Ed Seidewitz

845 citations
34 papers · 473 · h-index 11

Impact in

  • Software top 2%
    • Model-Driven Software Engineering Techniques
    • Software Reliability and Analysis Research
    • Service-Oriented Architecture and Web Services
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

    • Advanced Software Engineering Methodologies 13
    • Logic, programming, and type systems 4
    • Service-Oriented Architecture and Web Services 5
    • Software Engineering Research 4

Ed Seidewitz

29 papers receiving 410 citations

Peers

Ed Seidewitz
Comparison fields: 5 of 55
  • Software 212
  • Information Systems 248
  • Management Information Systems 78
  • Artificial Intelligence 251
  • Hardware and Architecture 29
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Countries citing papers authored by Ed Seidewitz

Since Specialization
Citations

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

Fields of papers citing papers by Ed Seidewitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Ed Seidewitz, 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 Ed Seidewitz Line = papers co-authored together Ed Seidewitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003205
2 198738
3 202229
4 198922
5 201420
6 198719
7
Towards a general object-oriented software development methodology
198616
8
Executable Modeling with fUML and Alf in Papyrus: Tooling and Experiments.
201513
9 199211
10 199111
11 198710
12 20147
13 19887
14 20167
15
Tool Paper: Combining Alf and UML in Modeling Tools - An Example with Papyrus -.
20157
16 20166
17 19916
18 20145
19 20205
20 20175

About Ed Seidewitz

Ed Seidewitz is a scholar working on Artificial Intelligence, Information Systems, Software, Computer Networks and Communications and Aerospace Engineering, having authored 34 papers that have together received 473 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (13 papers), Model-Driven Software Engineering Techniques (9 papers), Service-Oriented Architecture and Web Services (5 papers), Simulation Techniques and Applications (5 papers), Distributed and Parallel Computing Systems (5 papers), Software Engineering Research (4 papers), Logic, programming, and type systems (4 papers) and Inertial Sensor and Navigation (4 papers). The work is most often cited by research in Software (212 citations), Information Systems (248 citations), Management Information Systems (78 citations), Artificial Intelligence (251 citations) and Hardware and Architecture (29 citations). Ed Seidewitz has collaborated with scholars based in United States and France. Frequent co-authors include Ivar Jacobson, Manas Bajaj, Sanford Friedenthal, F. Landis Markley, Ian Spence, Mark Nicholson, Saadia Dhouib, Arnaud Cuccuru, Sébastien Gérard and Brad Cox. Their work appears in journals such as Queue, Communications of the ACM, Journal of Systems and Software, ACM SIGPLAN Notices and IEEE Software.

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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