Tony Savor

465 total citations
16 papers, 305 citations indexed

About

Tony Savor is a scholar working on Computer Networks and Communications, Software and Information Systems. According to data from OpenAlex, Tony Savor has authored 16 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 9 papers in Software and 6 papers in Information Systems. Recurrent topics in Tony Savor's work include Software Reliability and Analysis Research (8 papers), Software System Performance and Reliability (6 papers) and Software Engineering Research (6 papers). Tony Savor is often cited by papers focused on Software Reliability and Analysis Research (8 papers), Software System Performance and Reliability (6 papers) and Software Engineering Research (6 papers). Tony Savor collaborates with scholars based in Canada, United States and Israel. Tony Savor's co-authors include Michael Stumm, R.E. Seviora, Laurie Williams, Kent Beck, Dhruba Borthakur, Mark Callaghan, Siying Dong, Leonidas Galanis, Chris Parnin and Thomas Brendan Murphy and has published in prestigious journals such as Computer, IEEE Software and Conference on Innovative Data Systems Research.

In The Last Decade

Tony Savor

16 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tony Savor Canada	7	191	191	83	69	34	16	305
Paulo Henrique M. Maia Brazil	10	117 0.6×	163 0.9×	59 0.7×	76 1.1×	16 0.5×	48	248
R. E. Kurt Stirewalt United States	10	104 0.5×	221 1.2×	128 1.5×	182 2.6×	24 0.7×	42	306
Ivo Krka United States	11	188 1.0×	296 1.5×	148 1.8×	159 2.3×	9 0.3×	22	358
Padmanabhan Krishnan Australia	9	106 0.6×	140 0.7×	127 1.5×	92 1.3×	60 1.8×	68	311
M. de Jonge Netherlands	10	69 0.4×	160 0.8×	116 1.4×	163 2.4×	23 0.7×	26	265
Damien Watkins Australia	4	102 0.5×	198 1.0×	79 1.0×	223 3.2×	28 0.8×	11	318
Ira R. Forman United States	9	108 0.6×	177 0.9×	80 1.0×	180 2.6×	51 1.5×	27	308
Orna Raz Israel	9	86 0.5×	126 0.7×	122 1.5×	84 1.2×	9 0.3×	26	241
Jonathan Traupman United States	5	264 1.4×	126 0.7×	54 0.7×	133 1.9×	53 1.6×	6	356
Shinji Kikuchi Japan	8	172 0.9×	159 0.8×	51 0.6×	76 1.1×	15 0.4×	39	260

Countries citing papers authored by Tony Savor

Since Specialization

Citations

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

Fields of papers citing papers by Tony Savor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony Savor

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

All Works

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16 of 16 papers shown

1.

Lin, Jerry Chun‐Wei, et al.. (2021). Bladerunner. 11. 708–723. 1 indexed citations

2.

Dong, Siying, et al.. (2017). Optimizing Space Amplification in RocksDB.. Conference on Innovative Data Systems Research. 81 indexed citations

3.

Parnin, Chris, et al.. (2017). The Top 10 Adages in Continuous Deployment. IEEE Software. 34(3). 86–95. 53 indexed citations

4.

Savor, Tony, et al.. (2016). Continuous deployment at Facebook and OANDA. 21–30. 86 indexed citations

5.

Beck, Kent, et al.. (2016). Continuous deployment of mobile software at facebook (showcase). 12–23. 24 indexed citations

6.

Savor, Tony, et al.. (2014). Detecting DoS Attacks on Notification Services. 192–198. 3 indexed citations

7.

Savor, Tony. (2008). Testing Feature-Rich Reactive Systems. IEEE Software. 25(4). 74–81. 1 indexed citations

8.

Savor, Tony & R.E. Seviora. (2002). Automatic detection of software failures: issues and experience. 5 vi. 245–252. 1 indexed citations

9.

Savor, Tony & R.E. Seviora. (2002). An approach to automatic detection of software failures in real-time systems. 136–146. 18 indexed citations

10.

Savor, Tony, et al.. (2002). An approach to automatic detection of software failures. 314–323. 18 indexed citations

11.

Savor, Tony & R.E. Seviora. (2002). Improving the efficiency of supervision by software through state aggregation. 92. 202–211. 2 indexed citations

12.

Savor, Tony & R.E. Seviora. (2002). An architectural overview of a software supervisor. 52–56. 1 indexed citations

13.

Savor, Tony & R.E. Seviora. (2002). Supervisors for testing non-deterministically specified systems. 948–953. 2 indexed citations

14.

Savor, Tony & R.E. Seviora. (2002). Hierarchical supervisors for automatic detection of software failures. 48–59. 1 indexed citations

15.

Savor, Tony & R.E. Seviora. (1998). Toward automatic detection of software failures. Computer. 31(8). 68–74. 12 indexed citations

16.

Savor, Tony, et al.. (1993). A Real-Time Extension to Logic Programming Based on the Concurrent Constraint Logic Programming Paradigm.. 269–277. 1 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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