Mojtaba Ganjali

1.3k total citations
121 papers, 898 citations indexed

About

Mojtaba Ganjali is a scholar working on Statistics and Probability, Artificial Intelligence and Genetics. According to data from OpenAlex, Mojtaba Ganjali has authored 121 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Statistics and Probability, 44 papers in Artificial Intelligence and 10 papers in Genetics. Recurrent topics in Mojtaba Ganjali's work include Statistical Methods and Bayesian Inference (84 papers), Statistical Methods and Inference (47 papers) and Bayesian Methods and Mixture Models (38 papers). Mojtaba Ganjali is often cited by papers focused on Statistical Methods and Bayesian Inference (84 papers), Statistical Methods and Inference (47 papers) and Bayesian Methods and Mixture Models (38 papers). Mojtaba Ganjali collaborates with scholars based in Iran, United Kingdom and Australia. Mojtaba Ganjali's co-authors include Damon Berridge, Hamid Soori, Changiz Eslahchi, Elaheh Ainy, Farid Zayeri, Anoshirvan Kazemnejad, Robert Crouchley, Xiujun Zhang, Roger Penn and Reza Hashemi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Statistics in Medicine.

In The Last Decade

Mojtaba Ganjali

109 papers receiving 848 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mojtaba Ganjali Iran 14 537 157 154 112 69 121 898
D. Y. Lin United States 13 755 1.4× 127 0.8× 61 0.4× 37 0.3× 105 1.5× 22 1.1k
Michele Nichols United States 17 366 0.7× 38 0.2× 293 1.9× 58 0.5× 39 0.6× 23 1.6k
Ram C. Tripathi United States 15 368 0.7× 140 0.9× 109 0.7× 57 0.5× 46 0.7× 38 772
Yongyi Min United States 6 382 0.7× 104 0.7× 38 0.2× 12 0.1× 90 1.3× 7 764
S. R. Paul Canada 18 591 1.1× 171 1.1× 98 0.6× 23 0.2× 51 0.7× 73 894
Gengsheng Qin United States 16 429 0.8× 105 0.7× 92 0.6× 5 0.0× 34 0.5× 59 760
Andrew Titman United Kingdom 14 182 0.3× 67 0.4× 16 0.1× 9 0.1× 63 0.9× 42 639
Rosângela H. Loschi Brazil 14 235 0.4× 129 0.8× 69 0.4× 56 0.5× 68 1.0× 57 560
David Ohlssen Switzerland 11 369 0.7× 90 0.6× 76 0.5× 10 0.1× 184 2.7× 31 628
Sharon Anderson United States 12 641 1.2× 36 0.2× 118 0.8× 5 0.0× 204 3.0× 19 1.1k

Countries citing papers authored by Mojtaba Ganjali

Since Specialization
Citations

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

Fields of papers citing papers by Mojtaba Ganjali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mojtaba Ganjali

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

All Works

20 of 20 papers shown
1.
Ganjali, Mojtaba, et al.. (2023). Bayesian inference in a sample selection model with multiple selection rules. Communication in Statistics- Theory and Methods. 53(12). 4290–4310.
2.
Ganjali, Mojtaba, et al.. (2021). Challenges and strategies towards combating dust storm in Sistan based on the institutional stakeholders viewpoint. SHILAP Revista de lepidopterología. 1 indexed citations
3.
Ganjali, Mojtaba & Vahid Shalchyan. (2019). Extracting Spatial Spectral Patterns from EEG Signals for Diagnosis of Mild Cognitive Impairment. 48(4). 1741–1752. 1 indexed citations
4.
Ainy, Elaheh, et al.. (2016). Cost Estimation of Road Traffic Injuries Among Iranian Motorcyclists Using the Willingness to Pay Method. SHILAP Revista de lepidopterología. In Press(In Press). e23198–e23198. 9 indexed citations
5.
Soori, Hamid, et al.. (2015). Eliciting road traffic injuries cost among Iranian drivers′ public vehicles using willingness to pay method. International Journal of Critical Illness and Injury Science. 5(2). 108–108. 12 indexed citations
6.
Ganjali, Mojtaba, et al.. (2014). CN: a consensus algorithm for inferring gene regulatory networks using the SORDER algorithm and conditional mutual information test. Molecular BioSystems. 11(3). 942–949. 34 indexed citations
7.
Ganjali, Mojtaba, et al.. (2014). IPCA-CMI: An Algorithm for Inferring Gene Regulatory Networks based on a Combination of PCA-CMI and MIT Score. PLoS ONE. 9(4). e92600–e92600. 21 indexed citations
8.
9.
Ganjali, Mojtaba, et al.. (2013). Improving the performance of Bayesian networks in non-ignorable missing data imputation. SHILAP Revista de lepidopterología. 40(2). 3 indexed citations
10.
Ganjali, Mojtaba, et al.. (2013). A conditional Bayesian approach for testing independence in two-way contingency tables. SHILAP Revista de lepidopterología. 40(2). 2 indexed citations
11.
Ganjali, Mojtaba, et al.. (2012). A Non-Random Dropout Model for Analyzing Longitudinal Skew-Normal Response. 11(2). 101–129. 2 indexed citations
12.
Ganjali, Mojtaba, et al.. (2011). Bivariate transition model for analysing ordinal and nominal categorical responses: an application to the Labour Force Survey data. Journal of Applied Statistics. 38(4). 817–832. 3 indexed citations
13.
Ganjali, Mojtaba, et al.. (2010). An Appraisal of Methods for the Analysis of Longitudinal Ordinal Response Data with Random Dropout Using a Nonhomogeneous Markov Model. Communications in Statistics - Simulation and Computation. 39(5). 1027–1048. 1 indexed citations
14.
Ganjali, Mojtaba, et al.. (2010). A comparison of Bayesian and classical testing procedures for the association parameter in a 2x2 contingency table. Lancaster EPrints (Lancaster University). 85(1). 159–60.
15.
Ganjali, Mojtaba, et al.. (2010). A Multivariate Latent Variable Model for Mixed - Data from Continuous and Ordinal Responses with Possibility of Missing Responses. Applications and Applied Mathematics: An International Journal (AAM). 5(2). 17. 3 indexed citations
16.
Ganjali, Mojtaba, et al.. (2008). Assessing Effective Factors on Poverty Using Bayesian Networks. Social Welfare Quarterly. 7(28). 107–128. 1 indexed citations
17.
Ganjali, Mojtaba, et al.. (2008). A Comparison of Several Algorithms and Models for Analyzing Multivariate Normal Data with Missing Responses. Applications and Applied Mathematics: An International Journal (AAM). 3(1). 5. 2 indexed citations
18.
Ganjali, Mojtaba, et al.. (2008). Transition Models for Analyzing Longitudinal Data with Bivariate Mixed Ordinal and Nominal Responses. 5(1). 75–94. 1 indexed citations
19.
Ganjali, Mojtaba & Mohsen Rezaei. (2005). AN INFLUENCE APPROACH FOR SENSITIVITY ANALYSIS OF NON-RANDOM DROPOUT BASED ON THE COVARIANCE STRUCTURE. Iranian Journal of Science and Technology (Sciences). 29(2). 287–294. 4 indexed citations
20.
Ganjali, Mojtaba, et al.. (2005). Estimation Based on an Appropriate Choice of Loss Function. 4(2). 87–95. 1 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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