Anita Carleton

1.0k total citations
14 papers, 440 citations indexed

About

Anita Carleton is a scholar working on Information Systems, Software and Management Information Systems. According to data from OpenAlex, Anita Carleton has authored 14 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 7 papers in Software and 2 papers in Management Information Systems. Recurrent topics in Anita Carleton's work include Software Reliability and Analysis Research (7 papers), Software Engineering Research (6 papers) and Software Engineering Techniques and Practices (6 papers). Anita Carleton is often cited by papers focused on Software Reliability and Analysis Research (7 papers), Software Engineering Research (6 papers) and Software Engineering Techniques and Practices (6 papers). Anita Carleton collaborates with scholars based in United States, China and Hong Kong. Anita Carleton's co-authors include William A. Florac, Daniel J. Paulish, David Zubrow, Jane Siegel, James D. Herbsleb, Michael R. Lyu, Forrest Shull, Sigrid Eldh, Tao Xie and Tim Menzies and has published in prestigious journals such as Computer, IEEE Software and Journal of Systems and Software.

In The Last Decade

Anita Carleton

14 papers receiving 386 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anita Carleton United States 8 369 160 128 56 53 14 440
William A. Florac United States 3 257 0.7× 116 0.7× 89 0.7× 44 0.8× 44 0.8× 3 307
D.N. Card United States 12 427 1.2× 260 1.6× 68 0.5× 89 1.6× 58 1.1× 29 499
Martin Ivarsson Sweden 7 339 0.9× 88 0.6× 70 0.5× 108 1.9× 44 0.8× 12 409
M. Mejías Spain 14 324 0.9× 150 0.9× 59 0.5× 75 1.3× 81 1.5× 50 446
Walker Royce United States 9 280 0.8× 111 0.7× 65 0.5× 90 1.6× 46 0.9× 15 369
Suzanne Garcia United States 8 223 0.6× 63 0.4× 103 0.8× 41 0.7× 23 0.4× 18 302
Philipp Diebold Germany 11 368 1.0× 57 0.4× 80 0.6× 79 1.4× 84 1.6× 41 436
David N. Card United States 11 395 1.1× 249 1.6× 39 0.3× 131 2.3× 89 1.7× 22 460
Rose Pajerski United States 9 318 0.9× 134 0.8× 89 0.7× 72 1.3× 33 0.6× 16 394
Marcus Ciolkowski Germany 13 497 1.3× 186 1.2× 57 0.4× 120 2.1× 70 1.3× 40 566

Countries citing papers authored by Anita Carleton

Since Specialization
Citations

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

Fields of papers citing papers by Anita Carleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anita Carleton

This figure shows the co-authorship network connecting the top 25 collaborators of Anita Carleton. A scholar is included among the top collaborators of Anita Carleton 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 Anita Carleton. Anita Carleton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Carleton, Anita, Davide Falessi, Hongyu Zhang, & Xin Xia. (2024). Generative AI: Redefining the Future of Software Engineering. IEEE Software. 41(6). 34–37. 4 indexed citations
2.
Carleton, Anita, et al.. (2022). Architecting the Future of Software Engineering. Computer. 55(9). 89–93. 7 indexed citations
3.
Cunningham, Robert, Anita Carleton, Tom Longstaff, & Forrest Shull. (2021). A Research Road Map for Building Secure and Resilient Software-Intensive Systems. IEEE Security & Privacy. 19(6). 8–14. 1 indexed citations
4.
Carleton, Anita, et al.. (2020). Expert Perspectives on AI. IEEE Software. 37(4). 87–94. 1 indexed citations
5.
Carleton, Anita, et al.. (2020). The AI Effect: Working at the Intersection of AI and SE. IEEE Software. 37(4). 26–35. 20 indexed citations
6.
Shull, Forrest, Anita Carleton, Jeromy Carrière, Rafael Prikladnicki, & Dongmei Zhang. (2015). The Future of Software Engineering. IEEE Software. 33(1). 32–35. 9 indexed citations
7.
Carleton, Anita, et al.. (2010). Extending Team Software Process (TSP) to Systems Engineering: A NAVAIR Experience Report. Figshare. 3 indexed citations
8.
Emam, Khaled El & Anita Carleton. (2004). Applications of statistics in software engineering. Journal of Systems and Software. 73(2). 181–182. 1 indexed citations
9.
Carleton, Anita, et al.. (2002). Transition packages: an experiment in expediting the introduction of requirements management. 138–145. 11 indexed citations
10.
Curtis, Bruce & Anita Carleton. (2002). Seven±two software measurement conundrums. 96–105. 4 indexed citations
11.
Florac, William A., et al.. (2000). Statistical process control: analyzing space shuttle onboard software process. IEEE Software. 17(4). 97–106. 53 indexed citations
12.
Florac, William A. & Anita Carleton. (1999). Measuring the Software Process: Statistical Process Control for Software Process Improvement. CERN Document Server (European Organization for Nuclear Research). 134 indexed citations
13.
Herbsleb, James D., et al.. (1994). Benefits of CMM-Based Software Process Improvement: Initial Results. Defense Technical Information Center (DTIC). 113 indexed citations
14.
Paulish, Daniel J. & Anita Carleton. (1994). Case studies of software-process-improvement measurement. Computer. 27(9). 50–57. 79 indexed citations

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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Rankless by CCL
2026