Jane Cleland‐Huang
- Information Systems top 0.05%
- Artificial Intelligence top 0.5%
- Software top 0.2%
- Computer Networks and Communications top 1%
- Computer Science Applications top 0.5%
- Co-authors
- Raffaella SettimiMehdi MirakhorliXuchang ZouChuan DuanPatrick MäderBamshad MobasherCarl K. ChangCarlos Castro-Herrera
- Topics
- Software Engineering Research (137 papers)Software Engineering Techniques and Practices (88 papers)Advanced Software Engineering Methodologies (71 papers)
- Partner nations
- United StatesAustriaCanada
In The Last Decade
Jane Cleland‐Huang
209 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 78
- Information Systems 4.0k
- Artificial Intelligence 1.7k
- Software 1.6k
- Computer Networks and Communications 806
- Computer Science Applications 413
Countries citing papers authored by Jane Cleland‐Huang
This map shows the geographic impact of Jane Cleland‐Huang'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 Jane Cleland‐Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Cleland‐Huang more than expected).
Fields of papers citing papers by Jane Cleland‐Huang
This network shows the impact of papers produced by Jane Cleland‐Huang. 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 Jane Cleland‐Huang. The network helps show where Jane Cleland‐Huang may publish in the future.
Co-authorship network of co-authors of Jane Cleland‐Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Jane Cleland‐Huang. A scholar is included among the top collaborators of Jane Cleland‐Huang 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 Jane Cleland‐Huang. Jane Cleland‐Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | Traceability Gap Analysis for Assessing the Conformance of Software Traceability to Relevant Guidelines. | 1 |
| 8 | Mining Domain Knowledge | 2 |
| 9 | 35 | |
| 10 | 12 | |
| 11 | 42 | |
| 12 | 47 | |
| 13 | 8 | |
| 14 | Tracing architectural concerns in high assurance systems. | 2 |
| 15 | 6 | |
| 16 | 148 | |
| 17 | 17 | |
| 18 | 34 | |
| 19 | 74 | |
| 20 | Software by Numbers: Strategies for High Return, Low Risk Application Development | 2 |
About Jane Cleland‐Huang
Jane Cleland‐Huang is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 215 papers that have together received 4.6k indexed citations. Recurring topics across this work include Software Engineering Research (137 papers), Software Engineering Techniques and Practices (88 papers) and Advanced Software Engineering Methodologies (71 papers). The work is most often cited by research in Software (1.6k citations), Information Systems (4.0k citations) and Computer Science Applications (413 citations). Jane Cleland‐Huang has collaborated with scholars based in United States, Austria and Canada. Frequent co-authors include Raffaella Settimi, Mehdi Mirakhorli, Xuchang Zou, Chuan Duan, Patrick Mäder, Bamshad Mobasher, Carl K. Chang, Carlos Castro-Herrera, Jane Huffman Hayes and Andrea Zisman. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Software Engineering and Computer.
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.