Tahereh G. Avval

34 total papers · 539 total citations
26 papers, 423 citations indexed

About

Tahereh G. Avval is a scholar working on Surfaces, Coatings and Films, Radiation and Materials Chemistry. According to data from OpenAlex, Tahereh G. Avval has authored 26 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surfaces, Coatings and Films, 10 papers in Radiation and 10 papers in Materials Chemistry. Recurrent topics in Tahereh G. Avval's work include Electron and X-Ray Spectroscopy Techniques (17 papers), X-ray Spectroscopy and Fluorescence Analysis (10 papers) and Machine Learning in Materials Science (5 papers). Tahereh G. Avval is often cited by papers focused on Electron and X-Ray Spectroscopy Techniques (17 papers), X-ray Spectroscopy and Fluorescence Analysis (10 papers) and Machine Learning in Materials Science (5 papers). Tahereh G. Avval collaborates with scholars based in United States, United Kingdom and Czechia. Tahereh G. Avval's co-authors include Matthew R. Linford, Dhruv Shah, Paul Dietrich, Andreas Thißen, Stephan Bahr, Michael Meyer, Varun Jain, George H. Major, Alberto Herrera‐Gómez and Thomas R. Gengenbach and has published in prestigious journals such as Langmuir, Journal of Chromatography A and Applied Surface Science.

In The Last Decade

Tahereh G. Avval

26 papers receiving 413 citations

Author Peers

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

Author						Papers	Cites
Tahereh G. Avval	204	174	134	109	46	26	423
Alejo C. Carreras	158 0.8×	134 0.8×	142 1.1×	158 1.4×	98 2.1×	33	453
Jonathan D. P. Counsell	223 1.1×	71 0.4×	154 1.1×	36 0.3×	36 0.8×	21	374
J.-L. Vignes	298 1.5×	82 0.5×	166 1.2×	22 0.2×	83 1.8×	27	494
Joseph Riga	186 0.9×	89 0.5×	149 1.1×	19 0.2×	42 0.9×	20	385
Noboru Kawase	253 1.2×	139 0.8×	87 0.6×	25 0.2×	16 0.3×	16	466
Roman Kubrin	197 1.0×	54 0.3×	117 0.9×	18 0.2×	47 1.0×	20	391
Shaopeng Wang	303 1.5×	45 0.3×	116 0.9×	29 0.3×	25 0.5×	23	432
Christoph Mahr	325 1.6×	99 0.6×	76 0.6×	31 0.3×	172 3.7×	36	495
S. A. Sardar	128 0.6×	41 0.2×	280 2.1×	40 0.4×	21 0.5×	24	426
J.‐O. Malm	207 1.0×	82 0.5×	139 1.0×	24 0.2×	25 0.5×	22	450

Countries citing papers authored by Tahereh G. Avval

Since Specialization

Citations

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

Fields of papers citing papers by Tahereh G. Avval

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tahereh G. Avval. 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 Tahereh G. Avval. The network helps show where Tahereh G. Avval may publish in the future.

Co-authorship network of co-authors of Tahereh G. Avval

This figure shows the co-authorship network connecting the top 25 collaborators of Tahereh G. Avval. A scholar is included among the top collaborators of Tahereh G. Avval 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 Tahereh G. Avval. Tahereh G. Avval 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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