Vicki L. Schechtman

1.7k total citations
32 papers, 1.4k citations indexed

About

Vicki L. Schechtman is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Vicki L. Schechtman has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Endocrine and Autonomic Systems, 20 papers in Cardiology and Cardiovascular Medicine and 10 papers in Biomedical Engineering. Recurrent topics in Vicki L. Schechtman's work include Neuroscience of respiration and sleep (29 papers), Heart Rate Variability and Autonomic Control (20 papers) and Non-Invasive Vital Sign Monitoring (10 papers). Vicki L. Schechtman is often cited by papers focused on Neuroscience of respiration and sleep (29 papers), Heart Rate Variability and Autonomic Control (20 papers) and Non-Invasive Vital Sign Monitoring (10 papers). Vicki L. Schechtman collaborates with scholars based in United States, United Kingdom and Bulgaria. Vicki L. Schechtman's co-authors include Ronald M. Harper, D P Southall, Adrian J. Wilson, Rebecca K. Harper, Andrew Wilson, Howard J. Hoffman, Michael Regalado, Steven F. Glotzbach, Gabriel Aljadeff and James J. McKenna and has published in prestigious journals such as PEDIATRICS, Annals of the New York Academy of Sciences and SLEEP.

In The Last Decade

Vicki L. Schechtman

32 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vicki L. Schechtman United States 21 897 597 323 294 292 32 1.4k
Toke Hoppenbrouwers United States 23 1.1k 1.2× 269 0.5× 418 1.3× 132 0.4× 457 1.6× 62 1.5k
José Groswasser Belgium 22 1.2k 1.4× 252 0.4× 312 1.0× 76 0.3× 327 1.1× 63 1.5k
Sonia Scaillet Belgium 19 849 0.9× 184 0.3× 213 0.7× 48 0.2× 214 0.7× 35 1.0k
L. Curzi-Dascalova France 14 444 0.5× 134 0.2× 398 1.2× 101 0.3× 602 2.1× 36 1.0k
K Javorka Slovakia 21 211 0.2× 999 1.7× 196 0.6× 414 1.4× 142 0.5× 86 1.4k
J. Andrew Daubenspeck United States 18 418 0.5× 156 0.3× 208 0.6× 61 0.2× 55 0.2× 50 1.0k
E. Rebuffat Belgium 17 698 0.8× 95 0.2× 269 0.8× 15 0.1× 184 0.6× 36 1.1k
J. R. Romaniuk United States 17 518 0.6× 118 0.2× 98 0.3× 63 0.2× 25 0.1× 72 870
Mark Peucker United States 16 475 0.5× 42 0.1× 76 0.2× 80 0.3× 334 1.1× 24 937
Kyoko Nishihara Japan 16 172 0.2× 103 0.2× 304 0.9× 77 0.3× 176 0.6× 33 739

Countries citing papers authored by Vicki L. Schechtman

Since Specialization
Citations

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

Fields of papers citing papers by Vicki L. Schechtman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vicki L. Schechtman

This figure shows the co-authorship network connecting the top 25 collaborators of Vicki L. Schechtman. A scholar is included among the top collaborators of Vicki L. Schechtman 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 Vicki L. Schechtman. Vicki L. Schechtman 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.
Regalado, Michael, et al.. (2001). Spectral analysis of heart rate variability and respiration during sleep in cocaine‐exposed neonates. Clinical Physiology. 21(4). 428–436. 25 indexed citations
2.
Regalado, Michael, et al.. (1998). Sources of Heart Rate Variation during Sleep in Cocaine‐Exposed Neonatesa. Annals of the New York Academy of Sciences. 846(1). 415–418. 4 indexed citations
3.
Schechtman, Vicki L., et al.. (1998). Developmental patterns of heart rate and variability in infants with persistent apnea of infancy. Early Human Development. 50(3). 251–262. 9 indexed citations
4.
Schechtman, Vicki L., et al.. (1997). Sleep State Effects on Nonpanting Breathing During Preoptic/Anterior Hypothalamic Warming in Cats and Kittens. SLEEP. 20(1). 1–10. 1 indexed citations
5.
Schechtman, Vicki L., et al.. (1997). Developmental patterns of heart rate and variability in prematurely-born infants with apnea of prematurity. Early Human Development. 47(1). 35–50. 25 indexed citations
6.
Aljadeff, Gabriel, David Gozal, Vicki L. Schechtman, et al.. (1997). Heart Rate Variability in Children With Obstructive Sleep Apnea. SLEEP. 20(2). 151–157. 136 indexed citations
7.
Regalado, Michael, et al.. (1996). Cardiac and respiratory patterns during sleep in cocaine-exposed neonates. Early Human Development. 44(3). 187–200. 31 indexed citations
8.
Schechtman, Vicki L., Rebecca K. Harper, & Ronald M. Harper. (1995). Aberrant temporal patterning of slow-wave sleep in siblings of SIDS victims. Electroencephalography and Clinical Neurophysiology. 94(2). 95–102. 22 indexed citations
9.
Schechtman, Vicki L., Rebecca K. Harper, & Ronald M. Harper. (1994). Distribution of Slow-Wave EEG Activity Across the Night in Developing Infants. SLEEP. 17(4). 316–322. 20 indexed citations
10.
Zhang, Jingxi, et al.. (1994). Dynamic Respiratory Responses to Preoptic/Anterior Hypothalamic Warming in the Sleeping Cat. SLEEP. 17(8). 657–664. 7 indexed citations
11.
12.
Schechtman, Vicki L., Rebecca K. Harper, & Ronald M. Harper. (1993). Development of Heart Rate Dynamics during Sleep-Waking States in Normal Infants. Pediatric Research. 34(5). 618–623. 31 indexed citations
13.
Schechtman, Vicki L. & Ronald M. Harper. (1993). Minute-by-Minute Association of Heart Rate Variation with Basal Heart Rate in Developing Infants. SLEEP. 16(1). 23–30. 8 indexed citations
14.
Schechtman, Vicki L., Rebecca K. Harper, Alan Garfinkel, et al.. (1992). Dynamic Analysis of Cardiac R-R Intervals in Normal Infants and in Infants Who Subsequently Succumbed to the Sudden Infant Death Syndrome. Pediatric Research. 31(6). 606–612. 148 indexed citations
15.
Schechtman, Vicki L., et al.. (1990). Correlations Between Cardiorespiratory Measures in Normal Infants and Victims of Sudden Infant Death Syndrome. SLEEP. 13(4). 304–317. 18 indexed citations
16.
Schechtman, Vicki L., et al.. (1989). Development of Heart Rate Variation Over the First 6 Months of Life in Normal Infants. Pediatric Research. 26(4). 343–346. 59 indexed citations
17.
Schechtman, Vicki L., et al.. (1989). Heart rate variation in normal infants and victims of the sudden infant death syndrome. Early Human Development. 19(3). 167–181. 74 indexed citations
18.
Harper, Ronald M., et al.. (1988). Spectral Analysis Assessment of Respiratory Sinus Arrhythmia in Normal Infants and Infants Who Subsequently Died of Sudden Infant Death Syndrome. Pediatric Research. 24(6). 677–682. 91 indexed citations
19.
Schechtman, Vicki L., et al.. (1988). Cardiac and Respiratory Patterns in Normal Infants and Victims of the Sudden Infant Death Syndrome. SLEEP. 11(5). 413–496. 81 indexed citations
20.
Schechtman, Vicki L., et al.. (1985). Sleep-waking modulation of respiratory sinus arrhythmia in aged and young adult cats. Experimental Neurology. 88(1). 234–239. 2 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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