Keith Phalp

2.9k citations
145 papers · 2.2k · h-index 26

Impact in

Papers in

Keith Phalp

139 papers receiving 2.1k citations

Peers

Keith Phalp
Comparison fields: 5 of 124
  • Computer Science Applications 335
  • Software 217
  • Management Information Systems 409
  • Information Systems 843
  • Applied Psychology 126
Replace Raian Ali with:
Raian Ali United Kingdom
Robert D. Macredie United Kingdom
Arie van Bennekum United States
Amela Karahasanović Norway
Pär J. Ågerfalk Sweden
Letizia Jaccheri Norway
Paul Ralph Canada
Michael Mattsson Sweden
Walid Maalej Germany
Besmira Nushi United States
Keith Phalp relative to Raian Ali United Kingdom Raian Ali's profile →
Citations per field
00.5×1.5×1.9×
Raian Ali · 1×
Citations per year

Countries citing papers authored by Keith Phalp

Since Specialization
Citations

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

Fields of papers citing papers by Keith Phalp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Keith Phalp, 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 Keith Phalp Line = papers co-authored together Keith Phalp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000211
2 2006129
3 2014121
4 202271
5 201570
6 201760
7 201557
8 201954
9 201454
10 201852
11 200046
12 199844
13 201143
14
Towards Crowdsourcing for Requirements Engineering
201441
15 200736
16 200734
17 201534
18 201932
19 201429
20
Comparing Use Case Writing Guidelines
200129

About Keith Phalp

Keith Phalp is a scholar working on Information Systems, Sociology and Political Science, Artificial Intelligence, Management Information Systems and Communication, having authored 145 papers that have together received 2.2k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (23 papers), Software Engineering Research (23 papers), Software Engineering Techniques and Practices (22 papers), Impact of Technology on Adolescents (21 papers), Service-Oriented Architecture and Web Services (19 papers), Advanced Software Engineering Methodologies (18 papers), Open Source Software Innovations (17 papers) and Social Media and Politics (13 papers). The work is most often cited by research in Computer Science Applications (335 citations), Software (217 citations), Management Information Systems (409 citations), Information Systems (843 citations) and Applied Psychology (126 citations). Keith Phalp has collaborated with scholars based in United Kingdom, Qatar and Australia. Frequent co-authors include Raian Ali, Mahmood Hosseini, Alimohammad Shahri, Karl Cox, Jacqui Taylor, John McAlaney, Martin Shepperd, Jonathan Vincent, June Verner and Steven Bleistein. Their work appears in journals such as Software Quality Journal, Information and Software Technology, Requirements Engineering, Journal of Systems and Software and Empirical 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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