Jane Huffman Hayes

4.1k total citations · 1 hit paper
116 papers, 2.8k citations indexed

About

Jane Huffman Hayes is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Jane Huffman Hayes has authored 116 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Information Systems, 63 papers in Software and 24 papers in Computer Networks and Communications. Recurrent topics in Jane Huffman Hayes's work include Software Engineering Research (96 papers), Software Reliability and Analysis Research (51 papers) and Software Engineering Techniques and Practices (36 papers). Jane Huffman Hayes is often cited by papers focused on Software Engineering Research (96 papers), Software Reliability and Analysis Research (51 papers) and Software Engineering Techniques and Practices (36 papers). Jane Huffman Hayes collaborates with scholars based in United States, Canada and Italy. Jane Huffman Hayes's co-authors include Alex Dekhtyar, Senthil Karthikeyan Sundaram, A. Jefferson Offutt, Jane Cleland‐Huang, Andrea Zisman, Orlena Gotel, Patrick Mäder, Timothy C. Lethbridge, Alain April and Giuliano Antoniol and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and Computer.

In The Last Decade

Jane Huffman Hayes

112 papers receiving 2.6k citations

Hit Papers

Advancing candidate link generation for requirements trac... 2006 2026 2012 2019 2006 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jane Huffman Hayes United States 29 2.5k 1.4k 684 501 318 116 2.8k
Reid Holmes Canada 28 2.5k 1.0× 1.5k 1.1× 688 1.0× 670 1.3× 556 1.7× 87 3.1k
Houari Sahraoui Canada 32 2.5k 1.0× 1.6k 1.1× 947 1.4× 774 1.5× 193 0.6× 143 2.9k
Filippo Ricca Italy 32 2.4k 0.9× 1.7k 1.2× 764 1.1× 915 1.8× 152 0.5× 165 3.0k
José Carlos Maldonado Brazil 25 1.4k 0.6× 1.2k 0.9× 577 0.8× 418 0.8× 263 0.8× 202 2.2k
Francesca Arcelli Fontana Italy 30 2.4k 1.0× 1.5k 1.0× 706 1.0× 811 1.6× 317 1.0× 158 2.8k
Letha H. Etzkorn United States 21 1.5k 0.6× 840 0.6× 642 0.9× 370 0.7× 122 0.4× 94 1.8k
Václav Rajlich United States 28 3.2k 1.3× 1.6k 1.2× 1.4k 2.0× 921 1.8× 432 1.4× 96 3.5k
Malcolm Munro United Kingdom 25 1.6k 0.7× 852 0.6× 712 1.0× 530 1.1× 104 0.3× 136 2.1k
Romain Robbes Chile 31 2.9k 1.2× 1.5k 1.1× 989 1.4× 921 1.8× 517 1.6× 98 3.3k
Alex Dekhtyar United States 23 1.6k 0.7× 876 0.6× 697 1.0× 451 0.9× 190 0.6× 89 2.0k

Countries citing papers authored by Jane Huffman Hayes

Since Specialization
Citations

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

Fields of papers citing papers by Jane Huffman Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane Huffman Hayes. 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 Huffman Hayes. The network helps show where Jane Huffman Hayes may publish in the future.

Co-authorship network of co-authors of Jane Huffman Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Huffman Hayes. A scholar is included among the top collaborators of Jane Huffman Hayes 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 Huffman Hayes. Jane Huffman Hayes 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
1.
Hayes, Jane Huffman, Irit Hadar, Alessio Ferrari, et al.. (2019). Requirements Engineering (RE) for Social Good: RE Cares [Requirements]. IEEE Software. 36(1). 86–94. 4 indexed citations
2.
Hayes, Jane Huffman, et al.. (2019). University of Kentucky TraceLab Component Similarity Matrix Voting Merge. 17–20. 1 indexed citations
3.
Yu, Tingting, et al.. (2018). ConPredictor: Concurrency Defect Prediction in Real-World Applications. IEEE Transactions on Software Engineering. 45(6). 558–575. 39 indexed citations
4.
Steghöfer, Jan-Philipp, et al.. (2018). Vetting Automatically Generated Trace Links: What Information is Useful to Human Analysts?. Chalmers Research (Chalmers University of Technology). 52–63. 9 indexed citations
5.
Hayes, Jane Huffman, et al.. (2016). Effective use of analysts’ effort in automated tracing. Requirements Engineering. 23(1). 119–143. 4 indexed citations
6.
Wen, Wei, Tingting Yu, & Jane Huffman Hayes. (2016). CoLUA: Automatically Predicting Configuration Bug Reports and Extracting Configuration Options. 150–161. 15 indexed citations
7.
Li, Wenbin, Jane Huffman Hayes, Giulio Antoniol, Yann‐Gaël Guéhéneuc, & Bram Adams. (2016). Error leakage and wasted time: sensitivity and effort analysis of a requirements consistency checking process. Journal of Software Evolution and Process. 28(12). 1061–1080. 2 indexed citations
8.
Cleland‐Huang, Jane, Yonghee Shin, Adam Czauderna, et al.. (2012). Toward actionable, broadly accessible contests in software engineering. International Conference on Software Engineering. 1329–1332. 8 indexed citations
9.
Hayes, Jane Huffman, et al.. (2012). The Effect of Testability on Fault Proneness: A Case Study of the Apache HTTP Server. 153–158. 2 indexed citations
10.
Dekhtyar, Alex, et al.. (2011). Towards overcoming human analyst fallibility in the requirements tracing process.. International Conference on Software Engineering. 860–863. 6 indexed citations
11.
Hayes, Jane Huffman, et al.. (2011). Application of swarm techniques to requirements tracing. Requirements Engineering. 16(3). 209–226. 28 indexed citations
12.
Dekhtyar, Alex, et al.. (2011). On human analyst performance in assisted requirements tracing: Statistical analysis. DigitalCommons - CalPoly (California State Polytechnic University). 111–120. 34 indexed citations
13.
Ali, Nasir, Wei Wu, Giuliano Antoniol, et al.. (2010). A novel process and its implementation for the multi-objective miniaturization of software. PolyPublie (École Polytechnique de Montréal). 2 indexed citations
14.
Hayes, Jane Huffman. (2008). Authorship Attribution: A Principal Component and Linear Discriminant Analysis of the Consistent Programmer Hypothesis.. 15. 79–99. 8 indexed citations
15.
April, Alain, Jane Huffman Hayes, Alain Abran, & Reiner Dumke. (2005). Software Maintenance Maturity Model (SM mm ): the software maintenance process model: Research Articles. Journal of Software Maintenance and Evolution Research and Practice. 17(3). 197–223. 1 indexed citations
16.
Sundaram, Senthil Karthikeyan, et al.. (2005). Baselines in requirements tracing. ACM SIGSOFT Software Engineering Notes. 30(4). 1–6. 27 indexed citations
17.
Hayes, Jane Huffman, et al.. (2004). Helping analysts trace requirements: an objective look. 249–259. 69 indexed citations
18.
Hayes, Jane Huffman. (2004). On the virtues of not knowing. IEEE Software. 21(3). 74–75. 1 indexed citations
19.
Hayes, Jane Huffman, et al.. (2004). Improving requirements tracing via information retrieval. Journal of Lightwave Technology. 138–147. 201 indexed citations
20.
Patel, Sandip C. & Jane Huffman Hayes. (2002). Case Study: Teaching an Electronic Course. SHILAP Revista de lepidopterología. 2(1). 1 indexed citations

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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