A.M. Davis

1.3k citations
15 papers · 742 · h-index 9

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Model-Driven Software Engineering Techniques
    • Software Engineering Techniques and Practices
    • Software Engineering Research
    • Service-Oriented Architecture and Web Services

Papers in

A.M. Davis

15 papers receiving 603 citations

Peers

A.M. Davis
Comparison fields: 5 of 76
  • Software 135
  • Information Systems 572
  • Management Information Systems 104
  • Artificial Intelligence 313
  • Computer Science Applications 49
Replace Kenneth S. Rubin with:
Kenneth S. Rubin United States
Heinz Züllighoven Germany
Mordechai Ben-Menachem Israel
Johan Natt och Dag Sweden
Dean Leffingwell
Lucia Rapanotti United Kingdom
Luiz Marcio Cysneiros Canada
Clive Finkelstein United Kingdom
Cornelius Ncube United Kingdom
Horst Lichter Germany
A.M. Davis relative to Kenneth S. Rubin United States Kenneth S. Rubin's profile →
Citations per field
00.5×1.7×
Kenneth S. Rubin · 1×
Citations per year

Countries citing papers authored by A.M. Davis

Since Specialization
Citations

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

Fields of papers citing papers by A.M. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside A.M. Davis, 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 A.M. Davis Line = papers co-authored together A.M. Davis links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1988145
2 2004134
3 2003122
4 1992102
5 200389
6 199381
7 199424
8 200215
9 19988
10 19987
11
Guest Editors' Introduction: Requirements Engineering
19915
12 19944
13 20024
14 20021
15 20061

About A.M. Davis

A.M. Davis is a scholar working on Artificial Intelligence, Information Systems, Software, Computational Theory and Mathematics and Management Information Systems, having authored 15 papers that have together received 742 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (11 papers), Software Engineering Techniques and Practices (8 papers), Software Engineering Research (7 papers), Model-Driven Software Engineering Techniques (3 papers), Formal Methods in Verification (2 papers), E-Learning and Knowledge Management (1 paper), Software Testing and Debugging Techniques (1 paper) and Information Technology Governance and Strategy (1 paper). The work is most often cited by research in Software (135 citations), Information Systems (572 citations), Management Information Systems (104 citations), Artificial Intelligence (313 citations) and Computer Science Applications (49 citations). A.M. Davis has collaborated with scholars based in United States and Spain. Frequent co-authors include Ann M. Hickey, Edward H. Bersoff, Pei Hsia, David Chenho Kung, Peter A. Freeman, Óscar Dieste, Ana M. Moreno and Natália Juristo. Their work appears in journals such as IEEE Software, IEEE Transactions on Software Engineering, Computer, Journal of Lightwave Technology and IEEE Latin America Transactions.

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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