Huzefa Kagdi

2.5k citations
51 papers · 1.8k indexed · h-index 22

Huzefa Kagdi

51 papers receiving 1.7k citations

Peers

Huzefa Kagdi
Comparison fields: 5 of 54
  • Information Systems 1.7k
  • Software 831
  • Computer Networks and Communications 459
  • Artificial Intelligence 427
  • Computer Science Applications 409
Replace Collin McMillan with:
Collin McMillan United States
Caitlin Sadowski United States
Juergen Rilling Canada
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Adrian Schröter Canada
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Michael L. Collard United States
Rahul Premraj Netherlands
Andrew J. Ko United States
Huzefa Kagdi relative to Collin McMillan United States Collin McMillan's profile →
Citations per field
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Collin McMillan · 1×
Citations per year

Countries citing papers authored by Huzefa Kagdi

Since Specialization
Citations

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

Fields of papers citing papers by Huzefa Kagdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huzefa Kagdi

This figure shows the co-authorship network connecting the top 25 collaborators of Huzefa Kagdi. A scholar is included among the top collaborators of Huzefa Kagdi 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 Huzefa Kagdi. Huzefa Kagdi 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 2
2 14
3 17
4 8
5
Assigning change requests to software developers.
9
6 81
7 63
8
Proceedings of the 6th International Workshop on Traceability in Emerging Forms of Software Engineering
2
9 86
10 48
11 61
12
Software Repositories: A Source for Traceability Links
12
13 17
14 23
15 15
16 6
17 2
18 13
19 4
20 6

About Huzefa Kagdi

Huzefa Kagdi is a scholar working on Software, Computer Science Applications and Information Systems, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Software Engineering Research (49 papers), Software Reliability and Analysis Research (23 papers) and Open Source Software Innovations (15 papers). The work is most often cited by research in Software (831 citations), Computer Science Applications (409 citations) and Information Systems (1.7k citations). Huzefa Kagdi has collaborated with scholars based in United States, Italy and Jordan. Frequent co-authors include Jonathan I. Maletic, Michael L. Collard, Denys Poshyvanyk, Malcom Gethers, Christian Bird, Bonita Sharif, Maen Hammad, Bogdan Dit, Mario Linares‐Vásquez and Andrew M. Sutton. Their work appears in journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering and Journal of Software Maintenance and Evolution Research and Practice.

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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