Heeseung Jo

1.3k total citations
30 papers, 957 citations indexed

About

Heeseung Jo is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Heeseung Jo has authored 30 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 17 papers in Information Systems and 11 papers in Hardware and Architecture. Recurrent topics in Heeseung Jo's work include Cloud Computing and Resource Management (15 papers), Advanced Data Storage Technologies (14 papers) and Parallel Computing and Optimization Techniques (10 papers). Heeseung Jo is often cited by papers focused on Cloud Computing and Resource Management (15 papers), Advanced Data Storage Technologies (14 papers) and Parallel Computing and Optimization Techniques (10 papers). Heeseung Jo collaborates with scholars based in South Korea, United States and Ireland. Heeseung Jo's co-authors include Joonwon Lee, Jin‐Soo Kim, Jeong‐Uk Kang, Hwanju Kim, Jinkyu Jeong, Seon-Yeong Park, Hyeontaek Lim, Dawoon Jung, Seungryoul Maeng and Myeongjae Jeon and has published in prestigious journals such as IEEE Transactions on Computers, BioMed Research International and Applied Sciences.

In The Last Decade

Heeseung Jo

26 papers receiving 916 citations

Peers

Heeseung Jo
Comparison fields: 5 of 66
  • Computer Networks and Communications 844
  • Hardware and Architecture 452
  • Information Systems 304
  • Computational Theory and Mathematics 117
  • Artificial Intelligence 86
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Citations per field, relative to Heeseung Jo
Heeseung Jo · 1×
Citations per year, relative to Heeseung Jo
Heeseung Jo · 1×

Countries citing papers authored by Heeseung Jo

Since Specialization
Citations

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

Fields of papers citing papers by Heeseung Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heeseung Jo

This figure shows the co-authorship network connecting the top 25 collaborators of Heeseung Jo. A scholar is included among the top collaborators of Heeseung Jo 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 Heeseung Jo. Heeseung Jo 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
# Work Indexed citations
1 9
2 1
3 53
4 2
5 15
6 3
7
Towards high performance and usability programming model for heterogeneous HPC platforms
0
8 2
9 1
10
A Layer-by-Layer Levenberg-Marquardt algorithm for Feedforward Multilayer Perceptron
1
11 60
12 7
13 4
14
NP-Completeness of Memory-Aware Virtual Machine Scheduling Problem
1
15 152
16 10
17 4
18 74
19 198
20 239

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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