Saima Altaf

550 citations
38 papers · 371 · h-index 11

Impact in

Papers in

Saima Altaf

35 papers receiving 352 citations

Peers

Saima Altaf
Comparison fields: 5 of 125
  • Statistics and Probability 55
  • Ecological Modeling 16
  • Public Health, Environmental and Occupational Health 95
  • Pharmacy 16
  • Nutrition and Dietetics 47
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Citations per field
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Citations per year

Countries citing papers authored by Saima Altaf

Since Specialization
Citations

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

Fields of papers citing papers by Saima Altaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Saima Altaf, 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 Saima Altaf Line = papers co-authored together Saima Altaf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016115
2 201937
3 202027
4 201021
5 201919
6 201818
7 202011
8 201811
9 202010
10 202010
11 202010
12 201310
13 20197
14 20187
15 20106
16 20225
17
Predictors of pulmonary function test values for Pakistani children, aged 5-14 years.
20175
18
Age-specific Differences and Interrelation between Anthropometric Variables in Pakistani Children aged 2 to 19 Years
20184
19 20124
20 20194

About Saima Altaf

Saima Altaf is a scholar working on Statistics and Probability, Public Health, Environmental and Occupational Health, Physiology, Statistics, Probability and Uncertainty and Pediatrics, Perinatology and Child Health, having authored 38 papers that have together received 371 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (13 papers), Obesity, Physical Activity, Diet (12 papers), Statistical Methods and Inference (8 papers), Body Composition Measurement Techniques (5 papers), Statistical Methods and Bayesian Inference (5 papers), Advanced Statistical Process Monitoring (5 papers), Birth, Development, and Health (4 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Statistics and Probability (55 citations), Ecological Modeling (16 citations), Public Health, Environmental and Occupational Health (95 citations), Pharmacy (16 citations) and Nutrition and Dietetics (47 citations). Saima Altaf has collaborated with scholars based in Pakistan, Poland and United States. Frequent co-authors include Muhammad Aslam, Munir Ahmed, Muhammad Aslam, Aamir Saeed, Justyna Wyszyńska, Tahira Riaz, Muhammad Amanullah, Shakeel Ahmad, Muhammad Qasim and Amir Ismail. Their work appears in journals such as The R Journal, Korean Journal of Pediatrics, Journal of Statistical Computation and Simulation, Acta Paediatrica and Journal of Obesity & Metabolic Syndrome.

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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