Jonathan D. Kim

35 papers receiving 615 citations

Peers

Jonathan D. Kim
Comparison fields: 5 of 122
  • Geophysics 80
  • Health, Toxicology and Mutagenesis 65
  • Geochemistry and Petrology 25
  • Computer Networks and Communications 106
  • Environmental Chemistry 40
Replace Haiping Zhu with:
Haiping Zhu China
Parminder Singh India
Frank Krüger Germany
Chenglu Li United States
Mohammad Arif Pakistan
Bowen Shi China
Mohit Kumar India
David Chung South Korea
Brad Boehmke United States
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Citations per year

Countries citing papers authored by Jonathan D. Kim

Since Specialization
Citations

This map shows the geographic impact of Jonathan D. 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 D. 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 D. Kim more than expected).

Fields of papers citing papers by Jonathan D. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020158
2 201962
3 198850
4 199049
5 200647
6 200843
7 200238
8 201132
9 200329
10 200721
11
MUSICAL SOUNDSCAPES FOR AN ACCESSIBLE AQUARIUM: BRINGING DYNAMIC EXHIBITS TO THE VISUALLY IMPAIRED
200719
12 201416
13 202211
14 201010
15 201210
16
Development of a 5-DOF Laparoscopic Assistant Robot
20067
17 20206
18 20165
19 20235
20 20084

About Jonathan D. Kim

Jonathan D. Kim is a scholar working on Gender Studies, Computer Vision and Pattern Recognition, Health, Toxicology and Mutagenesis, Geochemistry and Petrology and Geophysics, having authored 38 papers that have together received 649 indexed citations. Recurring topics across this work include Soft Robotics and Applications (6 papers), Surgical Simulation and Training (5 papers), Augmented Reality Applications (4 papers), Geochemistry and Geologic Mapping (4 papers), Geological and Geochemical Analysis (4 papers), Gender Studies in Language (4 papers), Geochemistry and Elemental Analysis (3 papers) and Behavioral Health and Interventions (2 papers). The work is most often cited by research in Geophysics (80 citations), Health, Toxicology and Mutagenesis (65 citations), Geochemistry and Petrology (25 citations), Computer Networks and Communications (106 citations) and Environmental Chemistry (40 citations). Jonathan D. Kim has collaborated with scholars based in United States, Norway and Switzerland. Frequent co-authors include William F. Fitzgerald, Pascal Mark Gygax, Ute Gabriel, Eyhab Al‐Masri, Robert D. Jacobi, Seong-Young Ko, Paul M. Weaver, Michael P. Howlett, Paul E. Green and Frank J. Carmone. Their work appears in journals such as PLoS ONE, Review of Policy Research, The Science of The Total Environment, Computational Statistics & Data Analysis and ACS ES&T Water.

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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