Sitara Afzal

1.2k citations
16 papers · 782 indexed · 1 hit paper · h-index 12
Topics
Stock Market Forecasting Methods (5 papers)Market Dynamics and Volatility (4 papers)Machine Learning in Healthcare (2 papers)

In The Last Decade

Sitara Afzal

16 papers receiving 738 citations

Hit Papers

Human Activity Recognition via Hybrid Deep Learning Based...202220262023202420224080120

Peers

Sitara Afzal
Comparison fields: 5 of 109
  • Artificial Intelligence 323
  • Computer Vision and Pattern Recognition 193
  • Neurology 162
  • Oncology 130
  • Management Science and Operations Research 121
Replace Abdulkareem Alzahrani with:
Abdulkareem Alzahrani Saudi Arabia
Faten S. Alamri Saudi Arabia
Mohammad Kamrul Hasan Bangladesh
Syed Hamad Shirazi Pakistan
Serkan Savaş Türkiye
Shahan Yamin Siddiqui Pakistan
Bartosz Świderski Poland
I‐Jen Chiang Taiwan
Xiaoqing Zhang China
Sitara Afzal relative to Abdulkareem Alzahrani Saudi Arabia Abdulkareem Alzahrani's profile →
Citations per field
00.5×10×17.3×
Abdulkareem Alzahrani · 1×
Citations per year

Countries citing papers authored by Sitara Afzal

Since Specialization
Citations

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

Fields of papers citing papers by Sitara Afzal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sitara Afzal

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 19
3 1
4 13
5 2
6
Human Activity Recognition via Hybrid Deep Learning Based Modelbreakdown →
146
7 6
8 12
9 35
10 169
11 15
12 21
13 102
14 33
15 110
16 97

About Sitara Afzal

Sitara Afzal is a scholar working on Management Science and Operations Research, Neurology and Health Information Management, having authored 16 papers that have together received 782 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (5 papers), Market Dynamics and Volatility (4 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Neurology (162 citations), Health Information Management (75 citations) and Artificial Intelligence (323 citations). Sitara Afzal has collaborated with scholars based in South Korea, Pakistan and United Kingdom. Frequent co-authors include Irfan Mehmood, Muazzam Maqsood, Jong Weon Lee, Farhan Aadil, Oh-Young Song, Seungmin Rho, Maheen Bakhtyar, Attiq Ur Rehman, Sarah Gul and Rehan Ashraf. Their work appears in journals such as IEEE Access, Sensors and RSC Advances.

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