Jason Koh

717 citations
19 papers · 497 · h-index 9

Impact in

Papers in

Jason Koh

17 papers receiving 474 citations

Peers

Jason Koh
Comparison fields: 5 of 52
  • Building and Construction 210
  • Geology 43
  • Industrial and Manufacturing Engineering 61
  • Artificial Intelligence 155
  • Computer Vision and Pattern Recognition 85
Replace Aslak Johansen with:
Aslak Johansen Denmark
Agustín Zaballos Spain
Yasmin Fathy United Kingdom
Christian Reinisch Austria
Milad Baghalzadeh Shishehgarkhaneh Australia
Jorge Ortiz United States
Steven T. Bushby United States
Shaun Howell United Kingdom
Félix J. Villanueva Spain
Anand Krishnan Prakash United States
Jason Koh relative to Aslak Johansen Denmark Aslak Johansen's profile →
Citations per field
00.5×1.5×
Aslak Johansen · 1×
Citations per year

Countries citing papers authored by Jason Koh

Since Specialization
Citations

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

Fields of papers citing papers by Jason Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2018164
2 2016160
3 201451
4 201826
5 201825
6 201915
7 201614
8 201710
9 202010
10 20175
11 20204
12 20194
13
Metadata Models and Methods for Smart Buildings
20203
14 20173
15 20241
16 20161
17 20191
18 20240
19 20190

About Jason Koh

Jason Koh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Building and Construction and Electrical and Electronic Engineering, having authored 19 papers that have together received 497 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (6 papers), Context-Aware Activity Recognition Systems (4 papers), Machine Learning and Algorithms (3 papers), Building Energy and Comfort Optimization (2 papers), Data Stream Mining Techniques (2 papers), Service-Oriented Architecture and Web Services (2 papers), Machine Learning and Data Classification (2 papers) and BIM and Construction Integration (2 papers). The work is most often cited by research in Building and Construction (210 citations), Geology (43 citations), Industrial and Manufacturing Engineering (61 citations), Artificial Intelligence (155 citations) and Computer Vision and Pattern Recognition (85 citations). Jason Koh has collaborated with scholars based in United States, Ireland and Denmark. Frequent co-authors include Yuvraj Agarwal, Rajesh K. Gupta, Bharathan Balaji, Dezhi Hong, Gabe Fierro, Kamin Whitehouse, David Culler, Mani Srivastava, Aslak Johansen and Joshua Gluck. Their work appears in journals such as Applied Energy, Journal of Power Sources, Frontiers in Built Environment, University of Southern Denmark Research Portal (University of Southern Denmark) and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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