Philip A. Laplante

412 citations
12 papers · 262 indexed · h-index 7

Philip A. Laplante

12 papers receiving 242 citations

Peers

Philip A. Laplante
Comparison fields: 5 of 71
  • Software 81
  • Information Systems 133
  • Computer Science Applications 21
  • Computer Networks and Communications 69
  • Signal Processing 22
Replace Mohammad Ubaidullah Bokhari with:
Mohammad Ubaidullah Bokhari India
Maria Kechagia Greece
William C. Chu Taiwan
Paulo Henrique M. Maia Brazil
Andrew Mickish United States
Charles D. Knutson United States
Ernst A. Heinz Switzerland
Kyller Gorgônio Brazil
Jeff Tian United States
Genaína Nunes Rodrigues Brazil
Philip A. Laplante relative to Mohammad Ubaidullah Bokhari India Mohammad Ubaidullah Bokhari's profile →
Citations per field
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Mohammad Ubaidullah Bokhari · 1×
Citations per year

Countries citing papers authored by Philip A. Laplante

Since Specialization
Citations

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

Fields of papers citing papers by Philip A. Laplante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Philip A. Laplante, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philip A. Laplante Line = papers co-authored together Philip A. Laplante links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20179
2 201725
3 201787
4 201723
5 20116
6
Antipatterns: Managing Software Organizations and People, Second Edition
20112
7 201031
8 20082
9 200759
10 200510
11 20035
12
Great Papers in Computer Science
19963

About Philip A. Laplante

Philip A. Laplante is a scholar working on Software, Computer Graphics and Computer-Aided Design and Development, having authored 12 papers that have together received 262 indexed citations. Recurring topics across this work include Software System Performance and Reliability (3 papers), Software Engineering Research (3 papers), Software Reliability and Analysis Research (2 papers), Software Engineering Techniques and Practices (2 papers), Big Data and Business Intelligence (1 paper), IoT and Edge/Fog Computing (1 paper), Pain Management and Opioid Use (1 paper) and Engineering Education and Technology (1 paper). The work is most often cited by research in Software (81 citations), Information Systems (133 citations) and Computer Science Applications (21 citations). Philip A. Laplante has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include W. Eric Wong, Xuelin Li, Joanna F. DeFranco, Jeffrey Voas, Huifang Sun, Yun-Qing Shi, Colin J. Neill, Lehana Thabane, Laura Zielinski and Laura Banfield. Their work appears in journals such as Computer, Journal of Systems and Software, IT Professional, Systematic Reviews and IEEE Transactions on Professional Communication.

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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