Tamara Shulgina

58 total papers · 1.4k total citations
20 papers, 753 citations indexed

About

Tamara Shulgina is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Tamara Shulgina has authored 20 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 12 papers in Atmospheric Science and 2 papers in Artificial Intelligence. Recurrent topics in Tamara Shulgina's work include Climate variability and models (13 papers), Meteorological Phenomena and Simulations (7 papers) and Tropical and Extratropical Cyclones Research (4 papers). Tamara Shulgina is often cited by papers focused on Climate variability and models (13 papers), Meteorological Phenomena and Simulations (7 papers) and Tropical and Extratropical Cyclones Research (4 papers). Tamara Shulgina collaborates with scholars based in United States, Russia and United Kingdom. Tamara Shulgina's co-authors include Alexander Gershunov, F. Martin Ralph, David A. Lavers, Jonathan J. Rutz, Kristen Guirguis, Rachel E. S. Clemesha, Daniel R. Cayan, David W. Pierce, Michael D. Dettinger and Julie Kalansky and has published in prestigious journals such as Scientific Reports, Geophysical Research Letters and Environmental Research Letters.

In The Last Decade

Tamara Shulgina

19 papers receiving 746 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tamara Shulgina 616 535 141 47 47 20 753
Hiroaki Ikeuchi 552 0.9× 322 0.6× 210 1.5× 43 0.9× 71 1.5× 18 706
Nicola Cortesi 670 1.1× 408 0.8× 192 1.4× 40 0.9× 61 1.3× 21 811
Xingying Huang 612 1.0× 456 0.9× 111 0.8× 31 0.7× 77 1.6× 23 765
Jesse Norris 572 0.9× 454 0.8× 101 0.7× 56 1.2× 31 0.7× 25 685
Daniel Walton 672 1.1× 525 1.0× 195 1.4× 25 0.5× 29 0.6× 23 862
Ashley E. Payne 635 1.0× 681 1.3× 92 0.7× 84 1.8× 27 0.6× 16 834
Amulya Chevuturi 673 1.1× 578 1.1× 130 0.9× 85 1.8× 41 0.9× 32 838
Marta Llopart 756 1.2× 567 1.1× 161 1.1× 43 0.9× 79 1.7× 34 898
M. A. Rawlins 331 0.5× 690 1.3× 120 0.9× 37 0.8× 100 2.1× 33 901
Azar Zarrin 588 1.0× 437 0.8× 156 1.1× 65 1.4× 34 0.7× 27 714

Countries citing papers authored by Tamara Shulgina

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Shulgina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Shulgina

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

All Works

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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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