D. I. Tetelbaum

277 total papers · 1.9k total citations
170 papers, 1.4k citations indexed

About

D. I. Tetelbaum is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computational Mechanics. According to data from OpenAlex, D. I. Tetelbaum has authored 170 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Electrical and Electronic Engineering, 107 papers in Materials Chemistry and 65 papers in Computational Mechanics. Recurrent topics in D. I. Tetelbaum's work include Silicon Nanostructures and Photoluminescence (84 papers), Ion-surface interactions and analysis (65 papers) and Semiconductor materials and devices (37 papers). D. I. Tetelbaum is often cited by papers focused on Silicon Nanostructures and Photoluminescence (84 papers), Ion-surface interactions and analysis (65 papers) and Semiconductor materials and devices (37 papers). D. I. Tetelbaum collaborates with scholars based in Russia, India and Italy. D. I. Tetelbaum's co-authors include Alexey Mikhaylov, A. I. Belov, Д. С. Королев, П. В. Павлов, Д. А. Павлов, О. Н. Горшков, И. Н. Антонов, С. В. Тихов, E.G. Gryaznov and Д. В. Гусейнов and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

D. I. Tetelbaum

154 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
D. I. Tetelbaum	925	785	304	253	221	170	1.4k
Yoosuf N. Picard	814 0.9×	700 0.9×	222 0.7×	278 1.1×	225 1.0×	85	1.6k
M. Meier	983 1.1×	436 0.6×	156 0.5×	475 1.9×	495 2.2×	72	1.5k
А. В. Ситников	547 0.6×	564 0.7×	76 0.3×	146 0.6×	509 2.3×	213	1.3k
Tatsuya Iwata	407 0.4×	390 0.5×	219 0.7×	169 0.7×	65 0.3×	111	1.1k
О. А. Агеев	780 0.8×	613 0.8×	122 0.4×	362 1.4×	314 1.4×	137	1.3k
M. Bernard	1.1k 1.2×	1.1k 1.5×	59 0.2×	176 0.7×	314 1.4×	104	1.7k
I. V. Antonova	833 0.9×	896 1.1×	166 0.5×	458 1.8×	205 0.9×	193	1.4k
L.D. Laude	776 0.8×	758 1.0×	348 1.1×	195 0.8×	379 1.7×	113	1.5k
Daniel Alquier	1.3k 1.4×	571 0.7×	130 0.4×	631 2.5×	434 2.0×	182	1.8k
Xiangdong Xu	654 0.7×	445 0.6×	64 0.2×	356 1.4×	144 0.7×	149	1.3k

Countries citing papers authored by D. I. Tetelbaum

Since Specialization

Citations

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

Fields of papers citing papers by D. I. Tetelbaum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. I. Tetelbaum

This figure shows the co-authorship network connecting the top 25 collaborators of D. I. Tetelbaum. A scholar is included among the top collaborators of D. I. Tetelbaum 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. I. Tetelbaum. D. I. Tetelbaum 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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