Bill Curtis

9.1k total citations · 3 hit papers
68 papers, 4.7k citations indexed

About

Bill Curtis is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Bill Curtis has authored 68 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Information Systems, 11 papers in Artificial Intelligence and 10 papers in Software. Recurrent topics in Bill Curtis's work include Software Engineering Research (30 papers), Software Engineering Techniques and Practices (28 papers) and Advanced Software Engineering Methodologies (10 papers). Bill Curtis is often cited by papers focused on Software Engineering Research (30 papers), Software Engineering Techniques and Practices (28 papers) and Advanced Software Engineering Methodologies (10 papers). Bill Curtis collaborates with scholars based in United States, Spain and Canada. Bill Curtis's co-authors include Herb Krasner, Neil Iscoe, Marc I. Kellner, Diane B. Walz, Joyce J. Elam, Ronald E. Smith, Frank L. Smoll, Sylvia B. Sheppard, William E. Hefley and Sally A. Miller and has published in prestigious journals such as Journal of Applied Psychology, Communications of the ACM and Computer.

In The Last Decade

Bill Curtis

63 papers receiving 4.0k citations

Hit Papers

A field study of the software design process for large sy... 1988 2026 2000 2013 1988 1992 2011 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bill Curtis United States 23 2.7k 1.3k 742 709 581 68 4.7k
Mark Turner United Kingdom 11 1.8k 0.7× 488 0.4× 807 1.1× 372 0.5× 63 0.1× 22 4.0k
Steve Easterbrook Canada 36 2.3k 0.8× 443 0.3× 1.9k 2.5× 344 0.5× 63 0.1× 151 3.9k
Shlomo Angel United States 22 468 0.2× 160 0.1× 418 0.6× 145 0.2× 124 0.2× 68 5.1k
Ali Selamat Malaysia 36 1.8k 0.7× 166 0.1× 2.1k 2.9× 197 0.3× 80 0.1× 338 5.9k
Max Jacobson 4 464 0.2× 158 0.1× 402 0.5× 145 0.2× 110 0.2× 6 2.5k
Gerald M. Weinberg United States 18 752 0.3× 214 0.2× 365 0.5× 184 0.3× 63 0.1× 53 1.7k
James F. Courtney United States 25 559 0.2× 876 0.7× 635 0.9× 96 0.1× 230 0.4× 88 3.0k
Ángel García-Crespo Spain 26 950 0.4× 213 0.2× 610 0.8× 121 0.2× 68 0.1× 127 2.3k
Fernando Bação Portugal 27 441 0.2× 111 0.1× 1.6k 2.1× 301 0.4× 97 0.2× 84 4.5k
Brian Henderson‐Sellers Australia 35 2.9k 1.1× 971 0.8× 1.7k 2.3× 170 0.2× 19 0.0× 247 4.7k

Countries citing papers authored by Bill Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Bill Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bill Curtis

This figure shows the co-authorship network connecting the top 25 collaborators of Bill Curtis. A scholar is included among the top collaborators of Bill Curtis 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 Bill Curtis. Bill Curtis 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.
Curtis, Bill, et al.. (2018). Using Analytics to Guide Improvement During an Agile/DevOps Transformation. IEEE Software. 1–1. 5 indexed citations
2.
Franch, Xavier, et al.. (2013). 1<sup>st</sup> International workshop on conducting empirical studies in industry (CESI 2013). 2013 35th International Conference on Software Engineering (ICSE). 1509–1510.
3.
Curtis, Bill, William E. Hefley, & Sally A. Miller. (2002). The People Capability Maturity Model : guidelines for improving the workforce. Addison-Wesley eBooks. 72 indexed citations
4.
Curtis, Bill & Terry Bollinger. (2000). Point/Counterpoint - Building Accelerated Organizations / Building Tech-Savvy Organizations.. IEEE Software. 17. 72–75. 1 indexed citations
5.
Curtis, Bill. (1998). Which Comes First, the Organization or Its Processes?. IEEE Software. 15(6). 10–13. 7 indexed citations
6.
Curtis, Bill. (1995). Objects of Our Desire: Empirical Research on Object-Oriented Development. Human-Computer Interaction. 10(2). 337–344. 7 indexed citations
7.
Curtis, Bill, et al.. (1993). Third-time charm: stronger prediction of programmer performance by software complexity metrics. McGraw-Hill, Inc. eBooks. 159–167. 1 indexed citations
8.
Curtis, Bill. (1991). Techies as non-technological factors in software engineering?. International Conference on Software Engineering. 147–148. 3 indexed citations
9.
Curtis, Bill. (1990). Tutorial, Human Factors in Software Development. IEEE Computer Society Press eBooks. 22 indexed citations
10.
Krasner, Herb, Bill Curtis, & Neil Iscoe. (1987). Communication breakdowns and boundary spanning activities on large programming projects. Ablex Publishing Corp. eBooks. 47–64. 54 indexed citations
11.
Guindon, Raymonde, Herb Krasner, & Bill Curtis. (1987). Breakdowns and processes during the early activities of software design by professionals. Ablex Publishing Corp. eBooks. 65–82. 97 indexed citations
12.
Elam, Joyce J., Diane B. Walz, Herb Krasner, & Bill Curtis. (1987). A methodology for studying software design teams: an investigation of conflict behaviors in the requirements definition phase. Ablex Publishing Corp. eBooks. 29(10). 83–99. 35 indexed citations
13.
Curtis, Bill. (1986). Models of iteration in software development.. 53–56. 5 indexed citations
14.
Curtis, Bill. (1984). Fifteen years of psychology in software engineering: Individual differences and cognitive science. International Conference on Software Engineering. 97–106. 46 indexed citations
15.
Curtis, Bill. (1982). A review of human factors research on programming languages and specifications. 212–218. 17 indexed citations
16.
Sheppard, Sylvia B., et al.. (1981). The effects of symbology and spatial arrangement on the comprehension of software specifications. International Conference on Software Engineering. 207–214. 30 indexed citations
17.
Curtis, Bill, Sylvia B. Sheppard, & Phil Milliman. (1979). Third Time Charm: Stronger Replication of the Ability of Software Complexity Metrics to Predict Programmer Performance.. International Conference on Software Engineering. 356–360. 9 indexed citations
18.
Curtis, Bill, Sylvia B. Sheppard, & Phil Milliman. (1979). Third time charm: Stronger prediction of programmer performance by software complexity metrics. International Conference on Software Engineering. 356–360. 82 indexed citations
19.
Curtis, Bill, Ronald E. Smith, & Frank L. Smoll. (1979). Scrutinizing the Skipper: A study of leadership behaviors in the dugout.. Journal of Applied Psychology. 64(4). 391–400. 42 indexed citations
20.
Smoll, Frank L., Ronald E. Smith, Bill Curtis, & Earl Hunt. (1978). Toward a Mediational Model of Coach-Player Relationships. Research Quarterly American Alliance for Health Physical Education and Recreation. 49(4). 528–541. 52 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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