Mojtaba Ganjali

1.3k citations
122 papers · 933 · h-index 15

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 84
    • Statistical Methods and Inference 47
    • Statistical Distribution Estimation and Applications 27
    • Advanced Statistical Methods and Models 22
    • Statistical Methods in Clinical Trials 12
    • Bayesian Methods and Mixture Models 38

Mojtaba Ganjali

114 papers receiving 886 citations

Peers

Mojtaba Ganjali
Comparison fields: 5 of 107
  • Statistics and Probability 532
  • Statistics, Probability and Uncertainty 157
  • Safety, Risk, Reliability and Quality 100
  • Artificial Intelligence 156
  • Transportation 30
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D. Y. Lin United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Mojtaba Ganjali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mojtaba Ganjali Line = papers co-authored together Mojtaba Ganjali links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009157
2 201460
3 200740
4 201436
5 200535
6 201531
7 201128
8 200925
9 201421
10 201420
11 201420
12 201316
13 200914
14 201414
15 201814
16 200913
17 201512
18 201512
19
A MODEL FOR MIXED CONTINUOUS AND DISCRETE RESPONSES WITH POSSIBILITY OF MISSING RESPONSES
200312
20 201311

About Mojtaba Ganjali

Mojtaba Ganjali is a scholar working on Statistics and Probability, Artificial Intelligence, Genetics, Management Science and Operations Research and Economics and Econometrics, having authored 122 papers that have together received 933 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (84 papers), Statistical Methods and Inference (47 papers), Bayesian Methods and Mixture Models (38 papers), Statistical Distribution Estimation and Applications (27 papers), Advanced Statistical Methods and Models (22 papers), Statistical Methods in Clinical Trials (12 papers), Genetic and phenotypic traits in livestock (9 papers) and Optimal Experimental Design Methods (7 papers). The work is most often cited by research in Statistics and Probability (532 citations), Statistics, Probability and Uncertainty (157 citations), Safety, Risk, Reliability and Quality (100 citations), Artificial Intelligence (156 citations) and Transportation (30 citations). Mojtaba Ganjali has collaborated with scholars based in Iran, United Kingdom and Australia. Frequent co-authors include Damon Berridge, Changiz Eslahchi, Hamid Soori, Elaheh Ainy, Farid Zayeri, Anoshirvan Kazemnejad, Xiujun Zhang, Robert Crouchley, Roger Penn and Reza Hashemi. Their work appears in journals such as Journal of Biopharmaceutical Statistics, PLoS ONE, AStA Advances in Statistical Analysis, Journal of Applied Statistics and Journal of Statistical Computation and Simulation.

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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