Mehreen Ali

511 citations
7 papers · 209 · h-index 5

Impact in

Papers in

Mehreen Ali

6 papers receiving 203 citations

Peers

Mehreen Ali
Comparison fields: 5 of 66
  • Computational Theory and Mathematics 76
  • Health Informatics 6
  • Cancer Research 44
  • Molecular Biology 136
  • Biophysics 10
Replace Muhammad Ammad-ud-din with:
Muhammad Ammad-ud-din Finland
Chunhui Cai United States
Suleiman A. Khan Finland
George Alexandru Adam Canada
Huaicheng Sun China
Delora Baptista Portugal
Sangseon Lee South Korea
Mingkun Lu China
Soufiane Mourragui Netherlands
John J. Y. Lee Canada
Mehreen Ali relative to Muhammad Ammad-ud-din Finland Muhammad Ammad-ud-din's profile →
Citations per field
00.5×1.5×
Muhammad Ammad-ud-din · 1×
Citations per year

Countries citing papers authored by Mehreen Ali

Since Specialization
Citations

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

Fields of papers citing papers by Mehreen Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Mehreen Ali, 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 Mehreen Ali Line = papers co-authored together Mehreen Ali links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2018145
2 201746
3 20147
4 20166
5
Study of Different Types of Noise and Its Effects in Communication Systems
20154
6 20231
7 20220

About Mehreen Ali

Mehreen Ali is a scholar working on Molecular Biology, Statistics and Probability, Materials Chemistry, Computer Networks and Communications and Control and Systems Engineering, having authored 7 papers that have together received 209 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (2 papers), Statistical Methods and Inference (2 papers), Gene expression and cancer classification (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cancer Genomics and Diagnostics (1 paper), Computational Drug Discovery Methods (1 paper), Sensor Technology and Measurement Systems (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Computational Theory and Mathematics (76 citations), Health Informatics (6 citations), Cancer Research (44 citations), Molecular Biology (136 citations) and Biophysics (10 citations). Mehreen Ali has collaborated with scholars based in Finland, United Kingdom and Germany. Frequent co-authors include Tero Aittokallio, Suleiman A. Khan, Krister Wennerberg, Antti J. Kangas, Jussi Gillberg, Pasi Soininen, Aki S. Havulinna, Matti Pirinen, Pekka Marttinen and Mika Ala‐Korpela. Their work appears in journals such as Journal of Machine Learning Research, BMC Medical Research Methodology, Biophysical Reviews, Bioinformatics and Journal of Ayub Medical College Abbottabad.

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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