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Engineering Systems (United States)

InstitutionResearch output, impact & collaborations

Engineering Systems (United States) is a institution indexed in ScholarIQ from OpenAlex.

What is known about Engineering Systems (United States)?

ScholarIQrecord summary

Engineering Systems (United States) is a research organisation in Omaha, US. OpenAlex records 11,232 works and 477,191 citations for it. 1,778 researchers list it as their most recent affiliation.

How many works does Engineering Systems (United States) have?

ScholarIQindexed works

Engineering Systems (United States) has 11,232 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Engineering Systems (United States) have?

ScholarIQcitation count

Engineering Systems (United States) has 477,191 citations in the OpenAlex counts ScholarIQ stores.

How many researchers are at Engineering Systems (United States)?

ScholarIQresearcher count

Engineering Systems (United States) has 1,778 researchers in the ScholarIQ index.

What is the average h-index at Engineering Systems (United States)?

ScholarIQavg h-index

Engineering Systems (United States) has an average h-index of 37.7 in OpenAlex.

What is the ROR of Engineering Systems (United States)?

ScholarIQror

The ROR for Engineering Systems (United States) is on the source record.

What is the OpenAlex record for Engineering Systems (United States)?

ScholarIQopenalex

The OpenAlex for Engineering Systems (United States) is on the source record.

Who are the most-cited researchers behind Engineering Systems (United States)?

ScholarIQtop researchers by citations
1
Christos G. Cassandras · Traffic control and management
695 works18,617 citations
2
Vijay K. Gurbani · IPv6, Mobility, Handover, Networks, Security
147 works17,571 citations
3
Laura E. Barnes · Digital Mental Health Interventions
278 works4,513 citations

What are the most-cited papers on Engineering Systems (United States)?

ScholarIQmost cited works
HDLTex: Hierarchical Deep Learning for Text Classification
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes
2017450 CitationsOPEN ACCESS
Using Mobile Sensing to Test Clinical Models of Depression, Social Anxiety, State Affect, and Social Isolation Among College Students
Philip I. Chow, Karl Fua, Yu Huang, Wesley Paul Bonelli, Haoyi Xiong, Laura E. Barnes, Bethany A. Teachman
Journal of Medical Internet Research. 2017193 CitationsOPEN ACCESS
<italic>iCrowd</italic>: Near-Optimal Task Allocation for Piggyback Crowdsensing
Haoyi Xiong, Daqing Zhang, Guanling Chen, Leye Wang, Vincent Gauthier, Laura E. Barnes
IEEE Transactions on Mobile Computing. 2015177 Citations
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Jinghe Zhang, Kamran Kowsari, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes
IEEE Access. 2018177 CitationsOPEN ACCESS
The Urban Built Environment, Walking and Mental Health Outcomes Among Older Adults: A Pilot Study
Jenny Roe, Andrew Mondschein, Chris Neale, Laura E. Barnes, Medhi Boukhechba, Stephanie López
Frontiers in Public Health. 2020137 CitationsOPEN ACCESS

How much of the research on Engineering Systems (United States) is open access?

ScholarIQopen access share
64%OPEN ACCESS
Gold
45%
Green
18%
Hybrid
0%
Bronze
0%
Closed
36%

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