Rasool Tahmasbi

24 total papers · 1.0k total citations
15 papers, 659 citations indexed

About

Rasool Tahmasbi is a scholar working on Genetics, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, Rasool Tahmasbi has authored 15 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 4 papers in Statistics, Probability and Uncertainty and 4 papers in Statistics and Probability. Recurrent topics in Rasool Tahmasbi's work include Genetic Associations and Epidemiology (4 papers), Statistical Distribution Estimation and Applications (4 papers) and Reliability and Maintenance Optimization (3 papers). Rasool Tahmasbi is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Statistical Distribution Estimation and Applications (4 papers) and Reliability and Maintenance Optimization (3 papers). Rasool Tahmasbi collaborates with scholars based in Iran, United States and Australia. Rasool Tahmasbi's co-authors include Saralees Nadarajah, Hassan S. Bakouch, Sadegh Rezaei, Matthew C. Keller, S. Mehdi Hashemi, Luke M. Evans, Douglas W. Bjelland, Peter M. Visscher, Scott Vrieze and Teresa R de Candia and has published in prestigious journals such as Nature Genetics, Bioinformatics and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Rasool Tahmasbi

15 papers receiving 613 citations

Author Peers

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

Author						Papers	Cites
Rasool Tahmasbi	368	271	135	89	87	15	659
Nandini Kannan	565 1.5×	383 1.4×	54 0.4×	175 2.0×	87 1.0×	33	756
Lianfen Qian	294 0.8×	77 0.3×	33 0.2×	17 0.2×	71 0.8×	27	639
Spencer Graves	167 0.5×	79 0.3×	38 0.3×	17 0.2×	41 0.5×	24	790
Heinz Linhart	357 1.0×	95 0.4×	37 0.3×	12 0.1×	50 0.6×	22	777
Donald B. Owen	290 0.8×	224 0.8×	13 0.1×	38 0.4×	25 0.3×	16	659
Christian Lavergne	70 0.2×	87 0.3×	55 0.4×	25 0.3×	70 0.8×	34	556
Richard J. Meinhold	144 0.4×	86 0.3×	17 0.1×	40 0.4×	72 0.8×	10	737
C. P. Quesenberry	378 1.0×	218 0.8×	15 0.1×	21 0.2×	24 0.3×	23	580
Richard M. Brugger	205 0.6×	80 0.3×	20 0.1×	16 0.2×	21 0.2×	18	621
Clifford Lam	248 0.7×	79 0.3×	11 0.1×	140 1.6×	14 0.2×	21	565

Countries citing papers authored by Rasool Tahmasbi

Since Specialization

Citations

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

Fields of papers citing papers by Rasool Tahmasbi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rasool Tahmasbi

This figure shows the co-authorship network connecting the top 25 collaborators of Rasool Tahmasbi. A scholar is included among the top collaborators of Rasool Tahmasbi 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 Rasool Tahmasbi. Rasool Tahmasbi 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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