Julia L. Fleck

919 total citations · 1 hit paper
15 papers, 464 citations indexed

About

Julia L. Fleck is a scholar working on Molecular Biology, Management Science and Operations Research and Emergency Medical Services. According to data from OpenAlex, Julia L. Fleck has authored 15 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Management Science and Operations Research and 3 papers in Emergency Medical Services. Recurrent topics in Julia L. Fleck's work include Healthcare Operations and Scheduling Optimization (3 papers), Cancer Genomics and Diagnostics (3 papers) and Genomics and Rare Diseases (2 papers). Julia L. Fleck is often cited by papers focused on Healthcare Operations and Scheduling Optimization (3 papers), Cancer Genomics and Diagnostics (3 papers) and Genomics and Rare Diseases (2 papers). Julia L. Fleck collaborates with scholars based in United States, Brazil and Germany. Julia L. Fleck's co-authors include Sílvio Hamacher, Fernando Luiz Cyrino Oliveira, Leila Figueiredo Dantas, Christos G. Cassandras, Janaina F. Marchesi, Leonardo dos Santos Lourenço Bastos, Yanfeng Geng, Ioannis Ch. Paschalidis, Ana B. Pavel and Alois Herkommer and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and European Journal of Operational Research.

In The Last Decade

Julia L. Fleck

14 papers receiving 452 citations

Hit Papers

No-shows in appointment scheduling – a systematic literat... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. No-shows in appointment scheduling – a systematic literature review
    2018 257 citations Leila Figueiredo Dantas, Julia L. Fleck et al. Health Policy profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Julia L. Fleck United States 8 200 122 103 90 49 15 464
Xiang Zhong United States 15 182 0.9× 80 0.7× 106 1.0× 54 0.6× 40 0.8× 73 606
Proctor P Reid United Kingdom 7 125 0.6× 119 1.0× 140 1.4× 50 0.6× 40 0.8× 29 510
Paolo Landa Italy 13 268 1.3× 81 0.7× 67 0.7× 135 1.5× 98 2.0× 34 566
Renata Konrad United States 11 122 0.6× 81 0.7× 63 0.6× 59 0.7× 50 1.0× 37 445
Eren Demir United Kingdom 13 188 0.9× 172 1.4× 52 0.5× 85 0.9× 79 1.6× 42 478
Jeff Griffiths United Kingdom 10 150 0.8× 107 0.9× 78 0.8× 58 0.6× 38 0.8× 18 359
Hong Choon Oh Singapore 12 55 0.3× 49 0.4× 55 0.5× 97 1.1× 21 0.4× 54 427
Jonathan E. Helm United States 16 285 1.4× 223 1.8× 87 0.8× 179 2.0× 64 1.3× 43 804
Ivan Porro Italy 9 101 0.5× 53 0.4× 87 0.8× 40 0.4× 24 0.5× 30 430
Alexander Komashie United Kingdom 9 111 0.6× 66 0.5× 83 0.8× 51 0.6× 51 1.0× 25 316

Countries citing papers authored by Julia L. Fleck

Since Specialization
Citations

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

Fields of papers citing papers by Julia L. Fleck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia L. Fleck. 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 Julia L. Fleck. The network helps show where Julia L. Fleck may publish in the future.

Co-authorship network of co-authors of Julia L. Fleck

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

All Works

15 of 15 papers shown
1.
Sedlmayr, Martin, Gabriele Müller, Helge Hebestreit, et al.. (2024). Secondary use of patient data within decentralized studies using the example of rare diseases in Germany: A data scientist's exploration of process and lessons learned. Digital Health. 10. 599908931–599908931. 1 indexed citations
2.
Fleck, Julia L., Alois Herkommer, Arnulf Stenzl, et al.. (2022). Data-Driven Identification of Biomarkers for In Situ Monitoring of Drug Treatment in Bladder Cancer Organoids. International Journal of Molecular Sciences. 23(13). 6956–6956. 17 indexed citations
3.
Schepers, Josef, Julia L. Fleck, & Jannik Schaaf. (2022). Die Medizininformatik-Initiative und Seltene Erkrankungen: Routinedaten der nächsten Generation für Diagnose, Therapiewahl und Forschung. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 65(11). 1151–1158. 4 indexed citations
4.
Baião, Fernanda, et al.. (2021). Predicting drug sensitivity of cancer cells based on DNA methylation levels. PLoS ONE. 16(9). e0238757–e0238757. 4 indexed citations
5.
Fleck, Julia L., et al.. (2020). Physiological and socioeconomic characteristics predict COVID-19 mortality and resource utilization in Brazil. PLoS ONE. 15(10). e0240346–e0240346. 34 indexed citations
6.
Fleck, Julia L., et al.. (2020). A stochastic programming approach for offshore flight scheduling. IFAC-PapersOnLine. 53(4). 478–484. 5 indexed citations
7.
Marchesi, Janaina F., Sílvio Hamacher, & Julia L. Fleck. (2020). A stochastic programming approach to the physician staffing and scheduling problem. Computers & Industrial Engineering. 142. 106281–106281. 38 indexed citations
8.
Fleck, Julia L., Ana B. Pavel, & Christos G. Cassandras. (2019). A pan-cancer analysis of progression mechanisms and drug sensitivity in cancer cell lines. Molecular Omics. 15(6). 399–405. 1 indexed citations
9.
Dantas, Leila Figueiredo, Julia L. Fleck, Fernando Luiz Cyrino Oliveira, & Sílvio Hamacher. (2018). No-shows in appointment scheduling – a systematic literature review. Health Policy. 122(4). 412–421. 257 indexed citations breakdown →
10.
Bastos, Leonardo dos Santos Lourenço, Janaina F. Marchesi, Sílvio Hamacher, & Julia L. Fleck. (2018). A mixed integer programming approach to the patient admission scheduling problem. European Journal of Operational Research. 273(3). 831–840. 44 indexed citations
11.
Fleck, Julia L., Ana B. Pavel, & Christos G. Cassandras. (2016). Integrating mutation and gene expression cross-sectional data to infer cancer progression. BMC Systems Biology. 10(1). 12–12. 17 indexed citations
12.
Fleck, Julia L. & Christos G. Cassandras. (2016). Optimal design of personalized prostate cancer therapy using Infinitesimal Perturbation Analysis. Nonlinear Analysis Hybrid Systems. 25. 246–262. 7 indexed citations
13.
14.
Fleck, Julia L., Christos G. Cassandras, & Yanfeng Geng. (2015). Adaptive Quasi-Dynamic Traffic Light Control. IEEE Transactions on Control Systems Technology. 24(3). 830–842. 31 indexed citations
15.
Fleck, Julia L. & Christos G. Cassandras. (2014). Infinitesimal Perturbation Analysis for Quasi-Dynamic Traffic Light Controllers. IFAC Proceedings Volumes. 47(2). 235–240. 4 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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