Doohwan Kim

795 citations
79 papers · 536 indexed · h-index 12
Topics
Simulation Techniques and Applications (17 papers)Business Process Modeling and Analysis (10 papers)Green IT and Sustainability (8 papers)

In The Last Decade

Doohwan Kim

67 papers receiving 484 citations

Peers

Doohwan Kim
Comparison fields: 5 of 81
  • Management Science and Operations Research 171
  • Computer Networks and Communications 134
  • Electrical and Electronic Engineering 126
  • Information Systems 82
  • Management Information Systems 72
Replace Frederick Kuhl with:
Frederick Kuhl United States
Yankai Chen China
Maurizio Talamo Italy
Herb Schwetman United States
P. Mathiyalagan India
Mikkel T. Jensen Denmark
A. Sen United States
Gabriela P. Henning Argentina
Robert S. Engelmore United States
Eric G. Manning Canada
Doohwan Kim relative to Frederick Kuhl United States Frederick Kuhl's profile →
Citations per field
00.5×10×15×21×
Frederick Kuhl · 1×
Citations per year

Countries citing papers authored by Doohwan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Doohwan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doohwan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Doohwan Kim. A scholar is included among the top collaborators of Doohwan 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 Doohwan Kim. Doohwan 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
#WorkIndexed citations
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12
Improved AKA Protocol for Efficient Management of Authentication Data in 3GPP Network
1
13 3
14
System Entity Structure for XML Meta Data Modeling; Application to the US Climate Normals.
8
15 4
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Calculation of Proton-Induced Reactions on Tellurium Isotopes Below 60 MeV for Medical Radioisotope Production
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About Doohwan Kim

Doohwan Kim is a scholar working on Management Science and Operations Research, Management Information Systems and Software, having authored 79 papers that have together received 536 indexed citations. Recurring topics across this work include Simulation Techniques and Applications (17 papers), Business Process Modeling and Analysis (10 papers) and Green IT and Sustainability (8 papers). The work is most often cited by research in Management Science and Operations Research (171 citations), Software (42 citations) and Management Information Systems (72 citations). Doohwan Kim has collaborated with scholars based in South Korea, United States and Austria. Frequent co-authors include Bernard P. Zeigler, Jang‐Eui Hong, Stephen J. Buckley, Graham E. Ball, Suk‐Ku Kang, Kwanghee Lee, Changyoon Kim, Jeong Geun Kim, Hongsuk Suh and Jinwoo Kim. Their work appears in journals such as Macromolecules, Chemical Communications and IEEE Access.

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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