Daniel V. Samarov

820 citations
31 papers · 651 · h-index 12

Impact in

Papers in

Daniel V. Samarov

30 papers receiving 622 citations

Peers

Daniel V. Samarov
Comparison fields: 5 of 98
  • Global and Planetary Change 110
  • Health, Toxicology and Mutagenesis 65
  • Emergency Medicine 31
  • Health Information Management 26
  • Geriatrics and Gerontology 9
Replace Darren Wraith with:
Darren Wraith Australia
Lucio Barabesi Italy
Andreas Ruckstuhl Switzerland
Virginia Foot United Kingdom
D. Ruppert United Kingdom
D. G. Rees United States
Norman H. Cohen United States
Kurt Enslein United States
Fan Liu China
Daniel V. Samarov relative to Darren Wraith Australia Darren Wraith's profile →
Citations per field
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Darren Wraith · 1×
Citations per year

Countries citing papers authored by Daniel V. Samarov

Since Specialization
Citations

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

Fields of papers citing papers by Daniel V. Samarov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel V. Samarov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel V. Samarov Line = papers co-authored together Daniel V. Samarov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014124
2 201386
3 201351
4 201245
5 202245
6 201736
7 201733
8 201132
9 201231
10 202028
11 200727
12 201621
13 202012
14 20209
15 20219
16 20118
17 20128
18 20147
19 20116
20 20165

About Daniel V. Samarov

Daniel V. Samarov is a scholar working on Media Technology, Statistics and Probability, Analytical Chemistry, Emergency Medicine and Statistics, Probability and Uncertainty, having authored 31 papers that have together received 651 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (5 papers), Advanced Materials Characterization Techniques (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Statistical Methods and Inference (3 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Hospital Admissions and Outcomes (2 papers), Advanced Statistical Methods and Models (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Global and Planetary Change (110 citations), Health, Toxicology and Mutagenesis (65 citations), Emergency Medicine (31 citations), Health Information Management (26 citations) and Geriatrics and Gerontology (9 citations). Daniel V. Samarov has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Elizabeth M. Hechenbleikner, Martin A. Makary, Elizabeth Collens Wick, Ellen M. Voorhees, Jonathan E. Efron, Susan L. Gearhart, Jennifer L. Bennett, Ian M. Soboroff, Aaron Gilad Kusne and Justin M. Zook. Their work appears in journals such as Technometrics, Microscopy and Microanalysis, Biomedical Optics Express, Building and Environment and Journal of the Optical Society of America B.

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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