Mohamed Alosh

2.4k total citations · 1 hit paper
30 papers, 1.7k citations indexed

About

Mohamed Alosh is a scholar working on Statistics and Probability, Management Science and Operations Research and Finance. According to data from OpenAlex, Mohamed Alosh has authored 30 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 8 papers in Management Science and Operations Research and 6 papers in Finance. Recurrent topics in Mohamed Alosh's work include Statistical Methods in Clinical Trials (16 papers), Statistical Distribution Estimation and Applications (9 papers) and Advanced Causal Inference Techniques (7 papers). Mohamed Alosh is often cited by papers focused on Statistical Methods in Clinical Trials (16 papers), Statistical Distribution Estimation and Applications (9 papers) and Advanced Causal Inference Techniques (7 papers). Mohamed Alosh collaborates with scholars based in Saudi Arabia, United States and Switzerland. Mohamed Alosh's co-authors include Abdulhamid A. Alzaid, Mohammad F. Huque, Emad‐Eldin A. A. Aly, Frank Bretz, Rafia Bhore, Ralph B. D’Agostino, Stephen Wilson, Lilly Q. Yue, Estelle Russek‐Cohen and Mark D. Rothmann and has published in prestigious journals such as Journal of the American Statistical Association, Statistics in Medicine and Journal of Applied Probability.

In The Last Decade

Mohamed Alosh

30 papers receiving 1.6k citations

Hit Papers

FIRST‐ORDER INTEGER‐VALUE... 1987 2026 2000 2013 1987 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Alosh Saudi Arabia 17 1.2k 787 335 318 309 30 1.7k
Abdulhamid A. Alzaid Saudi Arabia 13 1.1k 0.9× 786 1.0× 294 0.9× 332 1.0× 209 0.7× 54 1.6k
Marie Hušková Czechia 25 1.3k 1.1× 598 0.8× 218 0.7× 325 1.0× 396 1.3× 111 2.0k
Hira L. Koul United States 29 2.0k 1.6× 1.1k 1.4× 231 0.7× 371 1.2× 444 1.4× 115 2.6k
Ed McKenzie United Kingdom 16 797 0.7× 655 0.8× 643 1.9× 321 1.0× 254 0.8× 31 1.7k
I. V. Basawa United States 27 1.2k 1.0× 933 1.2× 353 1.1× 304 1.0× 363 1.2× 89 2.0k
Lanh Tat Tran United States 20 928 0.8× 503 0.6× 336 1.0× 361 1.1× 317 1.0× 51 1.4k
Michael H. Neumann Germany 23 784 0.7× 623 0.8× 148 0.4× 254 0.8× 327 1.1× 58 1.5k
Alexander Aue United States 19 812 0.7× 665 0.8× 152 0.5× 176 0.6× 444 1.4× 50 1.5k
Winfried Stute Germany 29 2.7k 2.2× 825 1.0× 353 1.1× 710 2.2× 311 1.0× 91 3.3k
Josef Steinebach Germany 18 657 0.5× 536 0.7× 315 0.9× 166 0.5× 155 0.5× 106 1.2k

Countries citing papers authored by Mohamed Alosh

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Alosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Alosh

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Alosh. A scholar is included among the top collaborators of Mohamed Alosh 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 Mohamed Alosh. Mohamed Alosh 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.
Alosh, Mohamed, Mohammad F. Huque, & Gary G. Koch. (2014). Statistical Perspectives on Subgroup Analysis: Testing for Heterogeneity and Evaluating Error Rate for the Complementary Subgroup. Journal of Biopharmaceutical Statistics. 25(6). 1161–1178. 9 indexed citations
2.
Alosh, Mohamed, Frank Bretz, & Mohammad F. Huque. (2013). Advanced multiplicity adjustment methods in clinical trials. Statistics in Medicine. 33(4). 693–713. 59 indexed citations
3.
Huque, Mohammad F., Mohamed Alosh, & Rafia Bhore. (2011). Addressing Multiplicity Issues of a Composite Endpoint and Its Components in Clinical Trials. Journal of Biopharmaceutical Statistics. 21(4). 610–634. 41 indexed citations
4.
Huque, Mohammad F. & Mohamed Alosh. (2011). A Consistency-Adjusted Strategy for Accommodating an Underpowered Primary Endpoint. Journal of Biopharmaceutical Statistics. 22(1). 160–179. 6 indexed citations
5.
Alosh, Mohamed & Mohammad F. Huque. (2010). A consistency‐adjusted alpha‐adaptive strategy for sequential testing. Statistics in Medicine. 29(15). 1559–1571. 21 indexed citations
6.
Alosh, Mohamed. (2009). Modeling longitudinal count data with dropouts. Pharmaceutical Statistics. 9(1). 35–45. 2 indexed citations
7.
Alosh, Mohamed. (2009). The Impact of Missing Data in a Generalized Integer-Valued Autoregression Model for Count Data. Journal of Biopharmaceutical Statistics. 19(6). 1039–1054. 18 indexed citations
8.
Alosh, Mohamed, et al.. (2009). Clinical trials and statistical analyses: what should dermatologists look for in a report?. Dermatologic Therapy. 22(3). 199–203. 5 indexed citations
9.
Alosh, Mohamed & Mohammad F. Huque. (2008). A flexible strategy for testing subgroups and overall population. Statistics in Medicine. 28(1). 3–23. 55 indexed citations
10.
Sankoh, Abdul J., Mohamed Alosh, & Mohammad F. Huque. (1999). ON THE UTILITY OF THE DIRICHLET DISTRIBUTION FOR META-ANALYSIS OF CLINICAL STUDIES. Journal of Biopharmaceutical Statistics. 9(2). 289–306. 2 indexed citations
11.
Alzaid, Abdulhamid A. & Mohamed Alosh. (1993). Some autoregressive moving average processes with generalized Poisson marginal distributions. Annals of the Institute of Statistical Mathematics. 45(2). 223–232. 73 indexed citations
12.
Alzaid, Abdulhamid A. & Mohamed Alosh. (1990). An integer-valuedpth-order autoregressive structure (INAR(p)) process. Journal of Applied Probability. 27(2). 314–324. 210 indexed citations
13.
Alosh, Mohamed & Abdulhamid A. Alzaid. (1989). On the increasing failure rate criteria. Communication in Statistics- Theory and Methods. 18(12). 4421–4436. 1 indexed citations
14.
Alosh, Mohamed. (1989). A dynamic linear model approach for disaggregating time series data. Journal of Forecasting. 8(2). 85–96. 14 indexed citations
15.
Alzaid, Abdulhamid A. & Mohamed Alosh. (1989). Ordering probability distributions by tail behavior. Statistics & Probability Letters. 8(2). 185–188. 5 indexed citations
16.
Alosh, Mohamed & Abdulhamid A. Alzaid. (1988). Integer-valued moving average (INMA) process. Statistical Papers. 29(1). 281–300. 71 indexed citations
17.
Alzaid, Abdulhamid A. & Mohamed Alosh. (1988). First‐Order Integer‐Valued Autoregressive (INAR (1)) Process: Distributional and Regression Properties. Statistica Neerlandica. 42(1). 53–61. 136 indexed citations
18.
Alzaid, Abdulhamid A., Ali Ahmed, & Mohamed Alosh. (1987). On the NBAFR (NWAFR) class of life distributions. Statistische Hefte. 28(1). 203–216. 5 indexed citations
19.
Alosh, Mohamed & Abdulhamid A. Alzaid. (1987). FIRST‐ORDER INTEGER‐VALUED AUTOREGRESSIVE (INAR(1)) PROCESS. Journal of Time Series Analysis. 8(3). 261–275. 631 indexed citations breakdown →
20.
Alosh, Mohamed. (1986). Birth Forecasting Based on Birth Order Probabilities, with Application to U.S. Data. Journal of the American Statistical Association. 81(395). 645–656. 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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