Corey M. Benedum

570 citations
17 papers · 348 indexed · h-index 11
Topics
Pregnancy and preeclampsia studies (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Machine Learning in Healthcare (3 papers)
Partner nations
United States

In The Last Decade

Corey M. Benedum

16 papers receiving 333 citations

Peers

Corey M. Benedum
Comparison fields: 5 of 91
  • Public Health, Environmental and Occupational Health 172
  • Infectious Diseases 96
  • Modeling and Simulation 57
  • Epidemiology 46
  • Artificial Intelligence 34
Replace Giovenale Moirano with:
Giovenale Moirano Italy
Melvin Joy India
Zhuoru Zou China
Javier Vargas-Herrera Peru
Sangeeta Bhatia United Kingdom
Jacqueline L. Gerhart United States
Andreas Andersen Denmark
David A. Forero‐Peña Venezuela
Michelle E. Roh United States
Corey M. Benedum relative to Giovenale Moirano Italy Giovenale Moirano's profile →
Citations per field
00.5×10×16×
Giovenale Moirano · 1×
Citations per year

Countries citing papers authored by Corey M. Benedum

Since Specialization
Citations

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

Fields of papers citing papers by Corey M. Benedum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Corey M. Benedum. 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 Corey M. Benedum. The network helps show where Corey M. Benedum may publish in the future.

Co-authorship network of co-authors of Corey M. Benedum

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 17
5 43
6 15
7 1
8 1
9 26
10 21
11 27
12 102
13 5
14 10
15 38
16 23
17 16

About Corey M. Benedum

Corey M. Benedum is a scholar working on Health Informatics, Health Information Management and Obstetrics and Gynecology, having authored 17 papers that have together received 348 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Modeling and Simulation (57 citations), Health Informatics (11 citations) and Public Health, Environmental and Occupational Health (172 citations). Corey M. Benedum has collaborated with scholars based in United States. Frequent co-authors include Natasha Markuzon, Elfatih A. B. Eltahir, Osama M. E. Seidahmed, Allen A. Mitchell, Martha M. Werler, Mahsa M. Yazdy, Melissa Estévez, Aaron B. Cohen, Louis Y. Kim and Kimberly M. Shea. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and American Journal of Epidemiology.

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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