A.I. Stash

155 papers receiving 2.9k citations

Peers

A.I. Stash
Comparison fields: 5 of 102
  • Physical and Theoretical Chemistry 1.3k
  • Inorganic Chemistry 700
  • Organic Chemistry 1.3k
  • Electronic, Optical and Magnetic Materials 531
  • Materials Chemistry 1.2k
Replace Felipe A. Bulat with:
Felipe A. Bulat United States
Daniel J. Grimwood Australia
Vladimir G. Tsirelson Russia
Simon Grabowsky Germany
F.P.A. Fabbiani United Kingdom
Robin Chaudret France
Eric Bosch United States
Stephen K. Wolff Australia
A. Alan Pinkerton United States
Ruslan M. Minyaev Russia
A.I. Stash relative to Felipe A. Bulat United States Felipe A. Bulat's profile →
Citations per field
00.5×10×15×19×
Felipe A. Bulat · 1×
Citations per year

Countries citing papers authored by A.I. Stash

Since Specialization
Citations

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

Fields of papers citing papers by A.I. Stash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.I. Stash. 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 A.I. Stash. The network helps show where A.I. Stash may publish in the future.

Co-authors

The 25 scholars most cited alongside A.I. Stash, 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 A.I. Stash Line = papers co-authored together A.I. Stash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002247
2 2002210
3 2006113
4 200299
5 200287
6 201384
7 201476
8 199972
9 201069
10 201164
11 201462
12 200557
13 201453
14 200450
15 201148
16 202146
17 200746
18 200642
19 200442
20 200142

About A.I. Stash

A.I. Stash is a scholar working on Organic Chemistry, Materials Chemistry, Inorganic Chemistry, Physical and Theoretical Chemistry and Electronic, Optical and Magnetic Materials, having authored 163 papers that have together received 3.0k indexed citations. Recurring topics across this work include Crystallography and molecular interactions (43 papers), Metal complexes synthesis and properties (22 papers), Advanced Chemical Physics Studies (19 papers), Organophosphorus compounds synthesis (18 papers), Crystal structures of chemical compounds (16 papers), Chemical Thermodynamics and Molecular Structure (14 papers), Magnetism in coordination complexes (14 papers) and X-ray Diffraction in Crystallography (14 papers). The work is most often cited by research in Physical and Theoretical Chemistry (1.3k citations), Inorganic Chemistry (700 citations), Organic Chemistry (1.3k citations), Electronic, Optical and Magnetic Materials (531 citations) and Materials Chemistry (1.2k citations). A.I. Stash has collaborated with scholars based in Russia, United States and Sweden. Frequent co-authors include Vladimir G. Tsirelson, A. Alan Pinkerton, Elizabeth A. Zhurova, Vladimir Zhurov, Екатерина В. Барташевич, Vitaly K. Belsky, Anastasia V. Shishkina, Shubin Liu, Vladimir Potemkin and С. А. Иванов. Their work appears in journals such as Acta Crystallographica Section B Structural Science, Crystal Growth & Design, Acta Crystallographica Section B Structural Science Crystal Engineering and Materials, Polyhedron and Journal of Organometallic Chemistry.

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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