Raza Ul Mustafa

483 total citations
23 papers, 230 citations indexed

About

Raza Ul Mustafa is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Raza Ul Mustafa has authored 23 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in Raza Ul Mustafa's work include Image and Video Quality Assessment (7 papers), Video Coding and Compression Technologies (4 papers) and Software-Defined Networks and 5G (3 papers). Raza Ul Mustafa is often cited by papers focused on Image and Video Quality Assessment (7 papers), Video Coding and Compression Technologies (4 papers) and Software-Defined Networks and 5G (3 papers). Raza Ul Mustafa collaborates with scholars based in Brazil, United States and Pakistan. Raza Ul Mustafa's co-authors include M. Saqib Nawaz, M. Ikram Ullah Lali, Christian Esteve Rothenberg, Tehseen Zia, Waqar Aslam, Basit Shahzad, Waqar Mehmood, Pedro Henrique Gomes, Muhammad Bilal and Kashif Saleem and has published in prestigious journals such as The Journal of Trauma: Injury, Infection, and Critical Care, Journal of Ambient Intelligence and Humanized Computing and International Journal on Semantic Web and Information Systems.

In The Last Decade

Raza Ul Mustafa

21 papers receiving 222 citations

Peers

Raza Ul Mustafa
Comparison fields: 5 of 65
  • Artificial Intelligence 75
  • Computer Networks and Communications 48
  • Information Systems 47
  • Computer Vision and Pattern Recognition 45
  • Sociology and Political Science 44
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Shaikh Arifuzzaman United States
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Citations per field, relative to Raza Ul Mustafa
Raza Ul Mustafa · 1×
Citations per year, relative to Raza Ul Mustafa
Raza Ul Mustafa · 1×

Countries citing papers authored by Raza Ul Mustafa

Since Specialization
Citations

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

Fields of papers citing papers by Raza Ul Mustafa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raza Ul Mustafa. 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 Raza Ul Mustafa. The network helps show where Raza Ul Mustafa may publish in the future.

Co-authorship network of co-authors of Raza Ul Mustafa

This figure shows the co-authorship network connecting the top 25 collaborators of Raza Ul Mustafa. A scholar is included among the top collaborators of Raza Ul Mustafa 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 Raza Ul Mustafa. Raza Ul Mustafa 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 2
2 0
3 1
4 1
5 4
6 1
7 1
8 16
9 3
10 11
11 21
12 14
13 6
14 7
15 3
16 8
17 40
18 17
19 30
20 28

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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