Robert Noble

1.0k total citations
43 papers, 693 citations indexed

About

Robert Noble is a scholar working on Statistics and Probability, Nature and Landscape Conservation and Environmental Engineering. According to data from OpenAlex, Robert Noble has authored 43 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 5 papers in Nature and Landscape Conservation and 5 papers in Environmental Engineering. Recurrent topics in Robert Noble's work include Statistical Methods and Bayesian Inference (7 papers), Forest ecology and management (4 papers) and Water Quality and Resources Studies (3 papers). Robert Noble is often cited by papers focused on Statistical Methods and Bayesian Inference (7 papers), Forest ecology and management (4 papers) and Water Quality and Resources Studies (3 papers). Robert Noble collaborates with scholars based in United States, United Kingdom and Germany. Robert Noble's co-authors include A. John Bailer, David L. Gorchov, Bryan A. Endress, Christine M. Anderson‐Cook, Matthew W. Wheeler, M. M. Alley, Raj Khosla, James A. Doolittle, LeAnn Beanland and Tony K. Wolf and has published in prestigious journals such as New England Journal of Medicine, Environmental Science & Technology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Robert Noble

40 papers receiving 641 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Noble United States 12 115 107 81 78 74 43 693
H. Tsuzuki Japan 12 42 0.4× 118 1.1× 45 0.6× 57 0.7× 68 0.9× 32 635
Qingxue Li China 18 82 0.7× 175 1.6× 52 0.6× 75 1.0× 50 0.7× 77 1.3k
Quan Qiu China 12 23 0.2× 134 1.3× 79 1.0× 120 1.5× 52 0.7× 62 634
Mark S. Kaiser United States 16 60 0.5× 158 1.5× 43 0.5× 47 0.6× 109 1.5× 48 923
Yinghui Zhang China 15 42 0.4× 157 1.5× 35 0.4× 91 1.2× 21 0.3× 48 674
Jungang Chen China 18 22 0.2× 187 1.7× 123 1.5× 213 2.7× 36 0.5× 41 964
Jennifer M. Ellis United States 8 25 0.2× 104 1.0× 15 0.2× 55 0.7× 46 0.6× 13 574
Ameur M. Manceur United States 17 132 1.1× 65 0.6× 103 1.3× 207 2.7× 267 3.6× 55 1.2k
Omkar Singh India 16 49 0.4× 131 1.2× 26 0.3× 218 2.8× 13 0.2× 82 903
Anjana Dewanji India 14 34 0.3× 76 0.7× 31 0.4× 105 1.3× 46 0.6× 35 527

Countries citing papers authored by Robert Noble

Since Specialization
Citations

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

Fields of papers citing papers by Robert Noble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Noble

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

All Works

20 of 20 papers shown
1.
Buehlmann, Urs, Robert Noble, & D. Earl Kline. (2023). LUMBER YIELD ESTIMATION BASED ON THE METHOD OF LEAST SQUARES. 657–673.
2.
Noble, Robert, Kamil Khanipov, Paul Johnson, et al.. (2021). Impairment of Tissue-Resident Mesenchymal Stem Cells in Chronic Ulcerative Colitis and Crohn’s Disease. Journal of Crohn s and Colitis. 15(8). 1362–1375. 21 indexed citations
3.
Cornely, Oliver A., Thomas M. File, Lynne Garrity-Ryan, et al.. (2020). Safety and efficacy of omadacycline for treatment of community-acquired bacterial pneumonia and acute bacterial skin and skin structure infections in patients with mild-to-moderate renal impairment. International Journal of Antimicrobial Agents. 57(2). 106263–106263. 6 indexed citations
4.
Ramírez, Julio A., Evan Tzanis, Robert Noble, et al.. (2019). Early Clinical Response in Community-acquired Bacterial Pneumonia: From Clinical Endpoint to Clinical Practice. Clinical Infectious Diseases. 69(Supplement_1). S33–S39. 10 indexed citations
5.
Bateman, Eric D., Ratko Djukanović, Mario Castro, et al.. (2018). Predicting Responders to Reslizumab after 16 Weeks of Treatment Using an Algorithm Derived from Clinical Studies of Patients with Severe Eosinophilic Asthma. American Journal of Respiratory and Critical Care Medicine. 199(4). 489–495. 14 indexed citations
6.
Viele, Kert, Linda M. Mundy, Robert Noble, et al.. (2018). Phase 3 adaptive trial design options in treatment of complicated urinary tract infection. Pharmaceutical Statistics. 17(6). 811–822. 3 indexed citations
7.
Blagden, Sarah P., Anne Hamilton, Linda Mileshkin, et al.. (2014). 3 Afuresertib (GSK2110183), an oral AKT kinase inhibitor, in combination with carboplatin and paclitaxel in recurrent ovarian cancer. European Journal of Cancer. 50. 7–7. 6 indexed citations
8.
Kumar, Sanjay, et al.. (2013). Effects of Urotensin II Receptor Antagonist, GSK1440115, in Asthma. Frontiers in Pharmacology. 4. 54–54. 10 indexed citations
9.
10.
11.
Buehlmann, Urs, D. Earl Kline, Janice K. Wiedenbeck, & Robert Noble. (2008). The influence of cutting-bill requirements on lumber yield using a fractional-factorial design part II, correlation and number of part sizes. Wood and Fiber Science. 40(4). 610–619. 1 indexed citations
12.
Buehlmann, Urs, D. Earl Kline, Janice K. Wiedenbeck, & Robert Noble. (2008). Validation of the standardized and simplified cutting bill. Wood and Fiber Science. 40(2). 202–213. 5 indexed citations
13.
Buehlmann, Urs, Janice K. Wiedenbeck, Robert Noble, & D. Earl Kline. (2008). Creating a standardized and simplified cutting bill using group technology. Wood and Fiber Science. 40(1). 29–41. 6 indexed citations
14.
Buehlmann, Urs, D. Earl Kline, Janice K. Wiedenbeck, & Robert Noble. (2008). The Influence of Cutting-Bill Requirements on Lumber Yield Using a Fractional-Factorial Design Part I. Linearity and Least Squares. Wood and Fiber Science. 40(4). 599–609. 1 indexed citations
15.
Noble, Robert, A. John Bailer, & Robert M. Park. (2008). Model‐Averaged Benchmark Concentration Estimates for Continuous Response Data Arising from Epidemiological Studies. Risk Analysis. 29(4). 558–564. 10 indexed citations
16.
Bailer, A. John, et al.. (2007). Detecting systematic discrepancies in nursing home assessments of residents. Health Services and Outcomes Research Methodology. 8(1). 19–30. 1 indexed citations
17.
Bailer, A. John, Robert Noble, & Matthew W. Wheeler. (2005). Model Uncertainty and Risk Estimation for Experimental Studies of Quantal Responses. Risk Analysis. 25(2). 291–299. 56 indexed citations
18.
Aubry, Anne‐Françoise, et al.. (2004). BIS repetita non placent—a statistical analysis of the number of sample preparations and number of injections required for chromatographic analyses. Journal of Pharmaceutical and Biomedical Analysis. 37(2). 313–318. 1 indexed citations
19.
Kolok, Alan S., et al.. (2004). Copper tolerance in fathead minnows: I. The role of genetic and nongenetic factors. Environmental Toxicology and Chemistry. 23(1). 200–207. 9 indexed citations
20.
Scott, Richard, et al.. (1994). Photovoltaic cladding systems for commercial buildings in the UK. Solar Energy Materials and Solar Cells. 35. 461–468. 1 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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