Emily L. Kang

1.9k citations
46 papers · 1.3k indexed · h-index 16
Topics
Soil Geostatistics and Mapping (13 papers)Atmospheric and Environmental Gas Dynamics (12 papers)Meteorological Phenomena and Simulations (9 papers)

In The Last Decade

Emily L. Kang

46 papers receiving 1.2k citations

Peers

Emily L. Kang
Comparison fields: 5 of 146
  • Molecular Biology 459
  • Environmental Engineering 286
  • Global and Planetary Change 255
  • Atmospheric Science 165
  • Economics and Econometrics 131
Replace Benjamin A. Shaby with:
Benjamin A. Shaby United States
Andrés M. Alonso Spain
Ingrid Hobæk Haff Norway
Chunsheng Ma United States
Walter W. Piegorsch United States
Mark Greenwood United States
Alberto de la Fuente Chile
Yun Shi China
Shuyi Zhang China
Italia De Feis Italy
Emily L. Kang relative to Benjamin A. Shaby United States Benjamin A. Shaby's profile →
Citations per field
00.5×
Benjamin A. Shaby · 1×
Citations per year

Countries citing papers authored by Emily L. Kang

Since Specialization
Citations

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

Fields of papers citing papers by Emily L. Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily L. Kang. 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 Emily L. Kang. The network helps show where Emily L. Kang may publish in the future.

Co-authorship network of co-authors of Emily L. Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Emily L. Kang. A scholar is included among the top collaborators of Emily L. Kang 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 Emily L. Kang. Emily L. Kang 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 1
2 5
3 10
4 3
5 3
6 10
7 14
8 19
9 1
10 5
11 8
12 117
13 9
14 263
15 165
16 15
17 17
18 55
19 8
20 32

About Emily L. Kang

Emily L. Kang is a scholar working on Environmental Engineering, Global and Planetary Change and Statistics and Probability, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (13 papers), Atmospheric and Environmental Gas Dynamics (12 papers) and Meteorological Phenomena and Simulations (9 papers). The work is most often cited by research in Environmental Engineering (286 citations), Global and Planetary Change (255 citations) and Statistics and Probability (78 citations). Emily L. Kang has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Noel Cressie, Tao Shi, Sheng Ren, Rhonda D. Szczesniak, Long Lu, Natalie L. Stephenson, Corina E. Antal, Eleanor W. Trotter, John Brognard and Alexandra C. Newton. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Statistical Association.

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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