Muhammad Summair Raza

79 total papers · 446 total citations
23 papers, 287 citations indexed

About

Muhammad Summair Raza is a scholar working on Computational Theory and Mathematics, Information Systems and Signal Processing. According to data from OpenAlex, Muhammad Summair Raza has authored 23 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 15 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in Muhammad Summair Raza's work include Rough Sets and Fuzzy Logic (16 papers), Data Mining Algorithms and Applications (12 papers) and Data Management and Algorithms (5 papers). Muhammad Summair Raza is often cited by papers focused on Rough Sets and Fuzzy Logic (16 papers), Data Mining Algorithms and Applications (12 papers) and Data Management and Algorithms (5 papers). Muhammad Summair Raza collaborates with scholars based in Pakistan, United Kingdom and Saudi Arabia. Muhammad Summair Raza's co-authors include Usman Qamar, Muhammad Ibrahim, Said Nabi, Altaf Hussain, Karim Djemame, Khaled Salah, Abdullah Baz, Hosam Alhakami, Rasheed Hussain and Alma Oracevic and has published in prestigious journals such as IEEE Access, Pattern Recognition and Information Sciences.

In The Last Decade

Muhammad Summair Raza

23 papers receiving 274 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Muhammad Summair Raza	172	171	107	58	46	23	287
Mohamed Quafafou	125 0.7×	106 0.6×	137 1.3×	33 0.6×	44 1.0×	29	281
Jakub Wróblewski	99 0.6×	128 0.7×	114 1.1×	53 0.9×	23 0.5×	17	237
Chien-I Lee	114 0.7×	63 0.4×	177 1.7×	32 0.6×	17 0.4×	23	295
Lhouari Nourine	84 0.5×	216 1.3×	108 1.0×	31 0.5×	21 0.5×	16	330
Ahcène Bendjoudi	104 0.6×	54 0.3×	80 0.7×	96 1.7×	14 0.3×	29	270
Marcin Szczuka	100 0.6×	155 0.9×	140 1.3×	14 0.2×	24 0.5×	29	262
Yuhua Qian	113 0.7×	219 1.3×	155 1.4×	12 0.2×	80 1.7×	28	323
Saïd Jabbour	80 0.5×	140 0.8×	159 1.5×	143 2.5×	17 0.4×	40	291
Jayakrushna Sahoo	125 0.7×	71 0.4×	146 1.4×	41 0.7×	10 0.2×	29	286
T. Medhat	92 0.5×	225 1.3×	89 0.8×	10 0.2×	69 1.5×	20	326

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

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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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