Muhammad Waseem

1.2k citations
38 papers · 452 indexed · 1 hit paper · h-index 13
Topics
Cloud Computing and Resource Management (14 papers)Software System Performance and Reliability (10 papers)Software Engineering Research (8 papers)
Partner nations
ChinaFinlandAustralia

In The Last Decade

Muhammad Waseem

34 papers receiving 434 citations

Hit Papers

Towards Human-Bot Collaborative Software Architecting wit...20232026202420252023255075

Peers

Muhammad Waseem
Comparison fields: 5 of 72
  • Information Systems 219
  • Computer Networks and Communications 161
  • Artificial Intelligence 160
  • Software 51
  • Health Informatics 37
Replace Kailong Wang with:
Kailong Wang China
Nahia Delgado Spain
Baleegh Ahmad Canada
James C. Davis United States
Irene Li United States
Timothy R. McIntosh Australia
Ioana Baldini United States
Kshitiz Aryal United States
Nelson F. Liu United States
Zhipeng Gao China
Muhammad Waseem relative to Kailong Wang China Kailong Wang's profile →
Citations per field
00.5×2.6×
Kailong Wang · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 0
5 9
6 10
7 2
8 0
9 5
10 1
11 21
12 15
13 2
14
Towards Human-Bot Collaborative Software Architecting with ChatGPTbreakdown →
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15 45
16 12
17 5
18 1
19 23
20 1

About Muhammad Waseem

Muhammad Waseem is a scholar working on Information Systems, Health Informatics and Information Systems and Management, having authored 38 papers that have together received 452 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (14 papers), Software System Performance and Reliability (10 papers) and Software Engineering Research (8 papers). The work is most often cited by research in Health Informatics (37 citations), Software (51 citations) and Information Systems (219 citations). Muhammad Waseem has collaborated with scholars based in China, Finland and Australia. Frequent co-authors include Peng Liang, Aakash Ahmad, Tommi Mikkonen, Mahdi Fahmideh, Gastón Márquez, Amleto Di Salle, Mojtaba Shahin, Arif Ali Khan, Pekka Abrahamsson and Muhammad Azeem Akbar. Their work appears in journals such as Scientific Reports, Environmental Research and Materials Chemistry and Physics.

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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