David J. Robinson

975 total citations
26 papers, 692 citations indexed

About

David J. Robinson is a scholar working on Information Systems and Management, Emergency Medical Services and Surgery. According to data from OpenAlex, David J. Robinson has authored 26 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems and Management, 5 papers in Emergency Medical Services and 4 papers in Surgery. Recurrent topics in David J. Robinson's work include Personal Information Management and User Behavior (5 papers), Patient Safety and Medication Errors (5 papers) and Business Process Modeling and Analysis (3 papers). David J. Robinson is often cited by papers focused on Personal Information Management and User Behavior (5 papers), Patient Safety and Medication Errors (5 papers) and Business Process Modeling and Analysis (3 papers). David J. Robinson collaborates with scholars based in United States, Australia and Canada. David J. Robinson's co-authors include Juliana J. Brixey, James P. Turley, Todd R. Johnson, Jiajie Zhang, Craig Johnson, Vimla L. Patel, Zhihua Tang, Amy Franklin, Brent R. King and Jiajie Zhang and has published in prestigious journals such as Journal of Magnetism and Magnetic Materials, Annals of Emergency Medicine and Gynecologic Oncology.

In The Last Decade

David J. Robinson

26 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David J. Robinson United States	14	204	179	139	125	119	26	692
Juliana J. Brixey United States	11	245 1.2×	185 1.0×	99 0.7×	146 1.2×	140 1.2×	30	592
James P. Turley United States	15	252 1.2×	191 1.1×	183 1.3×	182 1.5×	154 1.3×	54	874
Simon Y. W. Li Australia	13	112 0.5×	184 1.0×	63 0.5×	147 1.2×	38 0.3×	26	552
Shawna J. Perry United States	21	372 1.8×	40 0.2×	250 1.8×	146 1.2×	362 3.0×	68	1.1k
Noa Segall United States	14	190 0.9×	21 0.1×	111 0.8×	164 1.3×	222 1.9×	41	798
Ben-Tzion Karsh United States	7	167 0.8×	97 0.5×	254 1.8×	89 0.7×	30 0.3×	8	798
Jonathan Back United Kingdom	13	110 0.5×	88 0.5×	25 0.2×	47 0.4×	47 0.4×	30	551
Meghan Dierks United States	11	328 1.6×	37 0.2×	86 0.6×	170 1.4×	84 0.7×	23	942
A. Joy Rivera United States	10	123 0.6×	33 0.2×	109 0.8×	66 0.5×	17 0.1×	25	365
Jenna L. Marquard United States	13	120 0.6×	16 0.1×	210 1.5×	92 0.7×	32 0.3×	75	607

Countries citing papers authored by David J. Robinson

Since Specialization

Citations

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

Fields of papers citing papers by David J. Robinson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Robinson. 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 David J. Robinson. The network helps show where David J. Robinson may publish in the future.

Co-authorship network of co-authors of David J. Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Robinson. A scholar is included among the top collaborators of David J. Robinson 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 David J. Robinson. David J. Robinson 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

Franklin, Amy, Todd R. Johnson, David J. Robinson, et al.. (2017). Dashboard visualizations: Supporting real-time throughput decision-making. Journal of Biomedical Informatics. 71. 211–221. 73 indexed citations

Montealegre, Jane R., Matthew L. Anderson, Sandra Williams, et al.. (2015). Acceptability of self-sample human papillomavirus testing among medically underserved women visiting the emergency department. Gynecologic Oncology. 138(2). 317–322. 20 indexed citations

Tao, Cui, et al.. (2014). A work domain ontology for modeling emergency department workflow. 1320. 1 indexed citations

Vasilevsky, Nicole, Todd R. Johnson, Carlo Torniai, et al.. (2012). Research resources: curating the new eagle-i discovery system. Database. 2012(0). bar067–bar067. 22 indexed citations

Schauer, Guido F., David J. Robinson, & Vimla L. Patel. (2011). Right diagnosis, wrong care: patient management reasoning errors in emergency care computer-based case simulations.. PubMed. 2011. 1224–32. 3 indexed citations

Franklin, Amy, Ying Liu, Todd R. Johnson, et al.. (2011). Opportunistic decision making and complexity in emergency care. Journal of Biomedical Informatics. 44(3). 469–476. 54 indexed citations

Kannampallil, Thomas, Min Zhang, Trevor Cohen, et al.. (2011). Making sense: Sensor-based investigation of clinician activities in complex critical care environments. Journal of Biomedical Informatics. 44(3). 441–454. 30 indexed citations

Robinson, David J., et al.. (2010). 375: UObserve: A Mobile App for the Study of Emergency Department Workflow. Annals of Emergency Medicine. 56(3). S121–S121. 3 indexed citations

Robinson, David J.. (2009). Reel psychiatry. International Review of Psychiatry. 21(3). 245–260. 4 indexed citations

10.

Brixey, Juliana J., David J. Robinson, James P. Turley, & Jiajie Zhang. (2008). The roles of MDs and RNs as initiators and recipients of interruptions in workflow. International Journal of Medical Informatics. 79(6). e109–e115. 48 indexed citations

11.

Brixey, Juliana J., David J. Robinson, James P. Turley, & Jiajie Zhang. (2007). Initiators of interruption in workflow: the role of MDs and RNs.. PubMed. 130. 103–9. 5 indexed citations

12.

Brixey, Juliana J., David J. Robinson, Craig Johnson, et al.. (2007). A Concept Analysis of the Phenomenon Interruption. Advances in Nursing Science. 30(1). E26–E42. 132 indexed citations

13.

Brixey, Juliana J., David J. Robinson, James P. Turley, & Jiajie Zhang. (2007). Initiators and recipients of interruption in workflow: a role-based event.. PubMed. 883–883. 1 indexed citations

14.

Brixey, Juliana J., Zhihua Tang, David J. Robinson, et al.. (2007). Interruptions in a level one trauma center: A case study. International Journal of Medical Informatics. 77(4). 235–241. 113 indexed citations

15.

Brixey, Juliana J., David J. Robinson, Craig Johnson, et al.. (2006). Towards a hybrid method to categorize interruptions and activities in healthcare. International Journal of Medical Informatics. 76(11-12). 812–820. 53 indexed citations

16.

Brixey, Juliana J., David J. Robinson, Zhihua Tang, et al.. (2005). Interruptions in workflow for RNs in a Level One Trauma Center.. PubMed. 86–90. 42 indexed citations

17.

Robinson, David J.. (2003). Reel Psychiatry: Movie Portrayals of Psychiatric Conditions. 18 indexed citations

18.

Robinson, David J., et al.. (2002). Is On-Line education the future for universities?. 2. 131–145. 2 indexed citations

19.

Robinson, David J.. (2000). For: Thrombolytics in stroke: whose risk is it anyway?. Western Journal of Medicine. 173(3). 148–149. 4 indexed citations

20.

Robinson, David J., et al.. (1998). A Binaural Simulation Which Renders Out-of-Head Localization with Low-Cost Digital Signal Processing of Head-Related-Transfer Functions and Pseudo Reverberation. Journal of the Audio Engineering Society. 4 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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