Sadia Riaz

601 total citations
47 papers, 366 citations indexed

About

Sadia Riaz is a scholar working on Sociology and Political Science, Geometry and Topology and Information Systems. According to data from OpenAlex, Sadia Riaz has authored 47 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 8 papers in Geometry and Topology and 7 papers in Information Systems. Recurrent topics in Sadia Riaz's work include Analytic and geometric function theory (8 papers), Organizational and Employee Performance (4 papers) and Big Data and Business Intelligence (4 papers). Sadia Riaz is often cited by papers focused on Analytic and geometric function theory (8 papers), Organizational and Employee Performance (4 papers) and Big Data and Business Intelligence (4 papers). Sadia Riaz collaborates with scholars based in United Arab Emirates, Pakistan and Canada. Sadia Riaz's co-authors include Rutsuko Ito, Anett Schumacher, Sarfraz Nawaz Malik, Andy Lee, Shahid Mahmood, Khalida Inayat Noor, H. M. Srivastava, Matthijs A. A. van der Meer, Shailesh Jain and Qin Xin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Current Biology and Scientific Reports.

In The Last Decade

Sadia Riaz

41 papers receiving 353 citations

Peers

Sadia Riaz
Comparison fields: 5 of 95
  • Cognitive Neuroscience 110
  • Geometry and Topology 94
  • Cellular and Molecular Neuroscience 80
  • Applied Mathematics 49
  • Behavioral Neuroscience 39
Replace Philippe R. Richard with:
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Elizabeth Walter United States
Tengfei Wang China
Thomas A. Farmer United States
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Erik–Jan van Kesteren Netherlands
Philippe R. Richard Canada View profile →
Citations per field, relative to Sadia Riaz
Sadia Riaz · 1×
Citations per year, relative to Sadia Riaz
Sadia Riaz · 1×

Countries citing papers authored by Sadia Riaz

Since Specialization
Citations

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

Fields of papers citing papers by Sadia Riaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadia Riaz

This figure shows the co-authorship network connecting the top 25 collaborators of Sadia Riaz. A scholar is included among the top collaborators of Sadia Riaz 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 Sadia Riaz. Sadia Riaz 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
# Work Indexed citations
1 1
2 0
3 5
4 0
5 0
6 1
7 4
8
Construction of 'Anti-National': Framing and Othering Discourse in Indian Media
2
9 8
10 3
11 28
12 27
13 2
14 3
15 69
16
On Certain Classes of Analytic Functions Involving q-Difference Operator
1
17 1
18 1
19 0
20 12

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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