Daniel Schatz

1.0k citations
38 papers · 739 · h-index 13

Impact in

Papers in

Daniel Schatz

35 papers receiving 701 citations

Peers

Daniel Schatz
Comparison fields: 5 of 114
  • Public Health, Environmental and Occupational Health 212
  • Information Systems 157
  • Management Information Systems 28
  • Computer Networks and Communications 72
  • General Health Professions 66
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Martin Michalowski United States
Ali Garavand Iran
‎Sima Ajami‎ Iran
Saira Ghafur United Kingdom
Nicolas P Terry United States
Mostafa Langarizadeh Iran
Carlos Luís Parra-Calderón Spain
David K. Wyant United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Schatz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Schatz. 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 Daniel Schatz. The network helps show where Daniel Schatz may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Schatz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Schatz Line = papers co-authored together Daniel Schatz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017128
2 2020114
3 202058
4 202155
5 201645
6 201943
7 202142
8 201642
9 201929
10 201227
11 202219
12 202115
13 201914
14 202111
15 202210
16 202110
17 20209
18 20189
19 20227
20 20196

About Daniel Schatz

Daniel Schatz is a scholar working on Public Health, Environmental and Occupational Health, Information Systems, General Health Professions, Physiology and Management Information Systems, having authored 38 papers that have together received 739 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (11 papers), Information and Cyber Security (7 papers), Smoking Behavior and Cessation (4 papers), Cybercrime and Law Enforcement Studies (4 papers), Substance Abuse Treatment and Outcomes (3 papers), Network Security and Intrusion Detection (3 papers), Metal and Thin Film Mechanics (3 papers) and Corrosion Behavior and Inhibition (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (212 citations), Information Systems (157 citations), Management Information Systems (28 citations), Computer Networks and Communications (72 citations) and General Health Professions (66 citations). Daniel Schatz has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Rabih Bashroush, Julie Wall, Jennifer McNeely, Babak Tofighi, Scott E. Sherman, Omar El Shahawy, Richard S. Matulewicz, Marc A. Bjurlin, Maria R. Khan and Joy D. Scheidell. Their work appears in journals such as Journal of Addiction Medicine, Drug and Alcohol Dependence, Applied Surface Science, Cancer Epidemiology and Substance Use & Misuse.

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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