Rashid Naseem

1.1k citations
31 papers · 654 indexed · h-index 16
Topics
Software Engineering Research (15 papers)Software Reliability and Analysis Research (8 papers)Software System Performance and Reliability (7 papers)

In The Last Decade

Rashid Naseem

28 papers receiving 612 citations

Peers

Rashid Naseem
Comparison fields: 5 of 95
  • Artificial Intelligence 295
  • Information Systems 266
  • Software 148
  • Computer Networks and Communications 134
  • Health Information Management 120
Replace Manjari Gupta with:
Manjari Gupta India
Eunkyoung Jee South Korea
Márcio P. Basgalupp Brazil
S. Kanmani India
G. Narsimha India
Md. Monirul Islam India
Andrew J. Novobilski United States
Junfeng Zhao China
Chhabi Rani Panigrahi India
John S. Breese United States
Rashid Naseem relative to Manjari Gupta India Manjari Gupta's profile →
Citations per field
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Manjari Gupta · 1×
Citations per year

Countries citing papers authored by Rashid Naseem

Since Specialization
Citations

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

Fields of papers citing papers by Rashid Naseem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashid Naseem

This figure shows the co-authorship network connecting the top 25 collaborators of Rashid Naseem. A scholar is included among the top collaborators of Rashid Naseem 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 Rashid Naseem. Rashid Naseem 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 6
3 24
4 31
5 11
6
Software Cost Estimation Using Flower Pollination Algorithm
7
7 31
8 5
9 10
10 18
11 21
12 19
13 1
14 26
15 20
16 69
17 3
18 40
19 0
20 27

About Rashid Naseem

Rashid Naseem is a scholar working on Software, Health Information Management and Information Systems, having authored 31 papers that have together received 654 indexed citations. Recurring topics across this work include Software Engineering Research (15 papers), Software Reliability and Analysis Research (8 papers) and Software System Performance and Reliability (7 papers). The work is most often cited by research in Software (148 citations), Health Information Management (120 citations) and Information Systems (266 citations). Rashid Naseem has collaborated with scholars based in Pakistan, Malaysia and Saudi Arabia. Frequent co-authors include Bilal Khan, Onaiza Maqbool, Shi Cheng, Kashif Hussain, Mohd Najib Mohd Salleh, Mustafa Mat Deris, Muhammad Arif Shah, Fazal Muhammad, Sunghwan Kim and Ghulam Abbas. Their work appears in journals such as IEEE Access, Artificial Intelligence Review and Journal of Systems and Software.

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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