Nasser Fard

50 total papers · 587 total citations
36 papers, 402 citations indexed

About

Nasser Fard is a scholar working on Safety, Risk, Reliability and Quality, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, Nasser Fard has authored 36 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Safety, Risk, Reliability and Quality, 11 papers in Statistics and Probability and 10 papers in Statistics, Probability and Uncertainty. Recurrent topics in Nasser Fard's work include Reliability and Maintenance Optimization (12 papers), Software Reliability and Analysis Research (9 papers) and Statistical Distribution Estimation and Applications (9 papers). Nasser Fard is often cited by papers focused on Reliability and Maintenance Optimization (12 papers), Software Reliability and Analysis Research (9 papers) and Statistical Distribution Estimation and Applications (9 papers). Nasser Fard collaborates with scholars based in United States, Mexico and China. Nasser Fard's co-authors include Chenhua Li, Indra Gunawan, Indra Gunawan, Abdul Hannan Chowdhury, Emanuel Melachrinoudis and Chun-An Chou and has published in prestigious journals such as Reliability Engineering & System Safety, Computers & Industrial Engineering and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Nasser Fard

35 papers receiving 379 citations

Author Peers

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

Author						Papers	Cites
Nasser Fard	233	142	131	86	52	36	402
Michael Tortorella	230 1.0×	155 1.1×	92 0.7×	133 1.5×	19 0.4×	35	363
Cunhua Qian	195 0.8×	51 0.4×	131 1.0×	126 1.5×	32 0.6×	31	413
Sergey V. Gurov	143 0.6×	123 0.9×	85 0.6×	61 0.7×	31 0.6×	41	337
Aparna V. Huzurbazar	134 0.6×	173 1.2×	120 0.9×	85 1.0×	31 0.6×	35	415
Manju Agarwal	277 1.2×	142 1.0×	139 1.1×	137 1.6×	18 0.3×	42	441
J.M. Kontoleon	211 0.9×	88 0.6×	73 0.6×	98 1.1×	62 1.2×	47	338
Ruey-Huei Yeh	104 0.4×	104 0.7×	50 0.4×	49 0.6×	23 0.4×	18	362
Miaomiao Yu	201 0.9×	85 0.6×	86 0.7×	69 0.8×	57 1.1×	48	358
Gulshan Taneja	267 1.1×	123 0.9×	41 0.3×	75 0.9×	17 0.3×	51	369
Michael Jong Kim	180 0.8×	113 0.8×	55 0.4×	59 0.7×	17 0.3×	23	335

Countries citing papers authored by Nasser Fard

Since Specialization

Citations

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

Fields of papers citing papers by Nasser Fard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasser Fard

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