James E. Tomayko

2.1k total citations · 1 hit paper
42 papers, 1.1k citations indexed

About

James E. Tomayko is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, James E. Tomayko has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Information Systems, 8 papers in Computer Science Applications and 7 papers in Artificial Intelligence. Recurrent topics in James E. Tomayko's work include Software Engineering Techniques and Practices (20 papers), Software Engineering Research (13 papers) and Advanced Software Engineering Methodologies (6 papers). James E. Tomayko is often cited by papers focused on Software Engineering Techniques and Practices (20 papers), Software Engineering Research (13 papers) and Advanced Software Engineering Methodologies (6 papers). James E. Tomayko collaborates with scholars based in United States, Israel and United Kingdom. James E. Tomayko's co-authors include Laurie Williams, Robert L. Nord, Orit Hazzan, Sandra A. Slaughter, David P. Darcy, Chris F. Kemerer, Joseph Needham, C. A. Ronan, David P. Gluch and David Garlan and has published in prestigious journals such as IEEE Transactions on Software Engineering, Computer and IEEE Software.

In The Last Decade

James E. Tomayko

34 papers receiving 970 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Agile Software Development

2002 551 citations James E. Tomayko et al. Computer Science Education profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James E. Tomayko United States	15	782	248	195	192	143	42	1.1k
Robert Dupuis Canada	8	773 1.0×	199 0.8×	283 1.5×	217 1.1×	138 1.0×	23	1.0k
Mike Cohn United States	5	1.1k 1.4×	193 0.8×	278 1.4×	254 1.3×	201 1.4×	7	1.4k
Lucas Layman United States	18	1.0k 1.3×	426 1.7×	371 1.9×	149 0.8×	162 1.1×	61	1.3k
Yael Dubinsky Israel	14	602 0.8×	182 0.7×	116 0.6×	236 1.2×	128 0.9×	69	788
Óscar Dieste Spain	18	902 1.2×	165 0.7×	211 1.1×	370 1.9×	154 1.1×	80	1.2k
Sabrina Marczak Brazil	17	931 1.2×	319 1.3×	84 0.4×	216 1.1×	175 1.2×	119	1.3k
Aurora Vizcaíno Spain	19	1.0k 1.3×	400 1.6×	82 0.4×	330 1.7×	120 0.8×	114	1.3k
Jürgen Börstler Sweden	19	955 1.2×	484 2.0×	435 2.2×	329 1.7×	170 1.2×	113	1.4k
Nathan Baddoo United Kingdom	17	1.1k 1.4×	299 1.2×	287 1.5×	141 0.7×	132 0.9×	36	1.3k
Jeff Sutherland United States	17	743 1.0×	126 0.5×	96 0.5×	147 0.8×	157 1.1×	48	1.1k

Countries citing papers authored by James E. Tomayko

Since Specialization

Citations

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

Fields of papers citing papers by James E. Tomayko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Tomayko. 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 James E. Tomayko. The network helps show where James E. Tomayko may publish in the future.

Co-authorship network of co-authors of James E. Tomayko

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

All Works

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20 of 20 papers shown

1.

Herbsleb, James D., D. H. Root, & James E. Tomayko. (2018). The eXtreme programming (XP) metaphor and software architecture. Figshare.

2.

Tomayko, James E. & James D. Herbsleb. (2018). How useful is the metaphor component of agile methods? : a preliminary study. Figshare. 1 indexed citations

3.

Nord, Robert L. & James E. Tomayko. (2006). Software architecture-centric methods and agile development. IEEE Software. 23(2). 47–53. 62 indexed citations

4.

Tomayko, James E.. (2005). A historian's view of software engineering. 197. 103–110. 1 indexed citations

5.

Darcy, David P., Chris F. Kemerer, Sandra A. Slaughter, & James E. Tomayko. (2005). The structural complexity of software an experimental test. IEEE Transactions on Software Engineering. 31(11). 982–995. 99 indexed citations

6.

Tomayko, James E.. (2005). Teaching eXtreme Programming Remotely. 17–24. 2 indexed citations

7.

Tomayko, James E. & Orit Hazzan. (2004). Human Aspects of Software Engineering (Electrical and Computer Engineering Series). 83(3). 53–4. 19 indexed citations

8.

Kazman, Rick, Philippe Kruchten, Robert L. Nord, & James E. Tomayko. (2004). Integrating Software- Architecture-Centric Methods into the Rational Unified Process. Figshare. 11 indexed citations

9.

Budgen, David & James E. Tomayko. (2003). Norm Gibbs and his contribution to software engineering education through the SEI curriculum modules. Durham Research Online (Durham University). 3–13. 4 indexed citations

10.

Tomayko, James E.. (2003). Scientific management meets the personal software process. IEEE Software. 20(2). 12–14.

11.

Tomayko, James E.. (2002). A Comparison of Pair Programming to Inspections for Software Defect Reduction. Computer Science Education. 12(3). 213–222. 25 indexed citations

12.

Tomayko, James E.. (2000). Ida Rhodes and the dreams of a human computer. IEEE Annals of the History of Computing. 22(1). 82–85. 1 indexed citations

13.

Tomayko, James E.. (1998). Forging a discipline: An outline history of software engineering education. 6(1-4). 3–18. 26 indexed citations

14.

Tomayko, James E.. (1992). THE AIRPLANE AS COMPUTER PERIPHERAL: MORE THAN HALF THE COST OF A TYPICAL NEW JET GOES INTO ELECTRONICS AND SOFTWARE, AND THE PILOT NO LO. 7(2). 1 indexed citations

15.

Tomayko, James E.. (1991). Teaching software development in a studio environment. 300–303. 41 indexed citations

16.

Tomayko, James E.. (1991). Materials to Support Teaching a Project- Intensive Introduction to Software Engineering. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations

17.

Tomayko, James E.. (1989). Lessons learned teaching Ada in the context of software engineering. Journal of Systems and Software. 10(4). 281–283. 3 indexed citations

18.

Tomayko, James E.. (1985). Achieving reliability - The evolution of redundancy in American manned spacecraft computers. Journal of the British Interplanetary Society. 38(12). 545–552. 3 indexed citations

19.

Tomayko, James E.. (1985). Helmut Hoelzer's Fully Electronic Analog Computer. IEEE Annals of the History of Computing. 7(3). 227–240. 7 indexed citations

20.

Tomayko, James E.. (1976). The DeFrancis Series and PRC Texts in High School Use..

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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