Popularity and diversity: The negative relationship in baby names in the United Kingdom

Based on this study, we can predict one indicator from the other indicator. Because raw data on names are generally difficult to collect, this prediction is useful for understanding names and naming practices.

Authors

Institutions

Publication Details

Journal
F1000Research
Published
2025-12-24
DOI
https://doi.org/10.12688/f1000research.162476.3
Primary Topic
Names, Identity, and Discrimination Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Popularity and diversity: The negative relationship in baby names in the United Kingdom

Yuji Ogihara
F1000Research
Names, Identity, and Discrimination Research
article

Popularity and diversity: The negative relationship in baby names in the United Kingdom

Yuji Ogihara
article en

Abstract

Based on this study, we can predict one indicator from the other indicator. Because raw data on names are generally difficult to collect, this prediction is useful for understanding names and naming practices.

F1000ResearchVol. 14
Aoyama Gakuin University (JP)
Openalex Percentile: Top 24%
Names, Identity, and Discrimination Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.