Abbas Parchami

781 total citations
38 papers, 491 citations indexed

About

Abbas Parchami is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Abbas Parchami has authored 38 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 23 papers in Statistics, Probability and Uncertainty and 22 papers in Management Science and Operations Research. Recurrent topics in Abbas Parchami's work include Advanced Statistical Process Monitoring (22 papers), Multi-Criteria Decision Making (17 papers) and Fuzzy Systems and Optimization (17 papers). Abbas Parchami is often cited by papers focused on Advanced Statistical Process Monitoring (22 papers), Multi-Criteria Decision Making (17 papers) and Fuzzy Systems and Optimization (17 papers). Abbas Parchami collaborates with scholars based in Iran, Poland and Türkiye. Abbas Parchami's co-authors include M. Mashinchi, S. Mahmoud Taheri, Hamid Reza Maleki, Bahram Sadeghpour Gildeh, Zeinab Ramezani, Ali Yavari, Vahid Partovi Nia, Mehdi Jabbari Nooghabi, Başar Öztayşi and Cengiz Kahraman and has published in prestigious journals such as Information Sciences, Chemometrics and Intelligent Laboratory Systems and Soft Computing.

In The Last Decade

Abbas Parchami

35 papers receiving 466 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Abbas Parchami Iran	14	312	309	260	104	94	38	491
Sevil Şentürk Türkiye	9	180 0.6×	178 0.6×	105 0.4×	97 0.9×	41 0.4×	32	302
Alireza Faraz Belgium	19	754 2.4×	419 1.4×	210 0.8×	115 1.1×	10 0.1×	44	784
Chau‐Chen Torng Taiwan	12	281 0.9×	126 0.4×	78 0.3×	55 0.5×	15 0.2×	23	358
Ming Ha Lee Malaysia	17	801 2.6×	335 1.1×	183 0.7×	215 2.1×	12 0.1×	79	849
Kerstin Vännman Sweden	16	713 2.3×	375 1.2×	316 1.2×	101 1.0×	16 0.2×	45	802
Wei Lin Teoh Malaysia	15	684 2.2×	267 0.9×	178 0.7×	174 1.7×	10 0.1×	71	726
W. K. Chiu Hong Kong	16	599 1.9×	185 0.6×	144 0.6×	75 0.7×	11 0.1×	32	701
Lonnie C. Vance United States	7	742 2.4×	267 0.9×	230 0.9×	72 0.7×	9 0.1×	10	823
Shin‐Li Lu Taiwan	12	282 0.9×	190 0.6×	88 0.3×	45 0.4×	17 0.2×	40	381
Lam Yeh Hong Kong	15	267 0.9×	565 1.8×	71 0.3×	12 0.1×	37 0.4×	28	759

Countries citing papers authored by Abbas Parchami

Since Specialization

Citations

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

Fields of papers citing papers by Abbas Parchami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abbas Parchami

This figure shows the co-authorship network connecting the top 25 collaborators of Abbas Parchami. A scholar is included among the top collaborators of Abbas Parchami 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 Abbas Parchami. Abbas Parchami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Parchami, Abbas, Przemysław Grzegorzewski, & Maciej Romaniuk. (2025). Calculating probabilities with LR fuzzy random variables. Soft Computing. 29(15-16). 5129–5141.

Nooghabi, Mehdi Jabbari, et al.. (2024). Estimating the Generalizations of Process Capability Index Cpmk$C_{pmk}$ in the Presence of Outliers. Quality and Reliability Engineering International. 41(3). 1059–1072.

Parchami, Abbas, Przemysław Grzegorzewski, & Maciej Romaniuk. (2024). Statistical simulations with LR random fuzzy numbers. Statistical Papers. 65(6). 3583–3600. 2 indexed citations

Parchami, Abbas, et al.. (2021). (2103-6531) Monte Carlo statistical test for fuzzy quality. Iranian journal of fuzzy systems. 2 indexed citations

Parchami, Abbas. (2020). Fuzzy decision in testing hypotheses by fuzzy data: Two case studies. Iranian journal of fuzzy systems. 17(5). 127–136. 1 indexed citations

Parchami, Abbas, Bahram Sadeghpour Gildeh, & M. Mashinchi. (2017). Why Fuzzy Quality. International Journal for Quality Research. 10. 1 indexed citations

Parchami, Abbas, Bahram Sadeghpour Gildeh, S. Mahmoud Taheri, & M. Mashinchi. (2017). A general p -value-based approach for testing quality by considering fuzzy hypotheses. Journal of Intelligent & Fuzzy Systems. 32(3). 1649–1658. 2 indexed citations

Parchami, Abbas, et al.. (2017). An implication of Fuzzy ANOVA: Metal uptake and transport by corn grown on a contaminated soil. Chemometrics and Intelligent Laboratory Systems. 164. 56–63. 4 indexed citations

Parchami, Abbas, S. Mahmoud Taheri, Reinhard Karl Wolfgang Viertl, & M. Mashinchi. (2017). Minimax test for fuzzy hypotheses. Statistical Papers. 59(4). 1623–1648. 5 indexed citations

10.

Parchami, Abbas, Sezi Çevik Onar, Başar Öztayşi, & Cengiz Kahraman. (2017). Process Capability Analysis Using Interval Type-2 Fuzzy Sets. International Journal of Computational Intelligence Systems. 10(1). 721–721. 8 indexed citations

11.

Parchami, Abbas, S. Mahmoud Taheri, Bahram Sadeghpour Gildeh, & M. Mashinchi. (2016). A Simple but Efficient Approach for Testing Fuzzy Hypotheses. 4(1). 6 indexed citations

12.

Parchami, Abbas, et al.. (2013). A new generation of process capability indices based on fuzzy measurements. Journal of Applied Statistics. 41(5). 1122–1136. 17 indexed citations

13.

Mashinchi, M., et al.. (2013). A Bayesian Approach to Capability Testing Based on C_pk with Multiple Samples. Quality and Reliability Engineering International. 30(5). 615–621. 32 indexed citations

14.

Parchami, Abbas & M. Mashinchi. (2012). The evaluation of educational systems: an application study. Mathematical sciences. 6(1). 61–61. 1 indexed citations

15.

Parchami, Abbas, et al.. (2011). An application of testing fuzzy hypotheses: Soil study on the bioavailability of cadmium. Scientia Iranica. 18(3). 470–478. 11 indexed citations

16.

Parchami, Abbas, S. Mahmoud Taheri, & M. Mashinchi. (2010). Testing fuzzy hypotheses based on vague observations: a p-value approach. Statistical Papers. 53(2). 469–484. 24 indexed citations

17.

Parchami, Abbas, et al.. (2009). An effective approach for measuring the capability of manufacturing processes. Production Planning & Control. 21(3). 250–257. 8 indexed citations

18.

Parchami, Abbas, M. Mashinchi, & Vahid Partovi Nia. (2008). A Consistent Confidence Interval for Fuzzy Capability Index. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 7(1). 119–125. 13 indexed citations

19.

Parchami, Abbas, et al.. (2006). A Note on Fuzzy Process Capability Indices. Scientia Iranica. 13(4). 379–385. 13 indexed citations

20.

Parchami, Abbas, M. Mashinchi, & Hamid Reza Maleki. (2005). Confidence interval for fuzzy process capability index. International Conference on Systems. 5. 5 indexed citations

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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