Lucas Layman

1.9k total citations
61 papers, 1.3k citations indexed

About

Lucas Layman is a scholar working on Information Systems, Computer Science Applications and Software. According to data from OpenAlex, Lucas Layman has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Information Systems, 19 papers in Computer Science Applications and 18 papers in Software. Recurrent topics in Lucas Layman's work include Software Engineering Research (34 papers), Software Engineering Techniques and Practices (32 papers) and Software Reliability and Analysis Research (17 papers). Lucas Layman is often cited by papers focused on Software Engineering Research (34 papers), Software Engineering Techniques and Practices (32 papers) and Software Reliability and Analysis Research (17 papers). Lucas Layman collaborates with scholars based in United States, Finland and Canada. Lucas Layman's co-authors include Laurie Williams, Tim Menzies, Laurie Williams, Daniela Damian, Lynn Cunningham, Forrest Shull, Burak Turhan, Andrew Butcher, David R. Cok and Thomas Zimmermann and has published in prestigious journals such as IEEE Transactions on Software Engineering, Computer and IEEE Software.

In The Last Decade

Lucas Layman

58 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucas Layman United States 18 1.0k 426 371 162 149 61 1.3k
Jürgen Börstler Sweden 19 955 0.9× 484 1.1× 435 1.2× 170 1.0× 329 2.2× 113 1.4k
Norsaremah Salleh Malaysia 16 869 0.9× 318 0.7× 143 0.4× 197 1.2× 199 1.3× 62 1.4k
Robert R. Kessler United States 13 1.0k 1.0× 672 1.6× 203 0.5× 139 0.9× 249 1.7× 55 1.5k
Maristella Matera Italy 18 731 0.7× 160 0.4× 259 0.7× 280 1.7× 288 1.9× 116 1.4k
James E. Tomayko United States 15 782 0.8× 248 0.6× 195 0.5× 143 0.9× 192 1.3× 42 1.1k
Yunwen Ye United States 14 735 0.7× 660 1.5× 118 0.3× 111 0.7× 203 1.4× 31 1.3k
Murray Wood United Kingdom 24 1.1k 1.0× 382 0.9× 601 1.6× 185 1.1× 341 2.3× 59 1.4k
Nathan Baddoo United Kingdom 17 1.1k 1.1× 299 0.7× 287 0.8× 132 0.8× 141 0.9× 36 1.3k
Aurora Vizcaíno Spain 19 1.0k 1.0× 400 0.9× 82 0.2× 120 0.7× 330 2.2× 114 1.3k
Richard J. LeBlanc United States 18 693 0.7× 406 1.0× 220 0.6× 407 2.5× 292 2.0× 82 1.4k

Countries citing papers authored by Lucas Layman

Since Specialization
Citations

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

Fields of papers citing papers by Lucas Layman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucas Layman

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

All Works

20 of 20 papers shown
1.
Layman, Lucas, et al.. (2022). Interdisciplinary Collaboration Among Nursing and Computer Science to Refine a Pharmacogenetics Clinical Decision Support Tool Via Mobile Application. CIN Computers Informatics Nursing. 41(6). 442–448. 1 indexed citations
2.
Layman, Lucas, et al.. (2022). Refinement of a pharmacogenomics app for dosing guidelines for oncology: findings from the usability evaluation. Annals of Translational Medicine. 10(23). 1261–1261. 3 indexed citations
3.
Kline, Douglas, et al.. (2019). Daily Text Analytics of News and Social Media with Power BI. 13(2). 1 indexed citations
4.
Layman, Lucas, et al.. (2016). Topic modeling of NASA space system problem reports. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 303–314. 12 indexed citations
5.
Layman, Lucas, Carolyn Seaman, Davide Falessi, & Madeline Diep. (2015). Ask the engineers: exploring repertory grids and personal constructs for software data analysis. International Conference on Software Engineering. 81–84. 2 indexed citations
6.
Layman, Lucas, et al.. (2014). Human factors in webserver log file analysis. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–11. 2 indexed citations
7.
Turhan, Burak, Lucas Layman, Madeline Diep, Hakan Erdogmus, & Forrest Shull. (2011). How Effective Is Test-Driven Development?. Biodiversity Data Journal. 11. 207–220. 26 indexed citations
8.
Layman, Lucas, Victor R. Basili, Marvin V. Zelkowitz, & Karen L. Fisher. (2011). A case study of measuring process risk for early insights into software safety. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 623–632. 9 indexed citations
9.
Layman, Lucas, Victor R. Basili, & Marvin V. Zelkowitz. (2010). The Role and Quality of Software Safety in the NASA Constellation Program. 2 indexed citations
10.
Basili, Victor R., et al.. (2010). Obtaining valid safety data for software safety measurement and process improvement. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–4. 4 indexed citations
11.
Layman, Lucas, et al.. (2008). Addressing diverse needs through a balance of agile and plan-driven software development methodologies in the core software engineering course. International journal of engineering education. 24(4). 659–670. 17 indexed citations
12.
Layman, Lucas, et al.. (2008). Mining software effort data. 43–46. 14 indexed citations
13.
Layman, Lucas, Laurie Williams, & Robert St. Amant. (2008). MimEc. 73–76. 13 indexed citations
14.
Layman, Lucas, et al.. (2008). Iterative identification of fault-prone binaries using in-process metrics. Data Archiving and Networked Services (DANS). 206–212. 18 indexed citations
15.
Layman, Lucas, et al.. (2007). Note to self. ACM SIGCSE Bulletin. 39(1). 459–463. 14 indexed citations
16.
Layman, Lucas, Laurie Williams, & Robert St. Amant. (2007). Toward reducing fault fix time: Understanding developer behavior for the design of automated fault detection tools, the full report. NCSU Libraries Repository (North Carolina State University Libraries).
17.
18.
Williams, Laurie, et al.. (2006). Examining the Compatibility of Student Pair Programmers. 411–420. 63 indexed citations
19.
Williams, Laurie, et al.. (2004). Exploring the use of a .safe subset. of extreme programming: An industrial case study. NCSU Libraries Repository (North Carolina State University Libraries). 1 indexed citations
20.
Layman, Lucas, Laurie Williams, & Lynn Cunningham. (2004). Motivations and measurements in an agile case study. 14–24. 17 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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