Mario Chong

38 papers receiving 159 citations

Peers

Mario Chong
Comparison fields: 5 of 59
  • Computer Science Applications 23
  • Organizational Behavior and Human Resource Management 40
  • Industrial and Manufacturing Engineering 26
  • Strategy and Management 29
  • Business and International Management 3
Replace Shanshan Shang with:
Shanshan Shang China
Joan van Aken Netherlands
Rachana Jaiswal India
Brahim Benbba Morocco
Jakub Soviar Slovakia
Oyegoke Teslim Bukoye United Kingdom
Þórður Víkingur Friðgeirsson Iceland
Corina Pacher Austria
Marios Dominikos Kremantzis United Kingdom
Bernd Muschard Germany
Mario Chong relative to Shanshan Shang China Shanshan Shang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mario Chong

Since Specialization
Citations

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

Fields of papers citing papers by Mario Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Mario Chong, 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 Mario Chong Line = papers co-authored together Mario Chong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201916
2 202015
3 201815
4 202212
5 202111
6 20188
7 20217
8 20236
9 20215
10 20225
11 20205
12 20234
13 20234
14 20204
15 20214
16 20184
17 20233
18 20233
19 20193
20 20213

About Mario Chong

Mario Chong is a scholar working on Education, Computer Science Applications, Biomedical Engineering, Information Systems and Economics and Econometrics, having authored 51 papers that have together received 163 indexed citations. Recurring topics across this work include E-Learning and Knowledge Management (9 papers), Biomedical and Engineering Education (8 papers), Business, Innovation, and Economy (6 papers), Facility Location and Emergency Management (4 papers), Educational Innovations and Technology (4 papers), Urban and Freight Transport Logistics (4 papers), Disaster Management and Resilience (3 papers) and Transportation Planning and Optimization (3 papers). The work is most often cited by research in Computer Science Applications (23 citations), Organizational Behavior and Human Resource Management (40 citations), Industrial and Manufacturing Engineering (26 citations), Strategy and Management (29 citations) and Business and International Management (3 citations). Mario Chong has collaborated with scholars based in Peru, United States and Colombia. Frequent co-authors include Daniel Jurburg, Irineu de Brito, Rosa G. González‐Ramírez, Leonardo Rivera, Christopher Mejía‐Argueta, Jorge Luis García-Alcaráz, David Ernesto Salinas-Navarro, Jesús González-Feliu, Martín Tanco and Leise Kelli de Oliveira. Their work appears in journals such as Sustainability, Journal of Humanitarian Logistics and Supply Chain Management, Industrial Management & Data Systems, IEEE Revista Iberoamericana de Tecnologias del Aprendizaje and Journal of International Education in Business.

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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