Samson Agboola

1.6k citations
9 papers · 1.1k · 1 hit paper · h-index 3

Impact in

Papers in

Samson Agboola

7 papers receiving 1.1k citations

Samson Agboola's Hit Papers

Variance Inflation Factor: As a Condition for the Inclusion of Suppressor Variable(s) in Regression Analysis 2015 · 1.1k citations
1.1k0+3+7Years since publication2505007501000

Peers

Samson Agboola
Comparison fields: 5 of 166
  • Ecological Modeling 47
  • Nature and Landscape Conservation 81
  • Marketing 48
  • Ecology 127
  • Global and Planetary Change 100
Replace Hussaini Garba Dikko with:
Hussaini Garba Dikko Nigeria
James G. Surles United States
Mariano Ruiz Espejo Spain
Alexandra Collins United Kingdom
Deborah Coughlin United Kingdom
Bradley S. Price United States
Herman F. Senter United States
Bailey K. Fosdick United States
Christopher Glen Thompson United States
Lonnie Magee Canada
Samson Agboola relative to Hussaini Garba Dikko Nigeria Hussaini Garba Dikko's profile →
Citations per field
00.5×1.5×
Hussaini Garba Dikko · 1×
Citations per year

Countries citing papers authored by Samson Agboola

Since Specialization
Citations

This map shows the geographic impact of Samson Agboola's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Samson Agboola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samson Agboola more than expected).

Fields of papers citing papers by Samson Agboola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samson Agboola. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Samson Agboola. The network helps show where Samson Agboola may publish in the future.

Co-authors

The 3 scholars most cited alongside Samson Agboola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samson Agboola Line = papers co-authored together Samson Agboola links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Variance Inflation Factor: As a Condition for the Inclusion of Suppressor Variable(s) in Regression Analysis
Hit paper breakdown →
20151102
2 20198
3 20175
4 20172
5 20171
6 20241
7 20171
8 20180
9 20240

About Samson Agboola

Samson Agboola is a scholar working on Family Practice, Statistics and Probability, Economics and Econometrics, General Health Professions and Information Systems, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (2 papers), Mobile Health and mHealth Applications (2 papers), Medication Adherence and Compliance (2 papers), Complex Systems and Time Series Analysis (1 paper), Financial Risk and Volatility Modeling (1 paper), Advanced Statistical Methods and Models (1 paper), ICT in Developing Communities (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Ecological Modeling (47 citations), Nature and Landscape Conservation (81 citations), Marketing (48 citations), Ecology (127 citations) and Global and Planetary Change (100 citations). Samson Agboola has collaborated with scholars based in Nigeria and United States. Frequent co-authors include Hussaini Garba Dikko, Aisha Nana Adamu and Ayodotun Olutola. Their work appears in journals such as PLoS ONE, Asian Journal of Applied Sciences, Pakistan Journal of Statistics and Operation Research, Journal of Statistics Applications & Probability and Open Journal of Statistics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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