Hammad Khalid

908 citations
8 papers · 724 · 1 hit paper · h-index 7

Impact in

  • Software top 5%
    • Software Engineering Research
    • Software Engineering Techniques and Practices
    • Web Data Mining and Analysis
    • Mobile and Web Applications

Papers in

    • Mobile and Web Applications 4
    • Software Engineering Research 3
    • Software Engineering Techniques and Practices 3
    • Web Data Mining and Analysis 2
    • Advanced Malware Detection Techniques 2

Hammad Khalid

7 papers receiving 711 citations

Hammad Khalid's Hit Papers

What Do Mobile App Users Complain About? 2014 · 350 citations
3500+4+8Years since publication100200300

Peers

Hammad Khalid
Comparison fields: 5 of 60
  • Software 88
  • Information Systems 411
  • Computer Science Applications 83
  • Signal Processing 162
  • Information Systems and Management 80
Replace Claudia Iacob with:
Claudia Iacob United Kingdom
Loredana Parasiliti Provenza Italy
Josh Dehlinger United States
Mona Erfani Joorabchi Canada
Tim Storer United Kingdom
Hourieh Khalajzadeh Australia
Damiano Distante Italy
Christian Stransky Germany
Martin Stettinger Austria
David Piorkowski United States
Hammad Khalid relative to Claudia Iacob United Kingdom Claudia Iacob's profile →
Citations per field
00.5×1.5×2.1×
Claudia Iacob · 1×
Citations per year

Countries citing papers authored by Hammad Khalid

Since Specialization
Citations

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

Fields of papers citing papers by Hammad Khalid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Hammad Khalid, 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 Hammad Khalid Line = papers co-authored together Hammad Khalid links everyone, so they are left out of the graph.

All Works

About Hammad Khalid

Hammad Khalid is a scholar working on Information Systems, Signal Processing, Control and Systems Engineering, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 8 papers that have together received 724 indexed citations. Recurring topics across this work include Mobile and Web Applications (4 papers), Software Engineering Research (3 papers), Software Engineering Techniques and Practices (3 papers), Advanced Malware Detection Techniques (2 papers), Web Data Mining and Analysis (2 papers), Power Systems Fault Detection (2 papers), Islanding Detection in Power Systems (2 papers) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Software (88 citations), Information Systems (411 citations), Computer Science Applications (83 citations), Signal Processing (162 citations) and Information Systems and Management (80 citations). Hammad Khalid has collaborated with scholars based in Canada, United States and Türkiye. Frequent co-authors include Ahmed E. Hassan, Meiyappan Nagappan, Emad Shihab, Stuart Mcilroy, Nasir A Ali, Abdulfetah Abdela Shobole and Zi Ye. Their work appears in journals such as IEEE Software, Electric Power Systems Research, Empirical Software Engineering and Elektronika ir Elektrotechnika.

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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