Phil Kim

956 citations
19 papers · 740 · h-index 8

Impact in

Papers in

Phil Kim

16 papers receiving 701 citations

Peers

Phil Kim
Comparison fields: 5 of 135
  • Artificial Intelligence 218
  • Computer Vision and Pattern Recognition 130
  • Software 20
  • Media Technology 29
  • Control and Systems Engineering 74
Replace S. Sumathi with:
S. Sumathi India
Amelia Ritahani Ismail Malaysia
Stamatios V. Kartalopoulos United States
Sunil L. Bangare India
Gang Xu China
Mohsin Ali United States
Muhammad Asif Khan Qatar
Jeff Heaton United States
Phil Kim relative to S. Sumathi India S. Sumathi's profile →
Citations per field
00.5×5.1×
S. Sumathi · 1×
Citations per year

Countries citing papers authored by Phil Kim

Since Specialization
Citations

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

Fields of papers citing papers by Phil Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Phil Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Phil Kim Line = papers co-authored together Phil Kim links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2017261
2 2017175
3 201784
4
Executing reactive, model-based programs through graph-based temporal planning
200175
5
Kalman Filter for Beginners: with MATLAB Examples
201166
6 202229
7 201712
8
Model-based Reactive Programming of Cooperative Vehicles for Mars Exploration
200111
9 20216
10 20235
11 20224
12 20234
13 20174
14 20222
15 20201
16 20101
17 20250
18 20250
19 20210

About Phil Kim

Phil Kim is a scholar working on Artificial Intelligence, Public Administration, Control and Systems Engineering, Sociology and Political Science and Aerospace Engineering, having authored 19 papers that have together received 740 indexed citations. Recurring topics across this work include Public Policy and Administration Research (3 papers), AI-based Problem Solving and Planning (2 papers), Job Satisfaction and Organizational Behavior (2 papers), Fault Detection and Control Systems (2 papers), Fluid Dynamics and Heat Transfer (1 paper), Occupational Health and Performance (1 paper), Advanced Battery Technologies Research (1 paper) and Disaster Response and Management (1 paper). The work is most often cited by research in Artificial Intelligence (218 citations), Computer Vision and Pattern Recognition (130 citations), Software (20 citations), Media Technology (29 citations) and Control and Systems Engineering (74 citations). Phil Kim has collaborated with scholars based in South Korea, New Zealand and United States. Frequent co-authors include Brian Williams, Wonhyuk Cho, In Yang, Michael Hofbaur, Tobin Im, Jinhyun Kim, Seungkeun Kim, Jangho Lee, Brian C. Williams and Jeongsik Kim. Their work appears in journals such as Review of Public Personnel Administration, The Journal of Urology, Public Personnel Management, International Journal of Control Automation and Systems and International Journal of Aeronautical and Space Sciences.

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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