Muhammad Waseem

119 total papers · 1.1k total citations
36 papers, 432 citations indexed

About

Muhammad Waseem is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Muhammad Waseem has authored 36 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Information Systems, 15 papers in Computer Networks and Communications and 14 papers in Artificial Intelligence. Recurrent topics in Muhammad Waseem's work include Cloud Computing and Resource Management (14 papers), Software System Performance and Reliability (10 papers) and Software Engineering Research (8 papers). Muhammad Waseem is often cited by papers focused on Cloud Computing and Resource Management (14 papers), Software System Performance and Reliability (10 papers) and Software Engineering Research (8 papers). Muhammad Waseem collaborates with scholars based in China, Finland and Australia. Muhammad Waseem's co-authors include Peng Liang, Aakash Ahmad, Mahdi Fahmideh, Tommi Mikkonen, Gastón Márquez, Amleto Di Salle, Mojtaba Shahin, Arif Ali Khan, Pekka Abrahamsson and Muhammad Azeem Akbar and has published in prestigious journals such as Scientific Reports, Environmental Research and Materials Chemistry and Physics.

In The Last Decade

Muhammad Waseem

33 papers receiving 415 citations

Hit Papers

Towards Human-Bot Collabo... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Muhammad Waseem 213 154 154 50 37 36 432
Michael J. Oudshoorn 219 1.0× 103 0.7× 100 0.6× 30 0.6× 5 0.1× 51 407
Renuka Sindhgatta 210 1.0× 56 0.4× 202 1.3× 38 0.8× 26 0.7× 37 422
Julio Ariel Hurtado Alegría 282 1.3× 75 0.5× 127 0.8× 46 0.9× 5 0.1× 55 402
Claudio Di Sipio 231 1.1× 66 0.4× 142 0.9× 84 1.7× 7 0.2× 39 421
Swati Ahirrao 171 0.8× 61 0.4× 159 1.0× 70 1.4× 12 0.3× 30 413
Gordon J. Pace 172 0.8× 111 0.7× 194 1.3× 91 1.8× 4 0.1× 72 424
Shurui Zhou 301 1.4× 94 0.6× 97 0.6× 62 1.2× 5 0.1× 30 426
Maria João Varanda Pereira 265 1.2× 67 0.4× 238 1.5× 246 4.9× 4 0.1× 76 463
Mushtaq Raza 134 0.6× 157 1.0× 94 0.6× 11 0.2× 5 0.1× 30 378
Md Jobair Hossain Faruk 168 0.8× 155 1.0× 175 1.1× 14 0.3× 10 0.3× 35 407

Countries citing papers authored by Muhammad Waseem

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Waseem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Waseem

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Waseem. A scholar is included among the top collaborators of Muhammad Waseem 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 Waseem. Muhammad Waseem 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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