Umme Laila

27 total papers · 479 total citations
13 papers, 185 citations indexed

About

Umme Laila is a scholar working on Computer Science Applications, Molecular Biology and Information Systems. According to data from OpenAlex, Umme Laila has authored 13 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Science Applications, 3 papers in Molecular Biology and 3 papers in Information Systems. Recurrent topics in Umme Laila’s work include Open Source Software Innovations (3 papers), Brain Tumor Detection and Classification (2 papers) and Technology Adoption and User Behaviour (2 papers). Umme Laila is often cited by papers focused on Open Source Software Innovations (3 papers), Brain Tumor Detection and Classification (2 papers) and Technology Adoption and User Behaviour (2 papers). Umme Laila collaborates with scholars based in Pakistan, China and South Korea. Umme Laila's co-authors include Faheem Khan, Jawad Khan, Jamil Hussain, Abdul Wahid Khan, Hüseyin Gürüler, Osman Özkaraca, Syed Abbas Ali, Khurram Mehboob, Zhi-Xiang Xu and Junqi Li and has published in prestigious journals such as Frontiers in Immunology, Frontiers in Microbiology and Sensors.

Co-authorship network of co-authors of Umme Laila

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

Umme Laila

10 papers receiving 176 citations

Fields of papers citing papers by Umme Laila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Umme Laila

Since Specialization
Citations

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

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