The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Robert Lee Angell sits on this spectrum.
This scientist: 83 publications — 4th percentile
4% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Robert Lee Angell sits on this spectrum.
This scientist: 36 D-Index — 13th percentile
13% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Robert Lee Angell focuses on Set, Marketing, Customer reference program, Customer intelligence and Cohort. His Set study spans across into areas like Data mining, USable, Computer program and Artificial intelligence. His Data mining research incorporates themes from Object, Digital video, Video based and Set.
While the research belongs to areas of Customer reference program, Robert Lee Angell spends his time largely on the problem of Voice of the customer, intersecting his research to questions surrounding Conversion marketing. His Cohort research is multidisciplinary, incorporating elements of Event, Metadata and Pattern recognition. The various areas that Robert Lee Angell examines in his Metadata study include Respiratory system and Emergency medicine.
Robert Lee Angell mainly investigates Set, Data mining, Metadata, Cohort and USable. His Set study overlaps with Computer program, Product, Marketing, Personalized marketing and Artificial intelligence. His study brings together the fields of Event and Data mining.
His Metadata research also works with subjects such as
His scientific interests lie mostly in Set, Data mining, Cohort, Computer program and Metadata. Set is intertwined with Product, Artificial intelligence, Medical literature, Analytics and Medical physics in his research. His studies in Artificial intelligence integrate themes in fields like Digital video, Computer vision and Pattern recognition.
His studies deal with areas such as Event and Biometrics as well as Data mining. His study in Cohort is interdisciplinary in nature, drawing from both Inference engine and Risk assessment. His work carried out in the field of Metadata brings together such families of science as Digital sensors, Program code, Respiratory system and Emergency medicine.
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;Robert R. Friedlander;James R. Kraemer
Robert Lee Angell;Robert R. Friedlander;James R. Kraemer
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;Robert R. Friedlander;James R. Kraemer
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;Sergio Borger;Robert R. Friedlander;James R. Kraemer
Robert Lee Angell;Robert R. Friedlander;James R. Kraemer
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;James R. Kraemer
Robert Lee Angell;James R. Kraemer
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