Ben‐Tzion Karsh

72 papers receiving 3.4k citations

Hit Papers

The Technology Acceptance Model: Its past and its future ...2009202620142020200950010001.5k

Peers

Ben‐Tzion Karsh
Comparison fields: 5 of 160
  • General Health Professions 1.0k
  • Health Information Management 794
  • Information Systems and Management 667
  • Emergency Medical Services 542
  • Radiological and Ultrasound Technology 393
Replace Richard Holden with:
Richard Holden United States
B.-T. Karsh United States
Patrícia Flatley Brennan United States
Emily S. Patterson United States
Yan Xiao United States
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Peter Hoonakker United States
André Kushniruk Canada
Todd R. Johnson United States
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Ben‐Tzion Karsh relative to Richard Holden United States Richard Holden's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ben‐Tzion Karsh

Since Specialization
Citations

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

Fields of papers citing papers by Ben‐Tzion Karsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben‐Tzion Karsh. 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 Ben‐Tzion Karsh. The network helps show where Ben‐Tzion Karsh may publish in the future.

Co-authorship network of co-authors of Ben‐Tzion Karsh

This figure shows the co-authorship network connecting the top 25 collaborators of Ben‐Tzion Karsh. A scholar is included among the top collaborators of Ben‐Tzion Karsh 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 Ben‐Tzion Karsh. Ben‐Tzion Karsh 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
#WorkIndexed citations
1 8
2 70
3 64
4 30
5 56
6 42
7 42
8 34
9 64
10 1
11 6
12
The Technology Acceptance Model: Its past and its future in health carebreakdown →
1651
13 7
14 94
15 35
16 16
17 77
18 30
19 46
20
Psychosocial Work Factors and Musculoskeletal Disorders in Office Workers: An Examination of the Mediating Role of Stress
1

About Ben‐Tzion Karsh

Ben‐Tzion Karsh is a scholar working on Medical Laboratory Technology, Health Information Management and Emergency Medical Services, having authored 73 papers that have together received 3.6k indexed citations. Recurring topics across this work include Patient Safety and Medication Errors (26 papers), Electronic Health Records Systems (16 papers) and Quality and Safety in Healthcare (15 papers). The work is most often cited by research in Medical Laboratory Technology (299 citations), Health Information Management (794 citations) and Information Systems and Management (667 citations). Ben‐Tzion Karsh has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Richard Holden, Samuel J. Alper, Matthew C. Scanlon, John W. Beasley, Roger Brown, Michael J. Smith, Richard J. Holden, Kamisha Hamilton Escoto, Pascale Carayon and Patrick Waterson. Their work appears in journals such as Critical Care Medicine, International Journal of Radiation Oncology*Biology*Physics and Journal of General Internal Medicine.

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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