Sakifa Aktar

22 total papers · 558 total citations
18 papers, 319 citations indexed

About

Sakifa Aktar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sakifa Aktar has authored 18 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sakifa Aktar's work include COVID-19 Clinical Research Studies (3 papers), Machine Learning in Healthcare (3 papers) and Artificial Intelligence in Healthcare (3 papers). Sakifa Aktar is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Machine Learning in Healthcare (3 papers) and Artificial Intelligence in Healthcare (3 papers). Sakifa Aktar collaborates with scholars based in Bangladesh, Australia and Saudi Arabia. Sakifa Aktar's co-authors include Md. Martuza Ahamad, Mohammad Ali Moni, Julian M.W. Quinn, Shahadat Uddin, Md. Rashed-Al-Mahfuz, Salem A. Alyami, Píetro Lió, AKM Azad, Md. Jamal Uddin and Matthew A. Summers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Personalized Medicine.

In The Last Decade

Sakifa Aktar

15 papers receiving 308 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sakifa Aktar 127 118 70 61 30 18 319
Suha Mohammed Hadi 130 1.0× 116 1.0× 32 0.5× 42 0.7× 19 0.6× 18 310
Valerio Guarrasi 81 0.6× 100 0.8× 57 0.8× 19 0.3× 17 0.6× 39 358
Agni Orfanoudaki 70 0.6× 121 1.0× 58 0.8× 38 0.6× 6 0.2× 16 322
M.A. Abo-Elsoud 162 1.3× 167 1.4× 30 0.4× 42 0.7× 7 0.2× 19 330
Umme Raihan Siddiqi 51 0.4× 58 0.5× 43 0.6× 20 0.3× 13 0.4× 14 268
Fatema Shaikh 53 0.4× 75 0.6× 24 0.3× 20 0.3× 3 0.1× 17 329
Jeonghun Kim 44 0.3× 67 0.6× 85 1.2× 10 0.2× 41 1.4× 28 328
Conor K. Corbin 61 0.5× 107 0.9× 15 0.2× 47 0.8× 58 1.9× 15 297
Shikah J. Alsunaidi 62 0.5× 57 0.5× 14 0.2× 23 0.4× 8 0.3× 20 294
A. H. M. Kamal 66 0.5× 53 0.4× 45 0.6× 24 0.4× 12 0.4× 34 285

Countries citing papers authored by Sakifa Aktar

Since Specialization
Citations

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

Fields of papers citing papers by Sakifa Aktar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakifa Aktar

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

All Works

Loading papers...

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