Jonathan Kim

33 papers receiving 556 citations

Peers

Jonathan Kim
Comparison fields: 5 of 115
  • Geophysics 75
  • Health, Toxicology and Mutagenesis 59
  • Computer Networks and Communications 97
  • Geochemistry and Petrology 23
  • Artificial Intelligence 111
Replace Haiping Zhu with:
Haiping Zhu China
Parminder Singh India
Frank Krüger Germany
Chenglu Li United States
Bowen Shi China
Hang Yu China
Carlo Colombo Italy
Raj Mohan Singh India
Yinan He China
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Citations per year

Countries citing papers authored by Jonathan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020140
2 201963
3 198845
4 199045
5 200645
6 200842
7 200234
8 201128
9 200327
10 200719
11 201414
12
MUSICAL SOUNDSCAPES FOR AN ACCESSIBLE AQUARIUM: BRINGING DYNAMIC EXHIBITS TO THE VISUALLY IMPAIRED
200713
13 20109
14 20128
15
Development of a 5-DOF Laparoscopic Assistant Robot
20067
16 20235
17 20205
18 20105
19 20164
20 20224

About Jonathan Kim

Jonathan Kim is a scholar working on Computer Vision and Pattern Recognition, Health, Toxicology and Mutagenesis, Artificial Intelligence, Geochemistry and Petrology and Geophysics, having authored 36 papers that have together received 583 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (4 papers), Soft Robotics and Applications (4 papers), Geological and Geochemical Analysis (4 papers), Surgical Simulation and Training (3 papers), Gender Studies in Language (3 papers), Geochemistry and Elemental Analysis (3 papers), Augmented Reality Applications (3 papers) and Behavioral Health and Interventions (2 papers). The work is most often cited by research in Geophysics (75 citations), Health, Toxicology and Mutagenesis (59 citations), Computer Networks and Communications (97 citations), Geochemistry and Petrology (23 citations) and Artificial Intelligence (111 citations). Jonathan Kim has collaborated with scholars based in United States, Norway and Switzerland. Frequent co-authors include William F. Fitzgerald, Ute Gabriel, Pascal Gygax, Eyhab Al‐Masri, Robert D. Jacobi, Seong-Young Ko, Paul E. Green, Paul M. Weaver, Michael Howlett and Frank J. Carmone. Their work appears in journals such as PLoS ONE, Canadian Journal of Earth Sciences, Journal of Classification, ACS ES&T Water and Geological Society of America Bulletin.

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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