Michael J. Decker

481 total citations
22 papers, 325 citations indexed

About

Michael J. Decker is a scholar working on Information Systems, Software and Signal Processing. According to data from OpenAlex, Michael J. Decker has authored 22 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 11 papers in Software and 9 papers in Signal Processing. Recurrent topics in Michael J. Decker's work include Software Engineering Research (18 papers), Advanced Malware Detection Techniques (9 papers) and Software Reliability and Analysis Research (7 papers). Michael J. Decker is often cited by papers focused on Software Engineering Research (18 papers), Advanced Malware Detection Techniques (9 papers) and Software Reliability and Analysis Research (7 papers). Michael J. Decker collaborates with scholars based in United States and Saudi Arabia. Michael J. Decker's co-authors include Michael L. Collard, Jonathan I. Maletic, Christian D. Newman, Anthony Peruma, Mohamed Wiem Mkaouer, Emily Hill and Nicholas A. Kraft and has published in prestigious journals such as IEEE Transactions on Software Engineering, Journal of Systems and Software and Journal of Software Evolution and Process.

In The Last Decade

Michael J. Decker

20 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael J. Decker United States	9	296	181	102	86	73	22	325
Mihai Codoban United States	5	270 0.9×	117 0.6×	68 0.7×	50 0.6×	94 1.3×	8	295
Daniela Steidl Germany	8	280 0.9×	189 1.0×	77 0.8×	53 0.6×	69 0.9×	12	306
Kisub Kim Singapore	10	284 1.0×	166 0.9×	118 1.2×	69 0.8×	68 0.9×	28	353
Stéphane Vaucher Canada	7	451 1.5×	343 1.9×	90 0.9×	136 1.6×	123 1.7×	10	478
Wael Kessentini Canada	6	208 0.7×	178 1.0×	81 0.8×	38 0.4×	37 0.5×	10	242
Chu-Pan Wong United States	8	284 1.0×	238 1.3×	95 0.9×	64 0.7×	83 1.1×	10	327
Dhavleesh Rattan India	6	339 1.1×	213 1.2×	92 0.9×	188 2.2×	110 1.5×	14	410
Ric Holt Canada	7	259 0.9×	120 0.7×	116 1.1×	24 0.3×	123 1.7×	16	294
Frank Steinbrückner Germany	4	257 0.9×	143 0.8×	92 0.9×	31 0.4×	66 0.9×	6	285
Quinten David Soetens Belgium	8	285 1.0×	215 1.2×	51 0.5×	57 0.7×	101 1.4×	12	304

Countries citing papers authored by Michael J. Decker

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Decker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Decker. 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 Michael J. Decker. The network helps show where Michael J. Decker may publish in the future.

Co-authorship network of co-authors of Michael J. Decker

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Decker. A scholar is included among the top collaborators of Michael J. Decker 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 Michael J. Decker. Michael J. Decker 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

Newman, Christian D., et al.. (2022). An approach to automatically assess method names. 202–213. 4 indexed citations

Newman, Christian D., et al.. (2021). An Ensemble Approach for Annotating Source Code Identifiers With Part-of-Speech Tags. IEEE Transactions on Software Engineering. 48(9). 3506–3522. 10 indexed citations

Newman, Christian D., et al.. (2021). A Survey on Method Naming Standards: Questions and Responses Artifact. 3 indexed citations

Newman, Christian D., et al.. (2020). On the Generation, Structure, and Semantics of Grammar Patterns in Source Code Identifiers. RIT Scholar Works (Rochester Institute of Technology). 17 indexed citations

Peruma, Anthony, Mohamed Wiem Mkaouer, Michael J. Decker, & Christian D. Newman. (2020). Contextualizing rename decisions using refactorings, commit messages, and data types. Journal of Systems and Software. 169. 110704–110704. 22 indexed citations

Decker, Michael J., et al.. (2019). srcDiff: A syntactic differencing approach to improve the understandability of deltas. Journal of Software Evolution and Process. 32(4). 9 indexed citations

Newman, Christian D., et al.. (2019). An Empirical Study of Abbreviations and Expansions in Software Artifacts. 269–279. 14 indexed citations

Newman, Christian D., et al.. (2019). An Open Dataset of Abbreviations and Expansions. 280–280. 4 indexed citations

Peruma, Anthony, Mohamed Wiem Mkaouer, Michael J. Decker, & Christian D. Newman. (2018). An empirical investigation of how and why developers rename identifiers. 26–33. 35 indexed citations

10.

Newman, Christian D., et al.. (2018). Automatically Generating Natural Language Documentation for Methods. 1–2. 3 indexed citations

11.

Decker, Michael J., et al.. (2018). Which Method-Stereotype Changes are Indicators of Code Smells?. RIT Scholar Works (Rochester Institute of Technology). 1 indexed citations

12.

Decker, Michael J., et al.. (2018). Leveraging the agile development process for selecting invoking/excluding tests to support feature location. 370–379. 1 indexed citations

13.

Decker, Michael J., et al.. (2018). [Research Paper] Which Method-Stereotype Changes are Indicators of Code Smells?. 197. 82–91. 1 indexed citations

14.

Decker, Michael J., et al.. (2018). A Timeline Summarization of Code Changes. 9–10. 1 indexed citations

15.

Decker, Michael J.. (2017). srcDiff: Syntactic Differencing to Support Software Maintenance and Evolution. OhioLink ETD Center (Ohio Library and Information Network). 6 indexed citations

16.

Decker, Michael J., et al.. (2016). A Tool for Efficiently Reverse Engineering Accurate UML Class Diagrams. 607–609. 4 indexed citations

17.

Collard, Michael L., Michael J. Decker, & Jonathan I. Maletic. (2013). srcML: An Infrastructure for the Exploration, Analysis, and Manipulation of Source Code: A Tool Demonstration. 516–519. 93 indexed citations

18.

Decker, Michael J.. (2012). Structural Analysis of Source-Code Changes in Large Software through SrcDiff and DiffPath. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations

19.

Decker, Michael J.. (2011). Modellierung ortsabhängiger Zugriffskontrolle für mobile Geschäftsprozesse. Repository KITopen (Karlsruhe Institute of Technology).

20.

Collard, Michael L., Michael J. Decker, & Jonathan I. Maletic. (2011). Lightweight Transformation and Fact Extraction with the srcML Toolkit. 173–184. 75 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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