Katherine E Goodman

49 papers receiving 1.4k citations

Katherine E Goodman's Hit Papers

What is Machine Learning? A Primer for the Epidemiologist 2019 · 345 citations
3450+2+4Years since publication100200300

Peers

Katherine E Goodman
Comparison fields: 5 of 142
  • Applied Microbiology and Biotechnology 182
  • Molecular Medicine 415
  • Health Informatics 86
  • Clinical Biochemistry 145
  • Endocrinology 113
Replace Gabriel Birgand with:
Gabriel Birgand France
Makoto Jones United States
Mauro Giacomini Italy
Saad Alhumaid Saudi Arabia
Payal Patel United States
Nathan Peiffer‐Smadja France
Mohammed Garout Saudi Arabia
Timothy L. Wiemken United States
Anthony Harris United States
Sarah R Deeny United Kingdom
Katherine E Goodman relative to Gabriel Birgand France Gabriel Birgand's profile →
Citations per field
00.5×1.7×
Gabriel Birgand · 1×
Citations per year

Countries citing papers authored by Katherine E Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Katherine E Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine E Goodman. 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 Katherine E Goodman. The network helps show where Katherine E Goodman may publish in the future.

Co-authors

The 25 scholars most cited alongside Katherine E Goodman, 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 Katherine E Goodman Line = papers co-authored together Katherine E Goodman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
What is Machine Learning? A Primer for the Epidemiologist
Hit paper breakdown →
2019345
2 2016302
3 2016133
4 202061
5 202456
6 202141
7 201937
8 202036
9 201933
10 202331
11 202330
12 201922
13 202121
14 201820
15 202220
16 202119
17 202219
18 202118
19 201815
20 202015

About Katherine E Goodman

Katherine E Goodman is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Epidemiology, Molecular Medicine and Artificial Intelligence, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (10 papers), Antibiotic Resistance in Bacteria (8 papers), Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Pneumonia and Respiratory Infections (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), COVID-19 Impact on Reproduction (3 papers) and Electronic Health Records Systems (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (182 citations), Molecular Medicine (415 citations), Health Informatics (86 citations), Clinical Biochemistry (145 citations) and Endocrinology (113 citations). Katherine E Goodman has collaborated with scholars based in United States, Canada and Nigeria. Frequent co-authors include Justin Lessler, Pranita D. Tamma, Qifang Bi, Joshua Kaminsky, Anthony Harris, Patricia J. Simner, Tsigereda Tekle, Anthony D. Harris, Aaron M. Milstone and Sara E. Cosgrove. Their work appears in journals such as Clinical Infectious Diseases, Infection Control and Hospital Epidemiology, Open Forum Infectious Diseases, New England Journal of Medicine and Antimicrobial Agents and Chemotherapy.

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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