In Kee Kim

492 total citations
39 papers, 293 citations indexed

About

In Kee Kim is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, In Kee Kim has authored 39 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 17 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in In Kee Kim's work include Cloud Computing and Resource Management (17 papers), IoT and Edge/Fog Computing (14 papers) and Distributed and Parallel Computing Systems (5 papers). In Kee Kim is often cited by papers focused on Cloud Computing and Resource Management (17 papers), IoT and Edge/Fog Computing (14 papers) and Distributed and Parallel Computing Systems (5 papers). In Kee Kim collaborates with scholars based in United States, South Korea and Indonesia. In Kee Kim's co-authors include Wei Wang, Marty Humphrey, Yanjun Qi, Jae Wook Lee, Arief Setyanto, Lakshmish Ramaswamy, Jinho Hwang, Christopher C. Young, Byungjin Cho and Amanda L. Giordano and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Cloud Computing.

In The Last Decade

In Kee Kim

37 papers receiving 279 citations

Peers

In Kee Kim
Comparison fields: 5 of 53
  • Information Systems 170
  • Computer Networks and Communications 168
  • Artificial Intelligence 62
  • Building and Construction 45
  • Computer Vision and Pattern Recognition 29
Replace Aqeel Kazmi with:
Aqeel Kazmi Ireland
Bing Su China
Sangita Chaudhari India
Maman Abdurohman Indonesia
Tomasz Szydło Poland
Zhe Ji China
Ibrahim Mahmood Ibrahim Iraq
Mary Subaja Christo India
Hyo‐Chan Bang South Korea
Aqeel Kazmi Ireland View profile →
Citations per field, relative to In Kee Kim
In Kee Kim · 1×
Citations per year, relative to In Kee Kim
In Kee Kim · 1×

Countries citing papers authored by In Kee Kim

Since Specialization
Citations

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

Fields of papers citing papers by In Kee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of In Kee Kim

This figure shows the co-authorship network connecting the top 25 collaborators of In Kee Kim. A scholar is included among the top collaborators of In Kee 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 In Kee Kim. In Kee Kim 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 1
2 6
3 1
4 3
5 1
6 0
7 5
8 12
9 9
10 6
11 4
12 3
13 26
14 1
15 16
16 6
17 2
18 1
19
Experimental And Numerical Analysis On the Flow Characteristics of Solid-Liquid Two-Phase Mixtures In a Curvature Pipe
1
20
An Experimental Study On Lab Scale Air-Lift Pump Flowing Solid-Liquid-Air Three-Phase Mixture
8

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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