Jake Kim

20 papers receiving 581 citations

Peers

Jake Kim
Comparison fields: 5 of 70
  • Computational Mechanics 250
  • Biomedical Engineering 371
  • Automotive Engineering 100
  • Mechanical Engineering 241
  • Animal Science and Zoology 39
Replace G.S.V.L. Narasimham with:
G.S.V.L. Narasimham India
John Mathew United States
Xiaohui Ruan China
Chih-Yuan Chang Taiwan
Sanghyeok Lee South Korea
Swastik Acharya India
Crystal E. Owens United States
Bernd Platzer Germany
Isares Dhuchakallaya Thailand
Sorin-Cristian Vlădescu United Kingdom
Jake Kim relative to G.S.V.L. Narasimham India G.S.V.L. Narasimham's profile →
Citations per field
00.5×8.3×
G.S.V.L. Narasimham · 1×
Citations per year

Countries citing papers authored by Jake Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jake Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2004247
2 200684
3 202154
4 200653
5 201352
6 200221
7 202319
8 201415
9 202212
10 20239
11 20049
12 20227
13 20227
14 20037
15 20225
16 20232
17 20222
18
Analysis of Convective Instabilities of Binary Nanofluids
20042
19 20071
20 20241

About Jake Kim

Jake Kim is a scholar working on Animal Science and Zoology, Biomedical Engineering, Computational Mechanics, Food Science and Insect Science, having authored 20 papers that have together received 609 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (6 papers), Meat and Animal Product Quality (6 papers), Advanced Battery Materials and Technologies (3 papers), Bee Products Chemical Analysis (3 papers), Advancements in Battery Materials (3 papers), Advanced Battery Technologies Research (2 papers), Solar Thermal and Photovoltaic Systems (2 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Computational Mechanics (250 citations), Biomedical Engineering (371 citations), Automotive Engineering (100 citations), Mechanical Engineering (241 citations) and Animal Science and Zoology (39 citations). Jake Kim has collaborated with scholars based in South Korea, Ethiopia and Australia. Frequent co-authors include Chang Kyun Choi, Yong Tae Kang, In‐Ho Jung, Yun‐Sang Choi, Sang Woo Kim, Sung Wook Paek, Gi‐Heon Kim, Minhwan Seo, Tae‐Kyung Kim and Yea‐Ji Kim. Their work appears in journals such as Food Science of Animal Resources, International Journal of Refrigeration, Journal of Animal Science and Technology, Nanoscale and Microscale Thermophysical Engineering and International Journal of Thermal Sciences.

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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