Masoud Honarvar

89 total papers · 500 total citations
54 papers, 376 citations indexed

About

Masoud Honarvar is a scholar working on Food Science, Plant Science and Nutrition and Dietetics. According to data from OpenAlex, Masoud Honarvar has authored 54 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Food Science, 11 papers in Plant Science and 9 papers in Nutrition and Dietetics. Recurrent topics in Masoud Honarvar's work include Phytochemicals and Antioxidant Activities (9 papers), Microbial Metabolites in Food Biotechnology (7 papers) and Spectroscopy and Chemometric Analyses (6 papers). Masoud Honarvar is often cited by papers focused on Phytochemicals and Antioxidant Activities (9 papers), Microbial Metabolites in Food Biotechnology (7 papers) and Spectroscopy and Chemometric Analyses (6 papers). Masoud Honarvar collaborates with scholars based in Iran, Switzerland and China. Masoud Honarvar's co-authors include Maryam Mizani, Mahshid Jahadi, Hossein Faghihian, Babak Ghiassi Tarzi, A. Gerami, Mehrdad Ghavami, Maryam Gharachorloo, Ali Reza Zarei, Hossein Bakhoda and Masoud Mashhadi Akbar Boojar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Food Engineering and International Journal of Biological Macromolecules.

In The Last Decade

Masoud Honarvar

46 papers receiving 363 citations

Author Peers

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

Author						Papers	Cites
Masoud Honarvar	120	93	79	65	56	54	376
Ana Velez	134 1.1×	82 0.9×	91 1.2×	66 1.0×	63 1.1×	24	446
Dang Truong Le	135 1.1×	56 0.6×	79 1.0×	51 0.8×	58 1.0×	35	348
Baoshan Zhang	153 1.3×	51 0.5×	111 1.4×	64 1.0×	62 1.1×	31	394
Wannaporn Klangpetch	127 1.1×	66 0.7×	85 1.1×	116 1.8×	75 1.3×	44	405
Líbia de S Conrado	164 1.4×	113 1.2×	82 1.0×	92 1.4×	136 2.4×	33	432
Morad Chadni	122 1.0×	124 1.3×	89 1.1×	105 1.6×	47 0.8×	24	428
Hatice Neval Özbek	135 1.1×	99 1.1×	77 1.0×	47 0.7×	59 1.1×	26	357
Guadalupe María Guatemala-Morales	147 1.2×	63 0.7×	53 0.7×	76 1.2×	47 0.8×	31	365
Vidiany Aparecida Queiroz Santos	149 1.2×	81 0.9×	121 1.5×	92 1.4×	102 1.8×	35	416
Kiro Mojsov	123 1.0×	73 0.8×	175 2.2×	75 1.2×	31 0.6×	41	442

Countries citing papers authored by Masoud Honarvar

Since Specialization

Citations

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

Fields of papers citing papers by Masoud Honarvar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masoud Honarvar

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