Philip J. Boland

3.1k citations
69 papers · 2.0k indexed · h-index 25
Topics
Statistical Distribution Estimation and Applications (29 papers)Reliability and Maintenance Optimization (28 papers)Software Reliability and Analysis Research (17 papers)

In The Last Decade

Philip J. Boland

67 papers receiving 1.8k citations

Peers

Philip J. Boland
Comparison fields: 5 of 119
  • Statistics and Probability 1.0k
  • Safety, Risk, Reliability and Quality 1.0k
  • Statistics, Probability and Uncertainty 555
  • Software 532
  • Management Science and Operations Research 317
Replace J. D. Esary with:
J. D. Esary United States
Ushio Sumita United States
Mark Anthony McComb United States
Bruno Tuffin France
Kai Yao China
Tomasz Rolski Poland
Ehsan S. Soofi United States
Tapan K. Nayak United States
John S. Ramberg United States
José Blanchet United States
Philip J. Boland relative to J. D. Esary United States J. D. Esary's profile →
Citations per field
00.5×1.5×2.4×
J. D. Esary · 1×
Citations per year

Countries citing papers authored by Philip J. Boland

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. Boland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip J. Boland. 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 Philip J. Boland. The network helps show where Philip J. Boland may publish in the future.

Co-authorship network of co-authors of Philip J. Boland

This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Boland. A scholar is included among the top collaborators of Philip J. Boland 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 Philip J. Boland. Philip J. Boland 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
Linking Dominations and Signatures in Network Reliability
4
2
Cost Implications of Imperfect Repair in Software Reliability
3
3 121
4 36
5 25
6 9
7 41
8 50
9 41
10 86
11 4
12 3
13 59
14 6
15 11
16 61
17 1
18 15
19 21
20 1

About Philip J. Boland

Philip J. Boland is a scholar working on Software, Statistics and Probability and Safety, Risk, Reliability and Quality, having authored 69 papers that have together received 2.0k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (29 papers), Reliability and Maintenance Optimization (28 papers) and Software Reliability and Analysis Research (17 papers). The work is most often cited by research in Software (532 citations), Statistics and Probability (1.0k citations) and Safety, Risk, Reliability and Quality (1.0k citations). Philip J. Boland has collaborated with scholars based in Ireland, United States and India. Frequent co-authors include Frank Proschan, Emad El-Neweihi, Y. L. Tong, Harshinder Singh, Seán Dineen, Bojan Čukić, Harivans Pratap Singh, Francisco J. Samaniego, Myles Hollander and Kumar Joag‐Dev. Their work appears in journals such as Operations Research, IEEE Transactions on Software Engineering and Computers & Operations Research.

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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