Mahsa Valipour

10 total papers · 581 total citations
9 papers, 429 citations indexed

About

Mahsa Valipour is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Radiological and Ultrasound Technology. According to data from OpenAlex, Mahsa Valipour has authored 9 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 3 papers in Statistics, Probability and Uncertainty and 2 papers in Radiological and Ultrasound Technology. Recurrent topics in Mahsa Valipour's work include Multi-Criteria Decision Making (6 papers), Efficiency Analysis Using DEA (4 papers) and Risk and Safety Analysis (3 papers). Mahsa Valipour is often cited by papers focused on Multi-Criteria Decision Making (6 papers), Efficiency Analysis Using DEA (4 papers) and Risk and Safety Analysis (3 papers). Mahsa Valipour collaborates with scholars based in Iran, Canada and Australia. Mahsa Valipour's co-authors include Samuel Yousefı, Mustafa Jahangoshai Rezaee, Morteza Saberi, Hashem Omrani, Muhammet Gül, Ali Emrouznejad, Rehan Sadiq, Ezzeddin Bakhtavar and Kasun Hewage and has published in prestigious journals such as Applied Soft Computing, Physica A Statistical Mechanics and its Applications and Computers & Industrial Engineering.

In The Last Decade

Mahsa Valipour

9 papers receiving 421 citations

Author Peers

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

Author						Papers	Cites
Mahsa Valipour	220	113	97	73	50	9	429
Arash Alizadeh	287 1.3×	72 0.6×	31 0.3×	80 1.1×	34 0.7×	14	494
Mingshun Song	163 0.7×	143 1.3×	39 0.4×	45 0.6×	46 0.9×	13	374
Hamed Aboutorab	221 1.0×	39 0.3×	77 0.8×	132 1.8×	39 0.8×	17	428
Mansour Zarrin	120 0.5×	57 0.5×	37 0.4×	127 1.7×	81 1.6×	17	420
Sait Gül	269 1.2×	36 0.3×	49 0.5×	81 1.1×	37 0.7×	28	412
Reza Fattahi	237 1.1×	171 1.5×	33 0.3×	72 1.0×	62 1.2×	7	402
Xue‐Feng Ding	273 1.2×	76 0.7×	56 0.6×	61 0.8×	15 0.3×	20	447
Ken R. McNaught	167 0.8×	77 0.7×	50 0.5×	47 0.6×	10 0.2×	20	408
Meysam Arvan	181 0.8×	71 0.6×	45 0.5×	154 2.1×	66 1.3×	10	440
Fuqi Liang	279 1.3×	35 0.3×	53 0.5×	105 1.4×	12 0.2×	8	473

Countries citing papers authored by Mahsa Valipour

Since Specialization

Citations

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

Fields of papers citing papers by Mahsa Valipour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahsa Valipour

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