R.L. King

936 citations
70 papers · 747 · h-index 16

Impact in

Papers in

R.L. King

67 papers receiving 685 citations

Peers

R.L. King
Comparison fields: 5 of 105
  • Media Technology 220
  • Geography, Planning and Development 49
  • Computer Vision and Pattern Recognition 147
  • Signal Processing 57
  • Analytical Chemistry 46
Replace Dalton Lunga with:
Dalton Lunga United States
Marco Quartulli Spain
Zhenyu Tan China
Jicheng Wang China
Shanjun Mao China
Chengqi Cheng China
Sanping Li China
Pengfei Chen China
Yonghui Wang China
R.L. King relative to Dalton Lunga United States Dalton Lunga's profile →
Citations per field
00.5×1.7×
Dalton Lunga · 1×
Citations per year

Countries citing papers authored by R.L. King

Since Specialization
Citations

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

Fields of papers citing papers by R.L. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.L. King. 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 R.L. King. The network helps show where R.L. King may publish in the future.

Co-authors

The 25 scholars most cited alongside R.L. King, 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 R.L. King Line = papers co-authored together R.L. King links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200293
2 200365
3 200560
4 199447
5 200328
6 200324
7 200324
8 201324
9 200824
10 200520
11 201220
12 200820
13 199819
14 201218
15 201016
16 200815
17 200415
18 200415
19 200713
20 200912

About R.L. King

R.L. King is a scholar working on Media Technology, Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering and Ecology, having authored 70 papers that have together received 747 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (13 papers), Remote Sensing in Agriculture (12 papers), Power Systems and Technologies (8 papers), Power System Optimization and Stability (8 papers), Spectroscopy and Chemometric Analyses (6 papers), Power Systems Fault Detection (6 papers), Geographic Information Systems Studies (6 papers) and Advanced Image Fusion Techniques (5 papers). The work is most often cited by research in Media Technology (220 citations), Geography, Planning and Development (49 citations), Computer Vision and Pattern Recognition (147 citations), Signal Processing (57 citations) and Analytical Chemistry (46 citations). R.L. King has collaborated with scholars based in United States, France and Bosnia and Herzegovina. Frequent co-authors include Surya S. Durbha, Jianwen Wang, Nicolas H. Younan, Damir Novosel, Vahid Madani, N.H. Younan, Vijay Shah, John Cartwright, G. Mostovoy and Thomas E. Lacy. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Computer Applications in Power, Computational Materials Science, IEEE Transactions on Power Systems and IEEE Geoscience and Remote Sensing Letters.

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.

Explore authors with similar magnitude of impact