Emily Gibson

427 total citations
11 papers, 329 citations indexed

About

Emily Gibson is a scholar working on Computer Networks and Communications, Software and Artificial Intelligence. According to data from OpenAlex, Emily Gibson has authored 11 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 8 papers in Software and 3 papers in Artificial Intelligence. Recurrent topics in Emily Gibson's work include Software System Performance and Reliability (8 papers), Software Testing and Debugging Techniques (8 papers) and Software Reliability and Analysis Research (5 papers). Emily Gibson is often cited by papers focused on Software System Performance and Reliability (8 papers), Software Testing and Debugging Techniques (8 papers) and Software Reliability and Analysis Research (5 papers). Emily Gibson collaborates with scholars based in United States. Emily Gibson's co-authors include Lori Pollock, Sara Sprenkle, Sreedevi Sampath, David Shepherd and Amie L. Souter and has published in prestigious journals such as IEEE Transactions on Software Engineering, ACM SIGSOFT Software Engineering Notes and Journal of computing sciences in colleges.

In The Last Decade

Emily Gibson

11 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily Gibson United States 8 258 218 162 49 41 11 329
Raghavan Komondoor India 9 176 0.7× 205 0.9× 153 0.9× 68 1.4× 64 1.6× 27 327
Chu-Pan Wong United States 8 238 0.9× 284 1.3× 83 0.5× 95 1.9× 64 1.6× 10 327
Jeffrey F. Lukman United States 7 103 0.4× 206 0.9× 280 1.7× 53 1.1× 24 0.6× 12 332
Marina Polishchuk United States 6 178 0.7× 177 0.8× 116 0.7× 55 1.1× 72 1.8× 8 256
S.N. Weiss United States 4 311 1.2× 192 0.9× 73 0.5× 15 0.3× 22 0.5× 7 332
Rachel Tzoref-Brill Israel 9 220 0.9× 131 0.6× 63 0.4× 40 0.8× 9 0.2× 28 258
Patrick J. Schroeder United States 8 288 1.1× 156 0.7× 63 0.4× 24 0.5× 21 0.5× 11 305
Jochen Wuttke United States 6 184 0.7× 156 0.7× 71 0.4× 31 0.6× 21 0.5× 14 211
Brett Daniel United States 6 327 1.3× 273 1.3× 92 0.6× 62 1.3× 61 1.5× 8 378
Ziying Dai China 6 339 1.3× 292 1.3× 78 0.5× 44 0.9× 43 1.0× 15 378

Countries citing papers authored by Emily Gibson

Since Specialization
Citations

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

Fields of papers citing papers by Emily Gibson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Gibson

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

All Works

11 of 11 papers shown
1.
Sampath, Sreedevi, et al.. (2007). Applying Concept Analysis to User-Session-Based Testing of Web Applications. IEEE Transactions on Software Engineering. 33(10). 643–658. 94 indexed citations
2.
Sampath, Sreedevi, Sara Sprenkle, Emily Gibson, & Lori Pollock. (2006). Integrating customized test requirements with traditional requirements in web application testing. 23–32. 9 indexed citations
3.
Sprenkle, Sara, Emily Gibson, Sreedevi Sampath, & Lori Pollock. (2006). A case study of automatically creating test suites from web application field data. 1–9. 14 indexed citations
4.
Sampath, Sreedevi, Sara Sprenkle, Emily Gibson, & Lori Pollock. (2006). Web Application Testing with Customized Test Requirements - An Experimental Comparison Study. 266–278. 20 indexed citations
5.
Sampath, Sreedevi, Emily Gibson, Sara Sprenkle, & Lori Pollock. (2005). Coverage Criteria for Testing Web Applications. 5 indexed citations
6.
Sampath, Sreedevi, Sara Sprenkle, Emily Gibson, Lori Pollock, & Amie L. Souter. (2005). Analyzing clusters of web application user sessions. ACM SIGSOFT Software Engineering Notes. 30(4). 1–7. 11 indexed citations
7.
Sprenkle, Sara, Emily Gibson, Sreedevi Sampath, & Lori Pollock. (2005). Automated replay and failure detection for web applications. 253–262. 75 indexed citations
8.
Sampath, Sreedevi, Sara Sprenkle, Emily Gibson, Lori Pollock, & Amie L. Souter. (2005). Analyzing clusters of web application user sessions. 1–7. 6 indexed citations
9.
Sprenkle, Sara, Sreedevi Sampath, Emily Gibson, Lori Pollock, & Amie L. Souter. (2005). An empirical comparison of test suite reduction techniques for user-session-based testing of Web applications. 587–596. 50 indexed citations
10.
Shepherd, David, Emily Gibson, & Lori Pollock. (2004). Design and Evaluation of an Automated Aspect Mining Tool. Software Engineering Research and Practice. 601–607. 43 indexed citations
11.
Gibson, Emily, et al.. (2003). Parallel genetic algorithms: an exploration of weather prediction through clustered computing. Journal of computing sciences in colleges. 18(5). 272–273. 2 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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