Geonu Kim

688 total citations
18 papers, 464 citations indexed

About

Geonu Kim is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Geonu Kim has authored 18 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 4 papers in Computational Theory and Mathematics. Recurrent topics in Geonu Kim's work include Radio Frequency Integrated Circuit Design (2 papers), Advanced Adaptive Filtering Techniques (2 papers) and Topic Modeling (2 papers). Geonu Kim is often cited by papers focused on Radio Frequency Integrated Circuit Design (2 papers), Advanced Adaptive Filtering Techniques (2 papers) and Topic Modeling (2 papers). Geonu Kim collaborates with scholars based in South Korea, United States and Germany. Geonu Kim's co-authors include K. Lee, T.W. Kim, Jungwoo Lee, Yoon‐Joo Park, Se‐Hak Chun, Kangjoo Lee, Petrus Christiaan Pistorius, Hyuk Lee, Yong Hoon Lee and Suha Kwak and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Vehicular Technology and Electronics Letters.

In The Last Decade

Geonu Kim

16 papers receiving 433 citations

Peers

Geonu Kim
Comparison fields: 5 of 56
  • Electrical and Electronic Engineering 320
  • Biomedical Engineering 129
  • Aerospace Engineering 58
  • Artificial Intelligence 42
  • Atomic and Molecular Physics, and Optics 31
Replace M.D. McKinley with:
M.D. McKinley United States
Chang-Jun Ahn Japan
Lingkai Kong United States
Q.J. Zhang Canada
Chien‐Fu Cheng Taiwan
Chengjian Sun China
Yukitoshi Sanada Japan
Sven Mattisson Sweden
Gary C.T. Chow United Kingdom
M.D. McKinley United States View profile →
Citations per field, relative to Geonu Kim
Geonu Kim · 1×
Citations per year, relative to Geonu Kim
Geonu Kim · 1×

Countries citing papers authored by Geonu Kim

Since Specialization
Citations

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

Fields of papers citing papers by Geonu Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geonu Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Geonu Kim. A scholar is included among the top collaborators of Geonu Kim 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 Geonu Kim. Geonu Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 17
5 15
6 1
7 11
8 58
9 12
10
Locally Repairable Codes with Unequal Locality Requirements.
3
11 4
12 15
13 2
14 3
15 38
16 240
17 37
18 6

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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