Robert J. Marks

306 papers receiving 6.4k citations

Robert J. Marks's Hit Papers

Electric load forecasting using an artificial neural network 1991 · 1.2k citations
1.2k0+11+23Years since publication2505007501000

Peers

Robert J. Marks
Comparison fields: 5 of 175
  • Signal Processing 600
  • Artificial Intelligence 1.8k
  • Control and Systems Engineering 1.2k
  • Computer Vision and Pattern Recognition 1.1k
  • Electrical and Electronic Engineering 2.7k
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Citations per year

Countries citing papers authored by Robert J. Marks

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Marks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Marks. 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 Robert J. Marks. The network helps show where Robert J. Marks may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 335 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Electric load forecasting using an artificial neural network
Hit paper breakdown →
19911189
2 1991392
3 1990331
4 2001152
5 2002147
6 2001136
7 1991126
8 2003116
9 199099
10 199299
11 199195
12 199591
13 201489
14 198186
15 200286
16 199884
17 199179
18 197873
19 200967
20 199965

About Robert J. Marks

Robert J. Marks is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 335 papers that have together received 6.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (51 papers), Radar Systems and Signal Processing (47 papers), Advanced Power Amplifier Design (39 papers), Image and Signal Denoising Methods (33 papers), Radio Frequency Integrated Circuit Design (30 papers), Blind Source Separation Techniques (21 papers), Full-Duplex Wireless Communications (20 papers) and Mathematical Analysis and Transform Methods (18 papers). The work is most often cited by research in Signal Processing (600 citations), Artificial Intelligence (1.8k citations), Control and Systems Engineering (1.2k citations), Computer Vision and Pattern Recognition (1.1k citations) and Electrical and Electronic Engineering (2.7k citations). Robert J. Marks has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include M.A. El-Sharkawi, Les Atlas, Dong-Chul Park, Mark J. Damborg, Sung‐Kwun Oh, Payman Arabshahi, Charles Baylis, Yunxin Zhao, Craig A. Jensen and Andrew Gray. Their work appears in journals such as Applied Optics, IEEE Transactions on Aerospace and Electronic Systems, Optics Letters, IEEE Transactions on Microwave Theory and Techniques and IEEE Transactions on Systems Man and Cybernetics Systems.

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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