Michael R. Clark

2.1k total citations · 1 hit paper
21 papers, 1.5k citations indexed

About

Michael R. Clark is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Michael R. Clark has authored 21 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 7 papers in Human-Computer Interaction and 5 papers in Artificial Intelligence. Recurrent topics in Michael R. Clark's work include Gaze Tracking and Assistive Technology (7 papers), Motor Control and Adaptation (5 papers) and Visual perception and processing mechanisms (4 papers). Michael R. Clark is often cited by papers focused on Gaze Tracking and Assistive Technology (7 papers), Motor Control and Adaptation (5 papers) and Visual perception and processing mechanisms (4 papers). Michael R. Clark collaborates with scholars based in United States and Russia. Michael R. Clark's co-authors include Lawrence Stark, A. Terry Bahill, Laura Stark, Hewitt D. Crane, V. V. Krishnan, E.I. Jury, K. T. Arasu, Donald R. Reising, J.M. Haschke and Vladimiro Mújica and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Experimental Neurology.

In The Last Decade

Michael R. Clark

19 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The main sequence, a tool for studying human eye movements

1975 873 citations A. Terry Bahill, Michael R. Clark et al. Mathematical Biosciences profile →

Peers

Michael R. Clark

CN

NEURO

HI

OPHTH

BE

Gabriel M. Gauthier France

B.L. Zuber United States

R. Jürgens Germany

Cyril Rashbass Poland

Henrietta L. Galiana Canada

Eliana M. Klier United States

V. Tagliasco Italy

I. P. Howard Canada

Gunnar Blohm Canada

Herbert C. Goltz Canada

Gabriel M. Gauthier France

Michael R. Clark

1.1k ×1.0

CN

563 ×1.5

NEURO

132 ×0.4

HI

172 ×0.7

OPHTH

214 ×1.3

BE

Citations per year, relative to Michael R. Clark Michael R. Clark (= 1×) peers Gabriel M. Gauthier

Countries citing papers authored by Michael R. Clark

Since Specialization

Citations

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

Fields of papers citing papers by Michael R. Clark

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael R. Clark

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

All Works

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20 of 20 papers shown

1.

Arasu, K. T., et al.. (2022). Unimodular Perfect and Nearly Perfect Sequences: a Variation of Björck’s Scheme. IEEE Transactions on Information Theory. 69(4). 2691–2701. 2 indexed citations

2.

Chamberlin, Ralph V., Michael R. Clark, Vladimiro Mújica, & George H. Wolf. (2021). Multiscale Thermodynamics: Energy, Entropy, and Symmetry from Atoms to Bulk Behavior. arXiv (Cornell University). 5 indexed citations

3.

Clark, Michael R., et al.. (2021). Chaos engineering experiments in middleware systems using targeted network degradation and automatic fault injection. 8–8. 2 indexed citations

4.

Reising, Donald R., et al.. (2021). Adversarial Machine Learning for Enhanced Spread Spectrum Communications. 783–788. 10 indexed citations

5.

Clark, Michael R., et al.. (2020). Protecting publish/subscribe interactions via TLS and a system-wide certificate validation engine. 24–24.

6.

Clark, Michael R., et al.. (2020). Toward Black-box Image Extraction Attacks on RBF SVM Classification Model.

7.

Clark, Michael R. & Lawrence Stark. (1976). Sensitivity of control parameters in a model of saccadic eye tracking and estimation of resultant nervous activity. Bulletin of Mathematical Biology. 38(1). 39–57. 4 indexed citations

8.

Bahill, A. Terry, Michael R. Clark, & Lawrence Stark. (1975). Glissades—eye movements generated by mismatched components of the saccadic motoneuronal control signal. Mathematical Biosciences. 26(3-4). 303–318. 70 indexed citations

9.

Clark, Michael R., E.I. Jury, V. V. Krishnan, & Lawrence Stark. (1975). Computer simulation of biological models using the inners approach. Computers in Biology and Medicine. 5(4). 263–282. 29 indexed citations

10.

Clark, Michael R., V. V. Krishnan, & Lawrence Stark. (1975). Inners and biocontrol models. Bulletin of Mathematical Biology. 37(2). 161–180. 26 indexed citations

11.

Bahill, A. Terry, Michael R. Clark, & Lawrence Stark. (1975). Computer simulation of overshoot in saccadic eye movements. Computer Programs in Biomedicine. 4(4). 230–236. 13 indexed citations

12.

Haschke, J.M. & Michael R. Clark. (1975). Phase equilibria and crystal growth of alkaline earth and lanthanide dihydrides. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations

13.

Bahill, A. Terry, Michael R. Clark, & Lawrence Stark. (1975). The main sequence, a tool for studying human eye movements. Mathematical Biosciences. 24(3-4). 191–204. 873 indexed citations breakdown →

14.

Clark, Michael R.. (1975). A two-dimensional Purkinje eye tracker. Behavior Research Methods. 7(2). 215–219. 17 indexed citations

15.

Bahill, A. Terry, Michael R. Clark, & Lawrence Stark. (1975). Dynamic overshoot in saccadic eye movements is caused by neurological control signal reversals. Experimental Neurology. 48(1). 107–122. 185 indexed citations

16.

Bahill, A. Terry, et al.. (1975). Closely spaced saccades.. PubMed. 14(4). 317–21. 31 indexed citations

17.

Clark, Michael R. & Laura Stark. (1975). Time optimal behavior of human saccadic eye movement. IEEE Transactions on Automatic Control. 20(3). 345–348. 115 indexed citations

18.

Clark, Michael R. & Lawrence Stark. (1974). Control of human eye movements: I. modelling of extraocular muscle. Mathematical Biosciences. 20(3-4). 191–211. 39 indexed citations

19.

Clark, Michael R., A. Terry Bahill, & Laura Stark. (1974). A pulse-width modulated model for visual eye tracking. 655–657. 1 indexed citations

20.

Clark, Michael R. & Lawrence Stark. (1974). Control of human eye movements: II. a model for the extraocular plant mechanism. Mathematical Biosciences. 20(3-4). 213–238. 35 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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