Mary Saltz

71 total papers · 836 total citations
18 papers, 323 citations indexed

About

Mary Saltz is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Mary Saltz has authored 18 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Public Health, Environmental and Occupational Health and 5 papers in Epidemiology. Recurrent topics in Mary Saltz's work include Opioid Use Disorder Treatment (7 papers), Machine Learning in Healthcare (6 papers) and Substance Abuse Treatment and Outcomes (4 papers). Mary Saltz is often cited by papers focused on Opioid Use Disorder Treatment (7 papers), Machine Learning in Healthcare (6 papers) and Substance Abuse Treatment and Outcomes (4 papers). Mary Saltz collaborates with scholars based in United States. Mary Saltz's co-authors include Joel Saltz, Fusheng Wang, Sina Rashidian, Janos Hajagos, Richard N. Rosenthal, Yu Wang, Wei Hou, Jonas S. Almeida, Jianyuan Deng and Ashish Sharma and has published in prestigious journals such as Cancer Research, Scientific Reports and American Journal of Preventive Medicine.

In The Last Decade

Mary Saltz

18 papers receiving 316 citations

Author Peers

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

Author Last Decade Papers Cites
Mary Saltz 111 102 81 55 30 18 323
Shengpu Tang 79 0.7× 41 0.4× 58 0.7× 33 0.6× 30 1.0× 10 226
Xuan Song 47 0.4× 54 0.5× 53 0.7× 51 0.9× 9 0.3× 28 365
Brihat Sharma 103 0.9× 118 1.2× 80 1.0× 16 0.3× 15 0.5× 21 309
Wenyu Song 28 0.3× 43 0.4× 43 0.5× 19 0.3× 12 0.4× 28 259
Miguel Ángel Armengol de la Hoz 44 0.4× 27 0.3× 63 0.8× 26 0.5× 13 0.4× 24 282
Suzanne V. Blackley 74 0.7× 49 0.5× 28 0.3× 45 0.8× 12 0.4× 25 345
Lisa Stephens 83 0.7× 106 1.0× 29 0.4× 46 0.8× 4 0.1× 20 356
Jonathon Stewart 57 0.5× 38 0.4× 35 0.4× 97 1.8× 7 0.2× 21 311
Peter A.D. Steel 52 0.5× 42 0.4× 29 0.4× 71 1.3× 49 1.6× 32 284
Carl Preiksaitis 62 0.6× 68 0.7× 60 0.7× 63 1.1× 21 0.7× 23 347

Countries citing papers authored by Mary Saltz

Since Specialization
Citations

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

Fields of papers citing papers by Mary Saltz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Saltz

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Saltz. A scholar is included among the top collaborators of Mary Saltz 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 Mary Saltz. Mary Saltz 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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