James M. Kang
- Signal Processing top 5%
- Information Systems top 10%
- Artificial Intelligence
- Epidemiology
- Transportation top 5%
- Co-authors
- Shashi ShekharMichael R. EvansPradeep MohanMete ÇelikTian XiaDonghui ZhangMohamed F. MokbelBetsy George
- Topics
- Data Management and Algorithms (11 papers)Geographic Information Systems Studies (4 papers)Advanced Database Systems and Queries (4 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringKnowledge and Information SystemsWiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
James M. Kang
16 papers receiving 352 citations
Peers
Comparison fields: 5 of 74
- Signal Processing 191
- Information Systems 90
- Artificial Intelligence 88
- Epidemiology 79
- Transportation 69
Countries citing papers authored by James M. Kang
This map shows the geographic impact of James M. Kang'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 James M. Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Kang more than expected).
Fields of papers citing papers by James M. Kang
This network shows the impact of papers produced by James M. Kang. 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 James M. Kang. The network helps show where James M. Kang may publish in the future.
Co-authorship network of co-authors of James M. Kang
This figure shows the co-authorship network connecting the top 25 collaborators of James M. Kang. A scholar is included among the top collaborators of James M. Kang 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 James M. Kang. James M. Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 23 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 110 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 22 | |
| 13 | 11 | |
| 14 | 10 | |
| 15 | 52 | |
| 16 | 14 | |
| 17 | 71 |
About James M. Kang
James M. Kang is a scholar working on Signal Processing, Geography, Planning and Development and Transportation, having authored 17 papers that have together received 369 indexed citations. Recurring topics across this work include Data Management and Algorithms (11 papers), Geographic Information Systems Studies (4 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Signal Processing (191 citations), Geography, Planning and Development (65 citations) and Transportation (69 citations). James M. Kang has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Shashi Shekhar, Michael R. Evans, Pradeep Mohan, Shashi Shekhar, Mete Çelik, Tian Xia, Donghui Zhang, Mohamed F. Mokbel, Betsy George and Emre Eftelioglu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems and Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery.
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.