Vadim Puller

1.9k citations
22 papers · 832 indexed · 1 hit paper · h-index 10

Vadim Puller

21 papers receiving 825 citations

Hit Papers

TreeTime: Maximum-likelihood phylodynamic analysis5602017202620202023100200300400500

Peers

Vadim Puller
Comparison fields: 5 of 74
  • Infectious Diseases 397
  • Virology 88
  • Modeling and Simulation 68
  • Animal Science and Zoology 93
  • Atomic and Molecular Physics, and Optics 153
Replace Eric C. Dykeman with:
Eric C. Dykeman United Kingdom
Miguel Nebot Spain
Petr Chlanda Germany
Daniel J. Park United States
Christopher J. Neufeldt Germany
Ramzi Alsallaq United States
James J. McSharry United States
Matthew Brecher United States
Ewan P. Plant United States
Tim Booth Canada
Vadim Puller relative to Eric C. Dykeman United Kingdom Eric C. Dykeman's profile →
Citations per field
00.5×
Eric C. Dykeman · 1×
Citations per year

Countries citing papers authored by Vadim Puller

Since Specialization
Citations

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

Fields of papers citing papers by Vadim Puller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Vadim Puller, 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 Vadim Puller Line = papers co-authored together Vadim Puller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20205
3 201756
4 201732
5
TreeTime: Maximum-likelihood phylodynamic analysisbreakdown →
2017560
6 20169
7 201515
8 201341
9 20108
10 20099
11 20086
12 200715
13 20055
14 200512
15 20053
16 20051
17 200424
18 200322
19 20011
20 20016

About Vadim Puller

Vadim Puller is a scholar working on Acoustics and Ultrasonics, Aging, Atomic and Molecular Physics, and Optics, Virology and Condensed Matter Physics, having authored 22 papers that have together received 832 indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (11 papers), Quantum and electron transport phenomena (10 papers), Genomics and Phylogenetic Studies (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Molecular Junctions and Nanostructures (3 papers), Mechanical and Optical Resonators (3 papers), HIV Research and Treatment (2 papers) and Random lasers and scattering media (2 papers). The work is most often cited by research in Infectious Diseases (397 citations), Virology (88 citations), Modeling and Simulation (68 citations), Animal Science and Zoology (93 citations) and Atomic and Molecular Physics, and Optics (153 citations). Vadim Puller has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Richard A. Neher, Jan Albert, Lev Mourokh, F. Pistolesi, Brahim Lounis, F. Bird, Fabio Zanini, Johanna Brodin, Anatoly Yu. Smirnov and Yigal Meir. Their work appears in journals such as Virus Evolution, Physical Review Letters, Applied Physics Letters, Physical Review B and Physics Letters A.

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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