Eileen Koski

16 papers receiving 258 citations

Peers

Eileen Koski
Comparison fields: 5 of 57
  • Health Informatics 67
  • Genetics 68
  • Health Information Management 10
  • Endocrinology, Diabetes and Metabolism 32
  • Family Practice 3
Replace Brenda Y. Miao with:
Brenda Y. Miao United States
M.C. Ploem Netherlands
Bryant Lin United States
Chalanda N. Evans United States
Rachele Hendricks‐Sturrup United States
Iuliu Fulga Romania
Sara Watson United States
Mitchell Tang United States
Martin Langanke Germany
Sreekar Mantena United States
Eileen Koski relative to Brenda Y. Miao United States Brenda Y. Miao's profile →
Citations per field
00.5×5.7×
Brenda Y. Miao · 1×
Citations per year

Countries citing papers authored by Eileen Koski

Since Specialization
Citations

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

Fields of papers citing papers by Eileen Koski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202183
2 202168
3 202150
4 202223
5 201613
6 20249
7 20224
8 20223
9 20241
10 20251
11 19981
12
Investigating Cross-Domain Binary Relation Classification in Biomedical Natural Language Processing.
20241
13
Subtyping Gastrointestinal Surgical Outcomes from Real World Data: A Comprehensive Analysis of UK Biobank.
20231
14
The use of data mining to investigate a possible quality problem with ultrasensitive HIV viral load data at a large reference laboratory.
20031
15 20231
16
Exploring the Role of Quest Diagnostics Corporate Data Warehouse for Timely Influenza Surveillance
20061
17 20240
18
Simulating Screening for Risk of Childhood Diabetes: The Collaborative Open Outcomes tooL (COOL).
20210

About Eileen Koski

Eileen Koski is a scholar working on Genetics, Surgery, Epidemiology, Endocrinology, Diabetes and Metabolism and Information Systems, having authored 18 papers that have together received 261 indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Diabetes Management and Research (3 papers), Pancreatic function and diabetes (3 papers), Colorectal Cancer Screening and Detection (2 papers), Data-Driven Disease Surveillance (2 papers), Topic Modeling (2 papers), Inflammatory Bowel Disease (2 papers) and Health and Medical Research Impacts (1 paper). The work is most often cited by research in Health Informatics (67 citations), Genetics (68 citations), Health Information Management (10 citations), Endocrinology, Diabetes and Metabolism (32 citations) and Family Practice (3 citations). Eileen Koski has collaborated with scholars based in United States, Finland and Ireland. Frequent co-authors include Jianying Hu, Moninder Singh, Irene Dankwa‐Mullan, Amar K. Das, Issa Sylla, Yoonyoung Park, Shireen M. Atabaki, Joseph Kannry, John D. McGreevey and Anthony Solomonides. Their work appears in journals such as Nature Communications, Journal of the American Medical Informatics Association, The Journal of Clinical Endocrinology & Metabolism, International Journal of Medical Informatics and npj Digital 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.

Explore authors with similar magnitude of impact