Connie U. Smith

2.1k citations
97 papers · 1.7k · h-index 21

Impact in

Papers in

Connie U. Smith

84 papers receiving 1.4k citations

Peers

Connie U. Smith
Comparison fields: 5 of 60
  • Software 648
  • Computer Networks and Communications 1.4k
  • Information Systems 726
  • Artificial Intelligence 1.0k
  • Hardware and Architecture 152
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Citations per field
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Citations per year

Countries citing papers authored by Connie U. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Connie U. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Connie U. Smith. 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 Connie U. Smith. The network helps show where Connie U. Smith may publish in the future.

Co-authors

The 17 scholars most cited alongside Connie U. Smith, 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 Connie U. Smith Line = papers co-authored together Connie U. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991247
2 2000113
3 1998108
4 199389
5 200287
6 199775
7
More New Software Antipatterns: Even More Ways to Shoot Yourself in the Foot.
200353
8 200548
9 200445
10
New Software Performance AntiPatterns: More Ways to Shoot Yourself in the Foot
200237
11 201035
12 199533
13 199931
14 200730
15 200024
16
The prediction and evaluation of the performance of software from extended design specifications
198024
17
Performance Engineering Models of CORBA-based Distributed-Object Systems.
199823
18 200423
19 198021
20
Making the Business Case for Software Performance Engineering
200321

About Connie U. Smith

Connie U. Smith is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Software and Management Information Systems, having authored 97 papers that have together received 1.7k indexed citations. Recurring topics across this work include Software System Performance and Reliability (77 papers), Advanced Software Engineering Methodologies (46 papers), Software Reliability and Analysis Research (22 papers), Service-Oriented Architecture and Web Services (18 papers), Software Engineering Research (13 papers), Distributed systems and fault tolerance (13 papers), Advanced Queuing Theory Analysis (4 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Software (648 citations), Computer Networks and Communications (1.4k citations), Information Systems (726 citations), Artificial Intelligence (1.0k citations) and Hardware and Architecture (152 citations). Connie U. Smith has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Lloyd G. Williams, John Smith, Ramón Puigjaner, Antinisca Di Marco, Vittorio Cortellessa, Henrik Bohnenkamp, Boudewijn R. Haverkort, Gabriel A. Moreno, James C. Browne and Lewis M. Killian. Their work appears in journals such as Social Forces, ACM SIGMETRICS Performance Evaluation Review, Performance Evaluation, IEEE Transactions on Software Engineering and Software & Systems Modeling.

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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