Jongho Im

472 citations
35 papers · 293 · h-index 8

Impact in

    • Statistical Methods and Bayesian Inference
    • Statistical Methods and Inference
  • Marketing top 10%
    • Consumer Behavior in Brand Consumption and Identification

Papers in

Jongho Im

29 papers receiving 283 citations

Peers

Jongho Im
Comparison fields: 5 of 77
  • Statistics and Probability 52
  • Marketing 47
  • Building and Construction 43
  • Transportation 21
  • Sociology and Political Science 96
Replace Giancarlo Manzi with:
Giancarlo Manzi Italy
Sébastien Damart France
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Arthur J. Swersey United States
O. Cem Ozturk United States
Arie Beresteanu United States
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Citations per field
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Giancarlo Manzi · 1×
Citations per year

Countries citing papers authored by Jongho Im

Since Specialization
Citations

This map shows the geographic impact of Jongho Im'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 Jongho Im with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jongho Im more than expected).

Fields of papers citing papers by Jongho Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jongho Im. 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 Jongho Im. The network helps show where Jongho Im may publish in the future.

Co-authors

The 25 scholars most cited alongside Jongho Im, 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 Jongho Im Line = papers co-authored together Jongho Im links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202180
2 201939
3 201636
4 201733
5 201919
6 201813
7 201812
8 20238
9 20147
10 20146
11 20236
12 20224
13 20204
14 20213
15 20193
16 20173
17 20242
18 20212
19 20202
20
A Study on the Factors Affecting the Earned Income Level of Households with the Disabled -Utilizing data from 「2007 Korea Welfare Panel Study」-
20091

About Jongho Im

Jongho Im is a scholar working on Statistics and Probability, Artificial Intelligence, Sociology and Political Science, Marketing and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 293 indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (5 papers), Diverse Approaches in Healthcare and Education Studies (4 papers), Consumer Market Behavior and Pricing (3 papers), Digital Marketing and Social Media (3 papers), Financial Risk and Volatility Modeling (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Survey Methodology and Nonresponse (3 papers). The work is most often cited by research in Statistics and Probability (52 citations), Marketing (47 citations), Building and Construction (43 citations), Transportation (21 citations) and Sociology and Political Science (96 citations). Jongho Im has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Jewoo Kim, Joon Yeon Choeh, Kristen Cetin, Minsun Riddles, Jae Kwang Kim, Jasmeet Singh, In Ho Cho, Tong Tong, Hali̇l Ceylan and Seunghwan Park. Their work appears in journals such as Building and Environment, IEEE Transactions on Knowledge and Data Engineering, Journal of Survey Statistics and Methodology, Chemical Communications and International Journal of Contemporary Hospitality Management.

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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