Stacy Prowell

905 citations
30 papers · 524 indexed · h-index 12
Topics
Software Reliability and Analysis Research (12 papers)Advanced Malware Detection Techniques (9 papers)Software Engineering Research (9 papers)
Partner nations
United States

In The Last Decade

Stacy Prowell

29 papers receiving 466 citations

Peers

Stacy Prowell
Comparison fields: 5 of 51
  • Software 221
  • Information Systems 190
  • Artificial Intelligence 166
  • Computer Networks and Communications 165
  • Electrical and Electronic Engineering 117
Replace Gehan Selim with:
Gehan Selim Canada
Shengjian Guo United States
Ludovic Apvrille France
Mohamed Kaâniche France
Mengshi Zhang United States
Gunel Jahangirova Switzerland
Nathan Fulton United States
Bernhard K. Aichernig Austria
Jim Alves-Foss United States
Stacy Prowell relative to Gehan Selim Canada Gehan Selim's profile →
Citations per field
00.5×3.5×
Gehan Selim · 1×
Citations per year

Countries citing papers authored by Stacy Prowell

Since Specialization
Citations

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

Fields of papers citing papers by Stacy Prowell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stacy Prowell

This figure shows the co-authorship network connecting the top 25 collaborators of Stacy Prowell. A scholar is included among the top collaborators of Stacy Prowell 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 Stacy Prowell. Stacy Prowell 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 0
2 1
3 9
4 17
5 95
6 10
7 1
8 3
9 3
10 3
11 3
12 7
13 10
14 31
15 7
16 50
17 16
18
Cleanroom software engineering: technology and process
101
19 12
20 10

About Stacy Prowell

Stacy Prowell is a scholar working on Software, Signal Processing and Information Systems, having authored 30 papers that have together received 524 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (12 papers), Advanced Malware Detection Techniques (9 papers) and Software Engineering Research (9 papers). The work is most often cited by research in Software (221 citations), Signal Processing (112 citations) and Hardware and Architecture (59 citations). Stacy Prowell has collaborated with scholars based in United States. Frequent co-authors include Jesse H. Poore, Richard C. Linger, Carmen J. Trammell, Robert A. Bridges, Michael S. Starr, Michael Moore, Himanshu Thapliyal, Teja Kuruganti, Bryan Lyles and Saraju P. Mohanty. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Software Engineering.

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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