Peter Hearty

596 total citations
7 papers, 414 citations indexed

About

Peter Hearty is a scholar working on Software, Information Systems and Artificial Intelligence. According to data from OpenAlex, Peter Hearty has authored 7 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Software, 5 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Peter Hearty's work include Software Reliability and Analysis Research (7 papers), Software Engineering Research (5 papers) and Bayesian Modeling and Causal Inference (3 papers). Peter Hearty is often cited by papers focused on Software Reliability and Analysis Research (7 papers), Software Engineering Research (5 papers) and Bayesian Modeling and Causal Inference (3 papers). Peter Hearty collaborates with scholars based in United Kingdom, Poland and Mexico. Peter Hearty's co-authors include Norman Fenton, Martin Neil, David G. Márquez, William Marsh, Paul Krause and Łukasz Radliński and has published in prestigious journals such as IEEE Transactions on Software Engineering, Reliability Engineering & System Safety and Information and Software Technology.

In The Last Decade

Peter Hearty

7 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Hearty United Kingdom	6	294	294	99	76	69	7	414
Elisabeth A. Strunk United States	8	92 0.3×	82 0.3×	80 0.8×	99 1.3×	32 0.5×	14	266
Xia Cai China	9	171 0.6×	147 0.5×	43 0.4×	61 0.8×	29 0.4×	18	274
Charles B. Weinstock United States	10	85 0.3×	118 0.4×	105 1.1×	86 1.1×	41 0.6×	23	271
Barbara Kordy Luxembourg	5	50 0.2×	228 0.8×	55 0.6×	153 2.0×	14 0.2×	9	281
Ken Keefe United States	6	48 0.2×	164 0.6×	29 0.3×	155 2.0×	22 0.3×	11	265
Junbeom Yoo South Korea	13	273 0.9×	53 0.2×	35 0.4×	19 0.3×	103 1.5×	53	411
Julien Delange United States	9	118 0.4×	53 0.2×	87 0.9×	37 0.5×	26 0.4×	28	240
Malcolm Wallace United Kingdom	7	119 0.4×	57 0.2×	159 1.6×	85 1.1×	15 0.2×	14	257
Pepijn Crouzen Germany	7	159 0.5×	26 0.1×	55 0.6×	59 0.8×	82 1.2×	11	271
C. Beounes France	5	187 0.6×	73 0.2×	46 0.5×	147 1.9×	21 0.3×	5	313

Countries citing papers authored by Peter Hearty

Since Specialization

Citations

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

Fields of papers citing papers by Peter Hearty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Hearty

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Hearty. A scholar is included among the top collaborators of Peter Hearty 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 Peter Hearty. Peter Hearty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Hearty, Peter, Norman Fenton, David G. Márquez, & Martin Neil. (2008). Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model. IEEE Transactions on Software Engineering. 35(1). 124–137. 53 indexed citations

2.

Fenton, Norman, Martin Neil, William Marsh, et al.. (2008). On the effectiveness of early life cycle defect prediction with Bayesian Nets. Empirical Software Engineering. 13(5). 499–537. 93 indexed citations

3.

Neil, Martin, et al.. (2007). Modelling dependable systems using hybrid Bayesian networks. Reliability Engineering & System Safety. 93(7). 933–939. 50 indexed citations

4.

Fenton, Norman, Martin Neil, William Marsh, et al.. (2007). Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction. View. 2–2. 31 indexed citations

5.

Neil, Martin, et al.. (2006). Modeling dependable systems using hybrid Bayesian networks. 15. 5 pp.–823. 52 indexed citations

6.

Fenton, Norman, Martin Neil, William Marsh, et al.. (2006). Predicting software defects in varying development lifecycles using Bayesian nets. Information and Software Technology. 49(1). 32–43. 132 indexed citations

7.

Hearty, Peter, et al.. (2005). Automated population of causal models for improved software risk assessment. 433–434. 3 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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