Muhammad Summair Raza

450 citations
23 papers · 291 indexed · h-index 11
Topics
Rough Sets and Fuzzy Logic (16 papers)Data Mining Algorithms and Applications (12 papers)Multi-Criteria Decision Making (5 papers)

In The Last Decade

Muhammad Summair Raza

23 papers receiving 277 citations

Peers

Muhammad Summair Raza
Comparison fields: 5 of 64
  • Information Systems 175
  • Computational Theory and Mathematics 171
  • Artificial Intelligence 108
  • Computer Networks and Communications 61
  • Management Science and Operations Research 46
Replace Beata Zielosko with:
Beata Zielosko Poland
Guofu Feng China
Igor Chikalov Saudi Arabia
Saïd Jabbour France
Tuan-Fang Fan Taiwan
Duy-Tai Dinh Japan
Bruno Crémilleux France
Jinhong Li China
Hideya Iwasaki Japan
Zeynep Kiziltan Italy
Muhammad Summair Raza relative to Beata Zielosko Poland Beata Zielosko's profile →
Citations per field
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Beata Zielosko · 1×
Citations per year

Countries citing papers authored by Muhammad Summair Raza

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Summair Raza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Summair Raza

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Summair Raza. A scholar is included among the top collaborators of Muhammad Summair Raza 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 Muhammad Summair Raza. Muhammad Summair Raza 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
#WorkIndexed citations
1 1
2 2
3 2
4 4
5 2
6 4
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8 29
9 6
10 11
11 5
12 11
13 11
14 17
15 32
16 23
17 12
18 51
19 2
20 10

About Muhammad Summair Raza

Muhammad Summair Raza is a scholar working on Computational Theory and Mathematics, Information Systems and Signal Processing, having authored 23 papers that have together received 291 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (16 papers), Data Mining Algorithms and Applications (12 papers) and Multi-Criteria Decision Making (5 papers). The work is most often cited by research in Computational Theory and Mathematics (171 citations), Information Systems (175 citations) and Management Science and Operations Research (46 citations). Muhammad Summair Raza has collaborated with scholars based in Pakistan, United Kingdom and Saudi Arabia. Frequent co-authors include Usman Qamar, Muhammad Ibrahim, Said Nabi, Altaf Hussain, Karim Djemame, Hosam Alhakami, Abdullah Baz, Khaled Salah, Rasheed Hussain and Fatima Hussain. Their work appears in journals such as IEEE Access, Pattern Recognition and Information Sciences.

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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