Qasim Umer

1.0k citations
30 papers · 697 · h-index 15

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 668 citations

Peers

Qasim Umer
Comparison fields: 5 of 80
  • Software 243
  • Information Systems 400
  • Computer Networks and Communications 166
  • Signal Processing 75
  • Computer Science Applications 32
Replace Irman Hermadi with:
Irman Hermadi Indonesia
Gopal Krishna India
Hoa Khanh Dam Australia
Sanjay Kumar Dubey India
Na Meng United States
Seyed Mohammad Hossein Hasheminejad Iran
Rafaqut Kazmi Pakistan
Radek Šilhavý Czechia
Abdelaziz Marzak Morocco
Alfonso Rodríguez Chile
Qasim Umer relative to Irman Hermadi Indonesia Irman Hermadi's profile →
Citations per field
00.5×2.5×
Irman Hermadi · 1×
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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019141
2 202283
3 201969
4 201868
5 201968
6 202350
7 202227
8 202022
9 202122
10 201921
11 202316
12 202315
13 202315
14 202314
15 201914
16 201910
17 20226
18 20206
19 20216
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 30 papers that have together received 697 indexed citations. Recurring topics across this work include Software Engineering Research (14 papers), Advanced Malware Detection Techniques (6 papers), Software System Performance and Reliability (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Software Engineering Techniques and Practices (4 papers), Open Source Software Innovations (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Software (243 citations), Information Systems (400 citations), Computer Networks and Communications (166 citations), Signal Processing (75 citations) and Computer Science Applications (32 citations). Qasim Umer has collaborated with scholars based in China, Pakistan and South Korea. Frequent co-authors include Xuesong Li, Ping Guo, Hui Liu, Rab Nawaz Bashir, Fahad Asmi, Muhammad Tausif, Malik Muhammad Ali Shahid, Chao Zhu, Salman Iqbal and Yin Xu. 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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