Gary Bradshaw

572 total citations
21 papers, 360 citations indexed

About

Gary Bradshaw is a scholar working on Information Systems, Radiological and Ultrasound Technology and Artificial Intelligence. According to data from OpenAlex, Gary Bradshaw has authored 21 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 7 papers in Radiological and Ultrasound Technology and 6 papers in Artificial Intelligence. Recurrent topics in Gary Bradshaw's work include Software Engineering Research (9 papers), Software Engineering Techniques and Practices (9 papers) and Occupational Health and Safety Research (7 papers). Gary Bradshaw is often cited by papers focused on Software Engineering Research (9 papers), Software Engineering Techniques and Practices (9 papers) and Occupational Health and Safety Research (7 papers). Gary Bradshaw collaborates with scholars based in United States and China. Gary Bradshaw's co-authors include Anas Mahmoud, Esther Thelen, Gursimran Walia, Vaibhav Anu, Nan Niu, Jeffrey C. Carver, William R. Uttal, Robert Donnelly, Ron Cole and Thomas M. Mariano and has published in prestigious journals such as Information and Software Technology, DNA and Cell Biology and Empirical Software Engineering.

In The Last Decade

Gary Bradshaw

21 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary Bradshaw United States 11 167 76 59 45 43 21 360
Doaa Shawky Egypt 9 56 0.3× 55 0.7× 21 0.4× 6 0.1× 74 1.7× 36 227
María Pérez Ecuador 9 26 0.2× 107 1.4× 5 0.1× 11 0.2× 51 1.2× 22 307
Yngve Lamo Norway 13 157 0.9× 221 2.9× 152 2.6× 2 0.0× 11 0.3× 57 447
Jean‐Philippe Pellet Switzerland 6 53 0.3× 149 2.0× 3 0.1× 6 0.1× 16 0.4× 14 299
Michael Falcone United States 8 160 1.0× 69 0.9× 23 0.4× 20 0.5× 9 308
Puneet Kapur Canada 9 73 0.4× 49 0.6× 47 0.8× 83 1.9× 15 255
Fabrizio Fioravanti Italy 9 205 1.2× 63 0.8× 151 2.6× 1 0.0× 58 1.3× 17 337
Michał R. Wróbel Poland 9 116 0.7× 103 1.4× 3 0.1× 55 1.3× 33 295
Scott Barnett Australia 11 72 0.4× 57 0.8× 26 0.4× 7 0.2× 60 1.4× 44 371
Raymond Hu United Kingdom 12 41 0.2× 300 3.9× 29 0.5× 1 0.0× 35 0.8× 20 480

Countries citing papers authored by Gary Bradshaw

Since Specialization
Citations

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

Fields of papers citing papers by Gary Bradshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Bradshaw

This figure shows the co-authorship network connecting the top 25 collaborators of Gary Bradshaw. A scholar is included among the top collaborators of Gary Bradshaw 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 Gary Bradshaw. Gary Bradshaw 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.
Anu, Vaibhav, Gursimran Walia, Gary Bradshaw, & Mohammad A. Y. Alqudah. (2019). Developing and Evaluating Learning Materials to Introduce Human Error Concepts in Software Engineering Courses: Results from Industry and Academia. 1–9. 4 indexed citations
2.
Anu, Vaibhav, et al.. (2018). Development of a human error taxonomy for software requirements: A systematic literature review. Information and Software Technology. 103. 112–124. 46 indexed citations
3.
Anu, Vaibhav, et al.. (2017). Issues and Opportunities for Human Error-Based Requirements Inspections: An Exploratory Study. 460–465. 3 indexed citations
4.
Anu, Vaibhav, Gursimran Walia, & Gary Bradshaw. (2017). Incorporating Human Error Education into Software Engineering Courses via Error-based Inspections. 39–44. 9 indexed citations
5.
6.
Anu, Vaibhav, et al.. (2016). Effectiveness of Human Error Taxonomy during Requirements Inspection: An Empirical Investigation. Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering. 2016. 531–536. 10 indexed citations
7.
Carver, Jeffrey C., et al.. (2016). Detection of Requirement Errors and Faults via a Human Error Taxonomy. 1–10. 10 indexed citations
8.
Mahmoud, Anas & Gary Bradshaw. (2016). Semantic topic models for source code analysis. Empirical Software Engineering. 22(4). 1965–2000. 13 indexed citations
9.
Anu, Vaibhav, et al.. (2016). Error Abstraction Accuracy and Fixation during Error-Based Requirements Inspections. 45–46. 2 indexed citations
10.
Walia, Gursimran, et al.. (2015). Workshop on Applications of Human Error Research to Improve Software Engineering (WAHESE 2015). 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. 51. 1019–1020. 2 indexed citations
11.
Mahmoud, Anas & Gary Bradshaw. (2015). Estimating Semantic Relatedness in Source Code. ACM Transactions on Software Engineering and Methodology. 25(1). 1–35. 15 indexed citations
12.
Niu, Nan, et al.. (2013). Departures from optimality: understanding human analyst's information foraging in assisted requirements tracing. International Conference on Software Engineering. 572–581. 24 indexed citations
13.
Niu, Nan, et al.. (2013). Departures from optimality: Understanding human analyst's information foraging in assisted requirements tracing. 2013 35th International Conference on Software Engineering (ICSE). 572–581. 20 indexed citations
14.
Niu, Nan, Anas Mahmoud, & Gary Bradshaw. (2011). Information foraging as a foundation for code navigation (NIER track). 816–819. 26 indexed citations
15.
Bradshaw, Gary, Ron Cole, & Zongge Li. (2005). A comparison of learning techniques in speech recognition. 7. 554–557. 4 indexed citations
16.
Doane, Stephanie M., et al.. (2005). The Role of Individual Differences in Dynamic Team Performance. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 49(13). 1238–1242. 2 indexed citations
17.
Mariano, Thomas M., et al.. (1994). Generation of Random Internal Deletion Derivatives of YACs by Homologous Targeting to Alu Sequences. DNA and Cell Biology. 13(3). 301–309. 7 indexed citations
18.
Uttal, William R., et al.. (1992). The Swimmer: An Integrated Computational Model of a Perceptual-Motor System. Medical Entomology and Zoology. 21 indexed citations
19.
Bradshaw, Gary, et al.. (1988). A Connectionist Expert System that Actually Works. Neural Information Processing Systems. 1. 248–255. 23 indexed citations
20.
Thelen, Esther, et al.. (1981). Spontaneous kicking in month-old infants: Manifestation of a human central locomotor program. Behavioral and Neural Biology. 32(1). 45–53. 96 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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