Martin R. Ford

553 total citations
24 papers, 407 citations indexed

About

Martin R. Ford is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Biomedical Engineering. According to data from OpenAlex, Martin R. Ford has authored 24 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 5 papers in Psychiatry and Mental health and 4 papers in Biomedical Engineering. Recurrent topics in Martin R. Ford's work include EEG and Brain-Computer Interfaces (12 papers), Neural dynamics and brain function (5 papers) and Psychosomatic Disorders and Their Treatments (3 papers). Martin R. Ford is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Neural dynamics and brain function (5 papers) and Psychosomatic Disorders and Their Treatments (3 papers). Martin R. Ford collaborates with scholars based in United States. Martin R. Ford's co-authors include John W. Goethe, Debra Dekker, Daniel E. Sheer, Bruce Bird, Robert D. Sidman, Stephen F. Sands, Henry L. Lew, Charles F. Stroebel, Bonnie L. Szarek and M. Fuchs and has published in prestigious journals such as Biological Psychiatry, Communications of the ACM and Psychophysiology.

In The Last Decade

Martin R. Ford

24 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin R. Ford United States 12 273 56 37 31 30 24 407
Jeong-Youn Kim South Korea 12 221 0.8× 38 0.7× 62 1.7× 28 0.9× 32 1.1× 37 343
Abigail Flower United States 7 233 0.9× 69 1.2× 23 0.6× 33 1.1× 18 0.6× 13 460
P Gérin France 11 153 0.6× 42 0.8× 12 0.3× 24 0.8× 26 0.9× 62 353
Yong-Wook Kim South Korea 12 266 1.0× 39 0.7× 24 0.6× 50 1.6× 44 1.5× 23 392
St. Kubicki Germany 11 347 1.3× 65 1.2× 13 0.4× 75 2.4× 47 1.6× 50 496
Miguel Ángel Tola-Arribas Spain 13 299 1.1× 122 2.2× 28 0.8× 18 0.6× 16 0.5× 33 478
Samantha Cohen United States 8 316 1.2× 37 0.7× 32 0.9× 61 2.0× 11 0.4× 15 399
Liam D. Kaufman Canada 7 215 0.8× 143 2.6× 36 1.0× 53 1.7× 13 0.4× 13 478
Victor L. Cestaro United States 7 146 0.5× 84 1.5× 21 0.6× 52 1.7× 136 4.5× 7 334
Xiaobin Zhang China 10 203 0.7× 46 0.8× 45 1.2× 26 0.8× 9 0.3× 29 351

Countries citing papers authored by Martin R. Ford

Since Specialization
Citations

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

Fields of papers citing papers by Martin R. Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin R. Ford

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

All Works

20 of 20 papers shown
1.
Ford, Martin R.. (2018). The Rise of the Robots. Cornell University Press eBooks. 27–45. 8 indexed citations
2.
Ford, Martin R.. (2013). Could artificial intelligence create an unemployment crisis?. Communications of the ACM. 56(7). 37–39. 39 indexed citations
3.
Fuchs, M., Martin R. Ford, Stephen F. Sands, & Henry L. Lew. (2004). Overview of dipole source localization. Physical Medicine and Rehabilitation Clinics of North America. 15(1). 251–262. 15 indexed citations
4.
Ford, Martin R., Stephen F. Sands, & Henry L. Lew. (2004). Overview of artifact reduction and removal in evoked potential and event-related potential recordings. Physical Medicine and Rehabilitation Clinics of North America. 15(1). 1–17. 16 indexed citations
5.
Ford, Martin R., et al.. (1996). Evoked Potential Findings in Mild Traumatic Brain Injury 1: Middle Latency Component Augmentation and Cognitive Component Attenuation. Journal of Head Trauma Rehabilitation. 11(3). 1–15. 23 indexed citations
6.
Sidman, Robert D., et al.. (1996). The effect of reference-electrode choice on the spatial resolution of topographical potential maps in the discrimination of deep cerebral sources. Journal of Neuroscience Methods. 68(2). 175–184. 2 indexed citations
7.
Ford, Martin R., et al.. (1996). Evoked Potential Findings in Mild Traumatic Brain Injury 2: Scoring System and Individual Discrimination. Journal of Head Trauma Rehabilitation. 11(3). 16–21. 5 indexed citations
8.
Ford, Martin R., et al.. (1993). Spatio-temporal progression of the AEP P300 component using the cortical imaging technique. Brain Topography. 6(1). 43–50. 5 indexed citations
9.
Sidman, Robert D., et al.. (1991). Age-related features of the resting pattern-reversal visual evoked response using the dipole localization method and cortical imaging technique. Journal of Neuroscience Methods. 37(1). 27–36. 8 indexed citations
10.
Sidman, Robert D., et al.. (1990). Age-related features of the resting and P300 auditory evoked responses using the dipole localization method and cortical imaging technique. Journal of Neuroscience Methods. 33(1). 23–32. 33 indexed citations
11.
Glueck, Bernard, et al.. (1988). Computer Analysis of the Electroencephalogram. Psychiatric Annals. 18(4). 236–245. 2 indexed citations
12.
Sidman, Robert D., et al.. (1988). Analysis of Normal and Abnormal Auditory and Visual Evoked Responses Using the Dipole Localization Method and a New Imaging Technique. Journal of Clinical Neurophysiology. 5(4). 347–347. 2 indexed citations
13.
Ford, Martin R., John W. Goethe, & Debra Dekker. (1986). EEG coherence and power changes during a continuous movement task. International Journal of Psychophysiology. 4(2). 99–110. 28 indexed citations
14.
Ford, Martin R., John W. Goethe, & Debra Dekker. (1986). EEG coherence and power in the discrimination of psychiatric disorders and medication effects. Biological Psychiatry. 21(12). 1175–1188. 72 indexed citations
15.
Ford, Martin R.. (1985). Interpersonal stress and style as predictors of biofeedback/relaxation training outcome: Preliminary findings. Applied Psychophysiology and Biofeedback. 10(3). 223–239. 1 indexed citations
16.
Ford, Martin R., et al.. (1983). Quieting response training: Predictors of long-term outcome. Applied Psychophysiology and Biofeedback. 8(3). 393–408. 4 indexed citations
17.
Ford, Martin R.. (1982). Biofeedback treatment for headaches, Raynaud's disease, essential hypertension, and irritable bowel syndrome: A review of the long-term follow-up literature. Applied Psychophysiology and Biofeedback. 7(4). 521–536. 13 indexed citations
18.
Mirabile, Charles S. & Martin R. Ford. (1982). A Clinically Useful Polling Technique for Assessing Susceptibility to Motion Sickness. Perceptual and Motor Skills. 54(3). 987–991. 6 indexed citations
19.
Bird, Bruce, et al.. (1978). Biofeedback training of 40-Hz EEG in humans. Applied Psychophysiology and Biofeedback. 3(1). 1–11. 32 indexed citations
20.
Bird, Bruce, et al.. (1978). Behavioral and electroencephalographic correlates of 40-Hz EEG biofeedback training in humans. Applied Psychophysiology and Biofeedback. 3(1). 13–28. 15 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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