences01.3%
All of science, and how each field's share has moved since 1950: the Science domain explorer

Field profile

Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.

What are the most cited papers from PerceptiMed (United States)?

The most cited paper from PerceptiMed (United States) is "Communication Challenges in Infrastructure-Vehicle Cooperative Autonomous Driving: A Field Deployment Perspective" (Shaoshan Liu, Bo Yu, Jie Tang et al., 2022), with 38 citations. Next come "An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems" (33) and "Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System" (12).

Most cited papers
#PaperReleasedCitations
1 Communication Challenges in Infrastructure-Vehicle Cooperative Autonomous Driving: A Field Deployment Perspective Shaoshan Liu, Bo Yu, Jie Tang et al. · IEEE Wireless Communications 5 May 2022 38
2 An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems Qiang Liu, Zishen Wan, Bo Nancy Yu et al. · 2022 IEEE Custom Integrated Circuits Conference (CICC) Conference paper Apr 2022 33
3 Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System Shaoshan Liu, Jianda Wang, Zhendong Wang et al. Conference paper May 2022 12
4 Robotic Computing on FPGAs Shaoshan Liu, Zishen Wan, Yu Bo et al. · Synthesis lectures on computer architecture 29 Jun 2021 10
5 Cloud and Edge Computing for Connected and Automated Vehicles Qi Zhu, Yu Bo, Ziran Wang et al. · Foundations and Trends® in Electronic Design Automation 11 Dec 2023 4
All 27 most cited papers, with filters and sorting

Which research topics does PerceptiMed (United States) publish most on?

By volume in 2022-now: Wireless Body Area Networks, Robotic Path Planning Algorithms, Formal Methods in Verification and Advanced Image and Video Retrieval Techniques.

Wireless Body Area Networks: 0 fractional worksRobotic Path Planning Algorithms: 0 fractional worksFormal Methods in Verifi…0Formal Methods in Verification: 0 fractional worksAdvanced Image and Video Retrieval Techniques: 0 fractional worksEmbedded Systems Design Techniques: 0 fractional worksVehicular Ad Hoc Networks (VANETs): 0 fractional worksReal-Time Systems Scheduling: 0 fractional worksPrivacy-Preserving Techn…0Privacy-Preserving Technologies in Data: 0 fractional worksIoT and Edge/Fog Computing: 0 fractional worksRobotics and Sensor-Based Localization: 0 fractional works
Biomedical EngineeringComputer Vision and Pattern RecognitionComputational Theory and MathematicsHardware and Architecture4 others

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Wireless Body Area Networks Biomedical Engineering 0 works
  2. 2 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 0 works
  3. 3 Formal Methods in Verification Computational Theory and Mathematics 0 works
  4. 4 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 0 works
  5. 5 Embedded Systems Design Techniques Hardware and Architecture 0 works
  6. 6 Vehicular Ad Hoc Networks (VANETs) Electrical and Electronic Engineering 0 works
  7. 7 Real-Time Systems Scheduling Hardware and Architecture 0 works
  8. 8 Privacy-Preserving Technologies in Data Artificial Intelligence 0 works
  9. 9 IoT and Edge/Fog Computing Computer Networks and Communications 0 works
  10. 10 Robotics and Sensor-Based Localization Aerospace Engineering 0 works

How open and international is its research?

Against the world's own shares: the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

openly available12.8%not open87.2%

World: 40% of research is openly available.

with international co-authors52.1%domestic only47.9%

World: 18% is written across borders.

How has PerceptiMed (United States)'s research output changed?

Output in 2022-2025 was 88% lower than in 2018-2021.

still counting2010201520202025
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Other research institutions in Mountain View

All research institutions in Mountain View

Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.

Discussion

Ask a question or share a note about PerceptiMed (United States). Posts are plain text and can be reported.