Samuel J. Alper

22 total papers · 1.1k total citations
15 papers, 799 citations indexed

About

Samuel J. Alper is a scholar working on Emergency Medical Services, Health Information Management and Medical Laboratory Technology. According to data from OpenAlex, Samuel J. Alper has authored 15 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Emergency Medical Services, 6 papers in Health Information Management and 5 papers in Medical Laboratory Technology. Recurrent topics in Samuel J. Alper's work include Patient Safety and Medication Errors (10 papers), Electronic Health Records Systems (6 papers) and Quality and Safety in Healthcare (5 papers). Samuel J. Alper is often cited by papers focused on Patient Safety and Medication Errors (10 papers), Electronic Health Records Systems (6 papers) and Quality and Safety in Healthcare (5 papers). Samuel J. Alper collaborates with scholars based in United States and Sweden. Samuel J. Alper's co-authors include Richard Holden, Ben‐Tzion Karsh, Calvin Kalun Or, Matthew C. Scanlon, Neal Patel, B.-T. Karsh, Kamisha Hamilton Escoto, Theresa M. Shalaby, Kathleen Murkowski and Richard L. Brown and has published in prestigious journals such as Accident Analysis & Prevention, Ergonomics and Applied Ergonomics.

In The Last Decade

Samuel J. Alper

14 papers receiving 759 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Samuel J. Alper	294	217	208	174	136	15	799
Joseph DeRosier	526 1.8×	86 0.4×	112 0.5×	169 1.0×	153 1.1×	15	1.0k
Anping Xie	224 0.8×	121 0.6×	202 1.0×	139 0.8×	94 0.7×	55	851
Jami L. DelliFraine	141 0.5×	110 0.5×	264 1.3×	142 0.8×	81 0.6×	38	978
Tjerk van der Schaaf	458 1.6×	236 1.1×	117 0.6×	167 1.0×	120 0.9×	14	911
Shoutzu Lin	466 1.6×	305 1.4×	109 0.5×	144 0.8×	45 0.3×	17	1.0k
Alan J. Card	267 0.9×	116 0.5×	329 1.6×	109 0.6×	104 0.8×	27	793
Karin Pukk Härenstam	372 1.3×	79 0.4×	196 0.9×	118 0.7×	42 0.3×	52	867
Anam Parand	301 1.0×	122 0.6×	315 1.5×	228 1.3×	52 0.4×	25	932
Jennifer Hayes	221 0.8×	128 0.6×	136 0.7×	87 0.5×	25 0.2×	26	815
Jesia G. Berry	245 0.8×	74 0.3×	225 1.1×	87 0.5×	31 0.2×	33	1.0k

Countries citing papers authored by Samuel J. Alper

Since Specialization

Citations

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

Fields of papers citing papers by Samuel J. Alper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel J. Alper

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

All Works

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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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