Dale A. Hirsch

659 total citations · 1 hit paper
6 papers, 288 citations indexed

About

Dale A. Hirsch is a scholar working on Occupational Therapy, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Dale A. Hirsch has authored 6 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Occupational Therapy, 2 papers in Cognitive Neuroscience and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Dale A. Hirsch's work include Occupational Health and Performance (2 papers), Sleep and related disorders (2 papers) and Healthcare professionals’ stress and burnout (1 paper). Dale A. Hirsch is often cited by papers focused on Occupational Health and Performance (2 papers), Sleep and related disorders (2 papers) and Healthcare professionals’ stress and burnout (1 paper). Dale A. Hirsch collaborates with scholars based in United States and Australia. Dale A. Hirsch's co-authors include Rachel R. Markwald, Jason Jameson, Sean P. A. Drummond, Sara C. Bessman, Joseph Cuellar, Evan D. Chinoy, Catherine Watson, Christopher A. Was, Dan J. Woltz and Michael D. Young and has published in prestigious journals such as Scientific Reports, SLEEP and Memory & Cognition.

In The Last Decade

Dale A. Hirsch

6 papers receiving 283 citations

Hit Papers

align trajectories sort by overperformance

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.

Performance of seven consumer sleep-tracking devices compared with polysomnography

2020 264 citations Evan D. Chinoy, Joseph Cuellar et al. SLEEP profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dale A. Hirsch United States	4	192	136	94	48	32	6	288
Joseph Cuellar United States	3	245 1.3×	164 1.2×	114 1.2×	54 1.1×	41 1.3×	6	344
Seema Khosla United States	7	179 0.9×	132 1.0×	166 1.8×	85 1.8×	39 1.2×	11	346
Peter M. Fowler Australia	14	227 1.2×	155 1.1×	97 1.0×	23 0.5×	20 0.6×	15	529
Hsen Hsouna Tunisia	12	190 1.0×	86 0.6×	182 1.9×	97 2.0×	9 0.3×	17	370
Laura E. Juliff Australia	8	306 1.6×	224 1.6×	109 1.2×	24 0.5×	10 0.3×	8	475
Margeaux M. Schade United States	8	137 0.7×	118 0.9×	85 0.9×	33 0.7×	34 1.1×	15	261
Raghu Upender United States	9	90 0.5×	95 0.7×	129 1.4×	64 1.3×	19 0.6×	15	253
Raouf Abdessalem Tunisia	12	174 0.9×	80 0.6×	148 1.6×	79 1.6×	7 0.2×	16	319
Peter Fowler Australia	9	159 0.8×	107 0.8×	55 0.6×	16 0.3×	8 0.3×	16	279
Sarah Inkelis United States	7	141 0.7×	86 0.6×	70 0.7×	26 0.5×	13 0.4×	9	275

Countries citing papers authored by Dale A. Hirsch

Since Specialization

Citations

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

Fields of papers citing papers by Dale A. Hirsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dale A. Hirsch. 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 Dale A. Hirsch. The network helps show where Dale A. Hirsch may publish in the future.

Co-authorship network of co-authors of Dale A. Hirsch

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

All Works

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6 of 6 papers shown

1.

Young, Michael D., et al.. (2023). Developing a mental toughness program for basic military training. Military Psychology. 36(2). 203–213. 1 indexed citations

2.

Biggs, Adam T., Joel Suss, Timothy L. Dunn, et al.. (2021). Perception during use of force and the likelihood of firing upon an unarmed person. Scientific Reports. 11(1). 13313–13313. 5 indexed citations

3.

Hirsch, Dale A., et al.. (2021). Using Monte Carlo simulations to translate military and law enforcement training results to operational metrics. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 19(3). 403–415. 9 indexed citations

4.

Chinoy, Evan D., Joseph Cuellar, Jason Jameson, et al.. (2020). Performance of seven consumer sleep-tracking devices compared with polysomnography. SLEEP. 44(5). 264 indexed citations breakdown →

5.

Chinoy, Evan D., Sara C. Bessman, Joseph Cuellar, et al.. (2019). 1002 Examination of Wearable and Non-Wearable Consumer Sleep-Tracking Devices Versus Polysomnography. SLEEP. 42(Supplement_1). A403–A404. 2 indexed citations

6.

Was, Christopher A., Dan J. Woltz, & Dale A. Hirsch. (2018). Memory processes underlying long-term semantic priming. Memory & Cognition. 47(2). 313–325. 7 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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