Robert J. Marks

1.2k total citations
11 papers, 791 citations indexed

About

Robert J. Marks is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Robert J. Marks has authored 11 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Robert J. Marks's work include Neural Networks and Applications (3 papers), Evolutionary Algorithms and Applications (2 papers) and Non-Destructive Testing Techniques (2 papers). Robert J. Marks is often cited by papers focused on Neural Networks and Applications (3 papers), Evolutionary Algorithms and Applications (2 papers) and Non-Destructive Testing Techniques (2 papers). Robert J. Marks collaborates with scholars based in United States. Robert J. Marks's co-authors include Russell Reed, Charles J. Robinson, Jacek M. Żurada, M.A. El-Sharkawi, Isidor Kerszenbaum, William A. Dembski, J.J. Choi, B.B. Thompson, Benjamin H. Kirk and Charles A. Baylis and has published in prestigious journals such as IEEE Transactions on Energy Conversion, Signal Image and Video Processing and Journal of Advanced Computational Intelligence and Intelligent Informatics.

In The Last Decade

Robert J. Marks

9 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert J. Marks United States	8	395	145	101	99	83	11	791
Harpreet Singh United States	13	217 0.5×	156 1.1×	114 1.1×	114 1.2×	99 1.2×	89	775
Vojtěch Dvořák Czechia	5	406 1.0×	177 1.2×	72 0.7×	105 1.1×	58 0.7×	33	671
Russell C. Eberhart United States	8	456 1.2×	163 1.1×	74 0.7×	123 1.2×	201 2.4×	19	1.0k
Roy W. Dobbins United States	7	389 1.0×	127 0.9×	44 0.4×	90 0.9×	125 1.5×	15	858
A. Malinowski United States	9	217 0.5×	169 1.2×	66 0.7×	139 1.4×	30 0.4×	43	626
Yoshinobu Kawahara Japan	19	338 0.9×	170 1.2×	171 1.7×	74 0.7×	70 0.8×	85	1.1k
Jingru Zhang China	7	272 0.7×	103 0.7×	68 0.7×	135 1.4×	44 0.5×	36	691
Jinsha Yuan China	15	302 0.8×	131 0.9×	204 2.0×	326 3.3×	87 1.0×	79	981
K.N. Krishnanand India	9	546 1.4×	171 1.2×	144 1.4×	141 1.4×	185 2.2×	13	999

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-authorship network of co-authors of Robert J. Marks

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Marks. A scholar is included among the top collaborators of Robert J. Marks 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 Robert J. Marks. Robert J. Marks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Baylis, Charles A., et al.. (2025). A MEMS-Switched Decade-Bandwidth Tunable Notch Filter for Low-Loss, High-Linearity, Wideband Receiving Applications. 1–4.

2.

Baylis, Charles A., et al.. (2022). Cascade watchdog: a multi-tiered adversarial guard for outlier detection. Signal Image and Video Processing. 17(4). 1535–1542.

3.

Dembski, William A., et al.. (2013). Active Information in Metabiology. 2013(4). 2 indexed citations

4.

Dembski, William A. & Robert J. Marks. (2010). The Search for a Search: Measuring the Information Cost of Higher Level Search. Journal of Advanced Computational Intelligence and Intelligent Informatics. 14(5). 475–486. 16 indexed citations

5.

Marks, Robert J., et al.. (2010). A Vivisection of the ev Computer Organism: Identifying Sources of Active Information. 2010(3). 9 indexed citations

6.

Marks, Robert J., et al.. (2003). Missing sensors restoration for system control and diagnostics. 338–341. 10 indexed citations

7.

Thompson, B.B., et al.. (2003). Implicit learning in autoencoder novelty assessment. 2878–2883. 34 indexed citations

8.

El-Sharkawi, M.A., et al.. (2000). Development of a technique for on-line detection of shorts in field windings of turbine-generator rotors: circuit design and testing. IEEE Transactions on Energy Conversion. 15(1). 8–13. 20 indexed citations

9.

Marks, Robert J., et al.. (1999). Elliptical novelty grouping for on-line short-turn detection of excited running rotors. IEEE Transactions on Energy Conversion. 14(1). 16–22. 52 indexed citations

10.

Reed, Russell & Robert J. Marks. (1999). Neural Smithing. The MIT Press eBooks. 316 indexed citations

11.

Marks, Robert J., Jacek M. Żurada, & Charles J. Robinson. (1994). Computational Intelligence: Imitating Life. IEEE Press eBooks. 332 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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