Jongho Im

486 citations
35 papers · 312 · h-index 9

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 304 citations

Peers

Jongho Im
Comparison fields: 5 of 76
  • Statistics and Probability 56
  • Marketing 48
  • Building and Construction 46
  • Transportation 21
  • Sociology and Political Science 101
Replace Giancarlo Manzi with:
Giancarlo Manzi Italy
Stanislav Dadelo Lithuania
Mahnaz Hosseinzadeh Iran
Arthur J. Swersey United States
O. Cem Ozturk United States
Sébastien Damart France
Ming-Cheng Lai Taiwan
Nabil Channouf Canada
Alan S. Levitan United States
Jongho Im relative to Giancarlo Manzi Italy Giancarlo Manzi's profile →
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 202184
2 201942
3 201639
4 201735
5 201919
6 201813
7 201812
8 20238
9 20148
10 20147
11 20237
12 20225
13 20204
14 20243
15 20193
16 20213
17 20173
18 20222
19 20252
20 20202

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 312 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), Privacy-Preserving Technologies in Data (3 papers), Building Energy and Comfort Optimization (3 papers), Digital Marketing and Social Media (3 papers), Survey Methodology and Nonresponse (3 papers) and Financial Risk and Volatility Modeling (3 papers). The work is most often cited by research in Statistics and Probability (56 citations), Marketing (48 citations), Building and Construction (46 citations), Transportation (21 citations) and Sociology and Political Science (101 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, Jae Kwang Kim, Minsun Riddles, Jasmeet Singh, Hali̇l Ceylan, In Ho Cho, Seunghwan Park and Tong Tong. Their work appears in journals such as Building and Environment, Current Issues in Tourism, Expert Systems with Applications, Environmental Science Nano and Computational Statistics & Data Analysis.

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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