Daniel Merl

516 total citations
14 papers, 335 citations indexed

About

Daniel Merl is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Daniel Merl has authored 14 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Genetics. Recurrent topics in Daniel Merl's work include Influenza Virus Research Studies (3 papers), Magnetic Field Sensors Techniques (2 papers) and COVID-19 epidemiological studies (2 papers). Daniel Merl is often cited by papers focused on Influenza Virus Research Studies (3 papers), Magnetic Field Sensors Techniques (2 papers) and COVID-19 epidemiological studies (2 papers). Daniel Merl collaborates with scholars based in United States, Germany and Taiwan. Daniel Merl's co-authors include Leah R. Johnson, Robert B. Gramacy, Marc Mangel, Mike West, Jianli Wu, Christopher W. Peterson, Deborah M. Muoio, Hanwei Yin, Donald E. Ayer and Jen‐Tsan Chi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Daniel Merl

11 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Merl United States 6 98 53 50 39 37 14 335
Yongjin Choi South Korea 9 155 1.6× 71 1.3× 11 0.2× 24 0.6× 20 0.5× 50 491
Prasad Patil United States 13 232 2.4× 39 0.7× 53 1.1× 48 1.2× 48 1.3× 51 746
Mostafa Abbas Qatar 12 113 1.2× 15 0.3× 20 0.4× 45 1.2× 14 0.4× 31 287
Zijian Liu China 14 116 1.2× 52 1.0× 27 0.5× 18 0.5× 7 0.2× 69 519
Alexandros Kanterakis Greece 9 152 1.6× 28 0.5× 28 0.6× 19 0.5× 27 0.7× 32 371
Joe M. Butler Netherlands 13 126 1.3× 86 1.6× 24 0.5× 71 1.8× 81 2.2× 43 423
Jason Xu United States 11 178 1.8× 6 0.1× 24 0.5× 28 0.7× 9 0.2× 39 434
Yazeed Zoabi Israel 7 77 0.8× 15 0.3× 22 0.4× 49 1.3× 12 0.3× 11 425
Jim Chen United States 10 107 1.1× 125 2.4× 15 0.3× 80 2.1× 60 1.6× 59 458

Countries citing papers authored by Daniel Merl

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Merl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Merl

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

All Works

14 of 14 papers shown
1.
Meyers, J., M. Schneider, Julia Ebert, et al.. (2025). SSAPy - Space Situational Awareness for Python. The Journal of Open Source Software. 10(111). 8147–8147.
2.
Schlafly, Edward F., M. Schneider, Daniel Merl, et al.. (2023). Space Situational Awareness for Python. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
3.
Duan, Nan, et al.. (2021). Distribution System Voltage Prediction from Smart Inverters using Decentralized Regression. 2021 IEEE Power & Energy Society General Meeting (PESGM). 1–5. 3 indexed citations
4.
6.
Allen, J. L., Vinayak Borkar, Daniel Merl, et al.. (2013). Scuba. Proceedings of the VLDB Endowment. 6(11). 1057–1067. 60 indexed citations
7.
Manolopoulou, Ioanna, Thomas B. Kepler, & Daniel Merl. (2012). Mixtures of Gaussian wells: Theory, computation, and application. Computational Statistics & Data Analysis. 56(12). 3809–3820. 2 indexed citations
8.
Chen, Julia Ling-Yu, Daniel Merl, Christopher W. Peterson, et al.. (2010). Lactic Acidosis Triggers Starvation Response with Paradoxical Induction of TXNIP through MondoA. PLoS Genetics. 6(9). e1001093–e1001093. 107 indexed citations
9.
Merl, Daniel, Leah R. Johnson, Robert B. Gramacy, & Marc Mangel. (2010). amei: An R Package for the Adaptive Management of Epidemiological Interventions. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Merl, Daniel, Leah R. Johnson, Robert B. Gramacy, & Marc Mangel. (2010). amei: AnRPackage for the Adaptive Management of Epidemiological Interventions. Journal of Statistical Software. 36(6). 93 indexed citations
11.
Merl, Daniel, Leah R. Johnson, Robert B. Gramacy, & Marc Mangel. (2009). A Statistical Framework for the Adaptive Management of Epidemiological Interventions. PLoS ONE. 4(6). e5807–e5807. 33 indexed citations
12.
Ji, Chunlin, Thomas B. Kepler, Daniel Merl, & Mike West. (2009). Spatial mixture modelling for unobserved point processes: examples in immunofluorescence histology. Bayesian Analysis. 4(2). 297–316. 19 indexed citations
13.
Lucas, Joseph E., Carlos M. Carvalho, & Daniel Merl. (2008). In-Vitro to In-Vivo Factor Profiling in Expression Genomics. 5 indexed citations
14.
Merl, Daniel, Raquel Prado, & Ananías A. Escalante. (2008). Assessing the Effect of Selection at the Amino Acid Level in Malaria Antigen Sequences Through Bayesian Generalized Linear Models. Journal of the American Statistical Association. 103(484). 1496–1507. 7 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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