Sierra Dawson

13 papers receiving 825 citations

Hit Papers

Estimating Solutions of First Kind Integral Equations wit...19812026199620111981100200300

Peers

Sierra Dawson
Comparison fields: 5 of 139
  • Nuclear and High Energy Physics 296
  • Mechanics of Materials 147
  • Radiology, Nuclear Medicine and Imaging 143
  • Pulmonary and Respiratory Medicine 140
  • Physiology 124
Replace Gábor Szabó with:
Gábor Szabó Hungary
Bruce E. Hammer United States
A. Yamazaki Japan
Nobuyuki Ishii Japan
Mikio Sato Japan
A. Yoshida Japan
Geoffrey G. Eichholz United States
N. M. Spyrou United Kingdom
Kun Zhu China
Stephen A. Altobelli United States
Sierra Dawson relative to Gábor Szabó Hungary Gábor Szabó's profile →
Citations per field
00.5×8.5×
Gábor Szabó · 1×
Citations per year

Countries citing papers authored by Sierra Dawson

Since Specialization
Citations

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

Fields of papers citing papers by Sierra Dawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sierra Dawson

This figure shows the co-authorship network connecting the top 25 collaborators of Sierra Dawson. A scholar is included among the top collaborators of Sierra Dawson 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 Sierra Dawson. Sierra Dawson 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
#WorkIndexed citations
1
Chapter 10. Muscle Tissue
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26.1 Body Fluids and Fluid Compartments
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3
23.6 The Small and Large Intestines
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4
10.2 Skeletal Muscle
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5
5.4 Diseases, Disorders, and Injuries of the Integumentary System
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6
Chapter 20. The Cardiovascular System: Blood Vessels and Circulation
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7 7
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Uric acid and renal function in multiple sclerosis.
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9 25
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Circadian distribution of hematology variables in subjects with multiple sclerosis.
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11 120
12
Estimating Solutions of First Kind Integral Equations with Nonnegative Constraints and Optimal Smoothingbreakdown →
396
13 178
14 60
15 76

About Sierra Dawson

Sierra Dawson is a scholar working on Earth-Surface Processes, Endocrine and Autonomic Systems and Physiology, having authored 15 papers that have together received 875 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (2 papers), Avian ecology and behavior (1 paper) and Salivary Gland Disorders and Functions (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (296 citations), Health, Toxicology and Mutagenesis (94 citations) and Geophysics (88 citations). Sierra Dawson has collaborated with scholars based in United States, India and Canada. Frequent co-authors include James A. Reeds, James P. Butler, F. G. Hoppin, Emil Millet, J Butler, A. Jackson, James F. Collins, Joseph P. Brown, Kevin E. Finucane and Pachamuthu Balakrishnan. Their work appears in journals such as Journal of Applied Physiology, SIAM Journal on Numerical Analysis and Regulatory Toxicology and Pharmacology.

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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