Qasim Umer

1.0k citations
29 papers · 655 · h-index 14

Impact in

  • Software top 2%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

Qasim Umer

28 papers receiving 618 citations

Peers

Qasim Umer
Comparison fields: 5 of 79
  • Software 232
  • Information Systems 383
  • Computer Networks and Communications 161
  • Signal Processing 72
  • Computer Science Applications 32
Replace Hoa Khanh Dam with:
Hoa Khanh Dam Australia
Seyed Mohammad Hossein Hasheminejad Iran
Na Meng United States
Gopal Krishna India
Rafaqut Kazmi Pakistan
Abdelaziz Marzak Morocco
Alfonso Rodríguez Chile
Cuauhtémoc López‐Martín Mexico
Pasquale Salza Italy
Muhammed Basheer Jasser Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Qasim Umer

Since Specialization
Citations

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

Fields of papers citing papers by Qasim Umer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qasim Umer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qasim Umer Line = papers co-authored together Qasim Umer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019127
2 202275
3 201868
4 201967
5 201967
6 202346
7 202022
8 202222
9 202121
10 201920
11 202316
12 202314
13 202314
14 201914
15 202313
16 201910
17 20206
18 20216
19 20225
20 20225

About Qasim Umer

Qasim Umer is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Computer Science Applications, having authored 29 papers that have together received 655 indexed citations. Recurring topics across this work include Software Engineering Research (14 papers), Advanced Malware Detection Techniques (6 papers), Open Source Software Innovations (4 papers), Software Engineering Techniques and Practices (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Software System Performance and Reliability (4 papers), Software Reliability and Analysis Research (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Software (232 citations), Information Systems (383 citations), Computer Networks and Communications (161 citations), Signal Processing (72 citations) and Computer Science Applications (32 citations). Qasim Umer has collaborated with scholars based in China, Pakistan and South Korea. Frequent co-authors include Hui Liu, Ping Guo, Xuesong Li, Rab Nawaz Bashir, Fahad Asmi, Muhammad Tausif, Zhiyan Liu, Malik Muhammad Ali Shahid, Yin Xu and Chao Zhu. Their work appears in journals such as IEEE Access, Journal of Systems and Software, Journal of Environmental Management, Internet of Things and Empirical Software Engineering.

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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