D. V. Talapin

28 total papers · 1.1k total citations
19 papers, 936 citations indexed

About

D. V. Talapin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, D. V. Talapin has authored 19 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 13 papers in Electrical and Electronic Engineering and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in D. V. Talapin's work include Quantum Dots Synthesis And Properties (18 papers), Chalcogenide Semiconductor Thin Films (12 papers) and Semiconductor Quantum Structures and Devices (3 papers). D. V. Talapin is often cited by papers focused on Quantum Dots Synthesis And Properties (18 papers), Chalcogenide Semiconductor Thin Films (12 papers) and Semiconductor Quantum Structures and Devices (3 papers). D. V. Talapin collaborates with scholars based in Germany, Portugal and Belarus. D. V. Talapin's co-authors include Horst Weller, R. A. M. Hikmet, Andrey L. Rogach, Jochen Feldmann, John M. Lupton, A. L. Rogach, P. Chin, J. Müller, John F. Donegan and Yury P. Rakovich and has published in prestigious journals such as Physical Review Letters, Advanced Materials and The Journal of Chemical Physics.

In The Last Decade

D. V. Talapin

18 papers receiving 913 citations

Author Peers

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

Author Last Decade Papers Cites
D. V. Talapin 791 675 186 151 99 19 936
Peter Doak 467 0.6× 654 1.0× 407 2.2× 200 1.3× 75 0.8× 21 928
Ryan A. Brady 815 1.0× 842 1.2× 118 0.6× 68 0.5× 59 0.6× 16 1.2k
Rory Stine 667 0.8× 440 0.7× 124 0.7× 401 2.7× 94 0.9× 25 1.1k
Irina V. Martynenko 733 0.9× 335 0.5× 76 0.4× 248 1.6× 118 1.2× 29 966
Oleksandr A. Savchuk 883 1.1× 539 0.8× 293 1.6× 283 1.9× 67 0.7× 25 1.1k
Brenda Long 569 0.7× 367 0.5× 123 0.7× 227 1.5× 285 2.9× 26 951
Joan K. Bosworth 682 0.9× 179 0.3× 100 0.5× 150 1.0× 78 0.8× 15 841
Claudia Querner 670 0.8× 558 0.8× 121 0.7× 144 1.0× 136 1.4× 18 865
Jacob B. Hoffman 600 0.8× 640 0.9× 113 0.6× 66 0.4× 36 0.4× 15 825
V. Kolagunta 642 0.8× 592 0.9× 229 1.2× 237 1.6× 457 4.6× 22 1.2k

Countries citing papers authored by D. V. Talapin

Since Specialization
Citations

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

Fields of papers citing papers by D. V. Talapin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. V. Talapin

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

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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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