Holly Wiberg

1.1k total citations
11 papers, 474 citations indexed

About

Holly Wiberg is a scholar working on Artificial Intelligence, Infectious Diseases and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Holly Wiberg has authored 11 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Infectious Diseases and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Holly Wiberg's work include Machine Learning in Healthcare (3 papers), COVID-19 Clinical Research Studies (3 papers) and Transportation Planning and Optimization (2 papers). Holly Wiberg is often cited by papers focused on Machine Learning in Healthcare (3 papers), COVID-19 Clinical Research Studies (3 papers) and Transportation Planning and Optimization (2 papers). Holly Wiberg collaborates with scholars based in United States, Spain and Italy. Holly Wiberg's co-authors include Dimitris Bertsimas, Agni Orfanoudaki, Luis R. Soenksen, Liangyuan Na, Ignacio Fuentes, Yu Ma, Michael Lingzhi Li, Kimberly Villalobos Carballo, Léonard Boussioux and Cynthia Zeng and has published in prestigious journals such as PLoS ONE, Operations Research and Machine Learning.

In The Last Decade

Holly Wiberg

11 papers receiving 463 citations

Peers

Holly Wiberg

AI

RNMI

HI

ID

ONCOL

İlker Özşahin Cyprus

Michael Lingzhi Li United States

Han Yuan Singapore

Fabian Praßer Germany

Hassaan Malik Pakistan

Toktam Khatibi Iran

Agni Orfanoudaki United States

Huan He United States

Fatema Shaikh Saudi Arabia

Farimah Hadjilooei Iran

İlker Özşahin Cyprus

Holly Wiberg

228 ×1.3

AI

405 ×3.3

RNMI

83 ×1.1

HI

46 ×0.8

ID

35 ×0.7

ONCOL

Citations per year, relative to Holly Wiberg Holly Wiberg (= 1×) peers İlker Özşahin

Countries citing papers authored by Holly Wiberg

Since Specialization

Citations

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

Fields of papers citing papers by Holly Wiberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Holly Wiberg

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

All Works

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11 of 11 papers shown

1.

Wiberg, Holly, et al.. (2023). Mixed-Integer Optimization with Constraint Learning. Operations Research. 73(2). 1011–1028. 21 indexed citations

2.

Soenksen, Luis R., Yu Ma, Cynthia Zeng, et al.. (2022). Integrated multimodal artificial intelligence framework for healthcare applications. npj Digital Medicine. 5(1). 149–149. 145 indexed citations

3.

Wiberg, Holly, et al.. (2021). Prediction of Neutropenic Events in Chemotherapy Patients: A Machine Learning Approach. JCO Clinical Cancer Informatics. 5(5). 904–911. 13 indexed citations

4.

Bertsimas, Dimitris, Luca Mingardi, Omid Nohadani, et al.. (2021). Personalized prescription of ACEI/ARBs for hypertensive COVID-19 patients. Health Care Management Science. 24(2). 339–355. 6 indexed citations

5.

Bertsimas, Dimitris & Holly Wiberg. (2020). Machine Learning in Oncology: Methods, Applications, and Challenges. JCO Clinical Cancer Informatics. 4(4). 885–894. 68 indexed citations

6.

Bertsimas, Dimitris, Galit Lukin, Luca Mingardi, et al.. (2020). COVID-19 mortality risk assessment: An international multi-center study. PLoS ONE. 15(12). e0243262–e0243262. 113 indexed citations

7.

Bertsimas, Dimitris, Galit Lukin, Luca Mingardi, et al.. (2020). COVID-19 Mortality Risk Assessment: An International Multi-Center Study. SSRN Electronic Journal. 1 indexed citations

8.

Bertsimas, Dimitris, Agni Orfanoudaki, & Holly Wiberg. (2020). Interpretable clustering: an optimization approach. Machine Learning. 110(1). 89–138. 56 indexed citations

9.

Bertsimas, Dimitris, Peter T. Masiakos, Konstantinos S. Mylonas, & Holly Wiberg. (2019). Prediction of cervical spine injury in young pediatric patients: an optimal trees artificial intelligence approach. Journal of Pediatric Surgery. 54(11). 2353–2357. 13 indexed citations

10.

Freund, Daniel, et al.. (2016). Simulation optimization for a large-scale bike-sharing system. Winter Simulation Conference. 602–613. 18 indexed citations

11.

Freund, Daniel, et al.. (2016). Simulation optimization for a large-scale bike-sharing system. 2016 Winter Simulation Conference (WSC). 20 indexed citations

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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