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Company · Irvine · United States

Docbot (United States)

docbot.aiROR OpenAlex
Research works
10
▼ 93% vs 2018-21
Citations
268
27.3 per fractional work
Top-10% rate
10.0%
all institutions 10.0%
Open access
37%
world 40%
International
7%
world 18%
Docbot (United States)

Not ranked overall: Docbot (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 Docbot (United States) work in?

In all years, 83% of research at Docbot (United States) is in Health Sciences, 15% in Physical Sciences. Its largest fields are Medicine (83%), Computer Science (11%), Engineering (4%). It does 2.1× the world's share of Health Sciences.

Health Sciences: 8 fractional works · 83.2% of its workMedicine: 8 fractional works · 83.2% of its workOncology: 4 fractional works · 39.3% of its workRadiology, Nuclear Medicine and Imaging: 3 fractional works · 33.7% of its workPulmonary and Respiratory Medicine: 1 fractional works · 5.5% of its workGastroenterology: 0 fractional works · 2.9% of its workSurgery: 0 fractional works · 1.7% of its workPhysical Sciences: 1 fractional works · 15.0% of its workComputer Science: 1 fractional works · 11.1% of its workArtificial Intelligence: 1 fractional works · 10.0% of its workComputer Vision and Pattern Recognition: 0 fractional works · 1.1% of its workEngineering: 0 fractional works · 4.0% of its workBiomedical Engineering: 0 fractional works · 1.7% of its workAerospace Engineering: 0 fractional works · 1.1% of its workControl and Systems Engineering: 0 fractional works · 1.1% of its workLife Sciences: 0 fractional works · 1.7% of its workBiochemistry, Genetics and Molecular Biology: 0 fractional works · 1.7% of its workGenetics: 0 fractional works · 1.7% of its workALL ITS WORKDocbot (UnitedStates)10fractional works, all years
Life Sciences2%Physical Sciences15%Health Sciences83%

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 3 domains and 4 fields, with their numbers
    1. Medicine883.2%
    1. Computer Science111.1%
    2. Engineering04.0%
    1. Biochemistry, Genetics and Molecular Biology01.7%
All of science, and how each field's share has moved since 1950: the Science domain explorer

Who are the top researchers at Docbot (United States)?

Ranked on the quality score, James Requa, Tyler Dao and Andrew Q. Ninh lead among researchers whose main affiliation is Docbot (United States).

  1. 1 James Requa United States · #1,316,596 worldwide 632 citations · 33 works
  2. 2 Tyler Dao United States · #1,568,654 worldwide 568 citations · 24 works
  3. 3 Andrew Q. Ninh United States · #1,821,203 worldwide 640 citations · 35 works
All ranked researchers at Docbot (United States)

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

The most cited paper from Docbot (United States) is "Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett’s esophagus (with video)" (Rintaro Hashimoto, James Requa, Tyler Dao et al., 2020), with 233 citations. Next come "Central Reading of Ulcerative Colitis Clinical Trial Videos Using Neural Networks" (138) and "Prediction of Polyp Pathology Using Convolutional Neural Networks Achieves “Resect and Discard” Thresholds" (123).

Most cited papers
#PaperReleasedCitations
1 Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett’s esophagus (with video) Rintaro Hashimoto, James Requa, Tyler Dao et al. · Gastrointestinal Endoscopy 10 Jan 2020 233
2 Central Reading of Ulcerative Colitis Clinical Trial Videos Using Neural Networks Klaus T. Gottlieb, James Requa, William E. Karnes et al. · Gastroenterology Open access 21 Oct 2020 138
3 Prediction of Polyp Pathology Using Convolutional Neural Networks Achieves “Resect and Discard” Thresholds Robin Zachariah, Jason Samarasena, Daniel G. Luba et al. · The American Journal of Gastroenterology Open access 23 Oct 2019 123
4 Artificial intelligence for the assessment of bowel preparation Ji Young Lee, Audrey H. Calderwood, William E. Karnes et al. · Gastrointestinal Endoscopy 8 Dec 2021 50
5 Proceedings from the First Global Artificial Intelligence in Gastroenterology and Endoscopy Summit Sravanthi Parasa et al. · Gastrointestinal Endoscopy 27 Apr 2020 45
All 13 most cited papers, with filters and sorting

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

By volume in 2022-now: Colorectal Cancer Screening and Detection.

  1. 1 Colorectal Cancer Screening and Detection Oncology 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 available36.9%not open63.1%

World: 40% of research is openly available.

with international co-authors6.6%domestic only93.4%

World: 18% is written across borders.

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

Output in 2022-2025 was 93% lower than in 2018-2021.

2020
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 Irvine

All research institutions in Irvine

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

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