James M. Kang

661 total citations
17 papers, 369 citations indexed

About

James M. Kang is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems. According to data from OpenAlex, James M. Kang has authored 17 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 4 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in James M. Kang's work include Data Management and Algorithms (11 papers), Geographic Information Systems Studies (4 papers) and Advanced Database Systems and Queries (4 papers). James M. Kang is often cited by papers focused on Data Management and Algorithms (11 papers), Geographic Information Systems Studies (4 papers) and Advanced Database Systems and Queries (4 papers). James M. Kang collaborates with scholars based in United States, United Kingdom and Ireland. James M. Kang's 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 and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems and Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery.

In The Last Decade

James M. Kang

16 papers receiving 352 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
James M. Kang United States	10	191	90	88	79	69	17	369
Venkata M. V. Gunturi India	6	94 0.5×	43 0.5×	54 0.6×	33 0.4×	89 1.3×	17	304
Minseo Kang South Korea	5	93 0.5×	65 0.7×	76 0.9×	22 0.3×	49 0.7×	10	352
Irene Ntoutsi Greece	9	234 1.2×	77 0.9×	221 2.5×	14 0.2×	65 0.9×	16	458
Kathleen Hornsby United States	7	267 1.4×	37 0.4×	83 0.9×	16 0.2×	68 1.0×	17	397
Hoang Vo United States	10	449 2.4×	155 1.7×	78 0.9×	36 0.5×	67 1.0×	21	670
Linfang Ding Germany	11	45 0.2×	28 0.3×	104 1.2×	26 0.3×	111 1.6×	43	405
Dev Oliver United States	10	95 0.5×	18 0.2×	35 0.4×	44 0.6×	94 1.4×	23	260
Tim Hanratty United States	6	93 0.5×	70 0.8×	116 1.3×	49 0.6×	214 3.1×	10	363
Gerasimos Marketos Greece	9	248 1.3×	41 0.5×	62 0.7×	11 0.1×	92 1.3×	14	305
Stefano Modafferi Italy	8	23 0.1×	103 1.1×	130 1.5×	45 0.6×	58 0.8×	22	410

Countries citing papers authored by James M. Kang

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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17 of 17 papers shown

Eftelioglu, Emre, et al.. (2016). Ring-Shaped Hotspot Detection. IEEE Transactions on Knowledge and Data Engineering. 28(12). 3367–3381. 18 indexed citations

Eftelioglu, Emre, Shashi Shekhar, Dev Oliver, et al.. (2014). Ring-Shaped Hotspot Detection: A Summary of Results. 815–820. 23 indexed citations

Kang, James M., et al.. (2014). Improved Sand-Screen Design for Multi-Joint Flow Control. 2 indexed citations

Yang, KwangSoo, Michael R. Evans, Venkata M. V. Gunturi, James M. Kang, & Shashi Shekhar. (2013). Lagrangian Approaches to Storage of Spatio-Temporal Network Datasets. IEEE Transactions on Knowledge and Data Engineering. 26(9). 2222–2236.

Oliver, Dev, et al.. (2013). A K-Main Routes Approach to Spatial Network Activity Summarization. IEEE Transactions on Knowledge and Data Engineering. 26(6). 1464–1478. 11 indexed citations

Baumer, Eric P. S., et al.. (2013). Broadening Exposure, Questioning Opinions, and Reading Patterns with Reflext: a Computational Support for Frame Reflection. Journal of Information Technology & Politics. 11(1). 45–63. 9 indexed citations

Oliver, Dev, et al.. (2012). Geo-referenced Time-Series Summarization Using k-Full Trees: A Summary of Results. 4. 797–804. 1 indexed citations

Shekhar, Shashi, Michael R. Evans, James M. Kang, & Pradeep Mohan. (2011). Identifying patterns in spatial information: A survey of methods. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 1(3). 193–214. 110 indexed citations

Evans, Michael R., KwangSoo Yang, James M. Kang, & Shashi Shekhar. (2010). A Lagrangian approach for storage of spatio-temporal network datasets. 212–221. 6 indexed citations

10.

Oliver, Dev, et al.. (2010). A K-Main Routes Approach to Spatial Network Activity Summarization: A Summary of Results. 727. 265–272. 5 indexed citations

11.

Kang, James M., et al.. (2009). Context inclusive function evaluation: a case study with EM-based multi-scale multi-granular image classification. Knowledge and Information Systems. 21(2). 231–247. 4 indexed citations

12.

George, Betsy, James M. Kang, & Shashi Shekhar. (2009). Spatio-Temporal Sensor Graphs (STSG): A data model for the discovery of spatio-temporal patterns1. Intelligent Data Analysis. 13(3). 457–475. 22 indexed citations

13.

Kang, James M., Mohamed F. Mokbel, Shashi Shekhar, Tian Xia, & Donghui Zhang. (2009). Incremental and General Evaluation of Reverse Nearest Neighbors. IEEE Transactions on Knowledge and Data Engineering. 22(7). 983–999. 11 indexed citations

14.

Kang, James M., et al.. (2008). Discovering Flow Anomalies: A SWEET Approach. 851–856. 10 indexed citations

15.

Çelik, Mete, James M. Kang, & Shashi Shekhar. (2007). Zonal Co-location Pattern Discovery with Dynamic Parameters. 433–438. 52 indexed citations

16.

Çelik, Mete, Shashi Shekhar, James P. Rogers, James A. Shine, & James M. Kang. (2007). Mining At Most Top-K% Mixed-drove Spatio-temporal Co-occurrence Patterns: A Summary of Results. 565–574. 14 indexed citations

17.

Kang, James M., Mohamed F. Mokbel, Shashi Shekhar, Tian Xia, & Donghui Zhang. (2007). Continuous Evaluation of Monochromatic and Bichromatic Reverse Nearest Neighbors. 806–815. 71 indexed citations

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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