Kimkong Heng

1.2k citations
38 papers · 634 indexed · 1 hit paper · h-index 9
Topics
Cambodian History and Society (23 papers)Artificial Intelligence in Healthcare and Education (7 papers)Online Learning and Analytics (2 papers)
Journals
SHILAP Revista de lepidopterologíaComputers & Industrial EngineeringHigher Education

In The Last Decade

Kimkong Heng

29 papers receiving 568 citations

Hit Papers

Online learning during COVID-19: Key challenges and sugge...20212026202220242021255075100

Peers

Kimkong Heng
Comparison fields: 5 of 81
  • Health Informatics 185
  • Education 137
  • Artificial Intelligence 134
  • Computer Science Applications 111
  • Management Information Systems 94
Replace Jessica L. Pallant with:
Jessica L. Pallant Australia
Nishith Reddy Mannuru United States
Emre Kazim United Kingdom
Mike Perkins Singapore
Nisar Ahmed Dahri Malaysia
Sarah Lebovitz United States
David Santandreu Calonge United Arab Emirates
Ştefan Popenici Australia
Whitney Zhang United States
Chandan Kumar Tiwari India
Kimkong Heng relative to Jessica L. Pallant Australia Jessica L. Pallant's profile →
Citations per field
00.5×2.7×
Jessica L. Pallant · 1×
Citations per year

Countries citing papers authored by Kimkong Heng

Since Specialization
Citations

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

Fields of papers citing papers by Kimkong Heng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimkong Heng

This figure shows the co-authorship network connecting the top 25 collaborators of Kimkong Heng. A scholar is included among the top collaborators of Kimkong Heng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kimkong Heng. Kimkong Heng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 2
4 0
5 6
6 0
7 3
8 4
9 3
10 46
11 5
12 1
13 158
14 2
15 7
16 2
17 5
18 3
19 2
20
Factors influencing academics’ research engagement and productivity: a developing countries perspective
48

About Kimkong Heng

Kimkong Heng is a scholar working on Health Informatics, Sociology and Political Science and Computer Science Applications, having authored 38 papers that have together received 634 indexed citations. Recurring topics across this work include Cambodian History and Society (23 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Online Learning and Analytics (2 papers). The work is most often cited by research in Health Informatics (185 citations), Computer Science Applications (111 citations) and Management Information Systems (94 citations). Kimkong Heng has collaborated with scholars based in Cambodia, Australia and United States. Frequent co-authors include Sarin Sok, M. Obaidul Hamid, Asaduzzaman Khan, Richard J. Linn and K. Sandy Pang. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Industrial Engineering and Higher Education.

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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