Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-09-26
A
Abiodun Quadri
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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1 h-index
2 pubs
1 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Abiodun Quadri is a graduate student at the University of Arkansas at Little Rock whose research encompasses customer churn and segmentation strategies. Quadri's work also delves into data mining algorithms, applications, consumer market behavior, and pricing models. Actively publishing as recently as 2025, Quadri's focus lies in the intersection of data analysis and consumer behavior.
Metrics
- h-index: 1
- Publications: 2
- Citations: 1
Selected Publications
-
Multiple myeloma and prostate cancer incidence, risk factors and survival rate: A review approach (2026)
-
Tracking Narrative Dynamics Using Churn Management on Social Networks (2025)
Collaboration Network
Top Collaborators
Ahmed Al‐Taweel
University of Arkansas at Little Rock
1 shared publication
In database
- Tracking Narrative Dynamics Using Churn Management on Social Networks
Nitin Agarwal
University of Arkansas at Little Rock
1 shared publication
In database
- Tracking Narrative Dynamics Using Churn Management on Social Networks
Racheal Kikachukwu Ogan
University of Arkansas at Little Rock
1 shared publication
In database
- Multiple myeloma and prostate cancer incidence, risk factors and survival rate: A review approach
Oyekemi Oyetoro
University of Arkansas at Little Rock
1 shared publication
In database
- Multiple myeloma and prostate cancer incidence, risk factors and survival rate: A review approach
Omotolani Jimoh
University of Arkansas at Little Rock
1 shared publication
In database
- Multiple myeloma and prostate cancer incidence, risk factors and survival rate: A review approach
Paul Owhenagbo Alemoh
University of Arkansas at Little Rock
1 shared publication
In database
- Multiple myeloma and prostate cancer incidence, risk factors and survival rate: A review approach