Saima Altaf

550 citations
38 papers · 371 indexed · h-index 11
Topics
Advanced Statistical Methods and Models (13 papers)Obesity, Physical Activity, Diet (12 papers)Statistical Methods and Inference (8 papers)
Journals
SHILAP Revista de lepidopterologíaActa PaediatricaJournal of Statistical Computation and Simulation

In The Last Decade

Saima Altaf

35 papers receiving 352 citations

Peers

Saima Altaf
Comparison fields: 5 of 125
  • Public Health, Environmental and Occupational Health 95
  • Statistics and Probability 55
  • Nutrition and Dietetics 47
  • Physiology 43
  • Ecology 35
Replace James Currall with:
James Currall United Kingdom
Steven C. Patch United States
Veronika Deffner Germany
Ahti Niinimaa Finland
Juxin Liu Canada
M. Mushfiqur Rashid United States
Nanette Nelson United States
NT Longford
S. Abeyasekera United Kingdom
C. D. Kershaw United Kingdom
Saima Altaf relative to James Currall United Kingdom James Currall's profile →
Citations per field
00.5×10.7×
James Currall · 1×
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-authorship network of co-authors of Saima Altaf

This figure shows the co-authorship network connecting the top 25 collaborators of Saima Altaf. A scholar is included among the top collaborators of Saima Altaf 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 Saima Altaf. Saima Altaf 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
#WorkIndexed citations
1 0
2 2
3 1
4 2
5 5
6 10
7 11
8 10
9 7
10 4
11
Age-specific Differences and Interrelation between Anthropometric Variables in Pakistani Children aged 2 to 19 Years
4
12 18
13 11
14 2
15 1
16
Predictors of pulmonary function test values for Pakistani children, aged 5-14 years.
5
17 1
18 4
19 4
20 21

About Saima Altaf

Saima Altaf is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Pharmacy, 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) and Statistical Methods and Inference (8 papers). The work is most often cited by research in Statistics and Probability (55 citations), Ecological Modeling (16 citations) and Public Health, Environmental and Occupational Health (95 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, Amir Ismail, Muhammad Amanullah, Muhammad Aslam and Muhammad Qasim. Their work appears in journals such as SHILAP Revista de lepidopterología, Acta Paediatrica 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026