Robert S. Swarz

1.4k total citations · 1 hit paper
13 papers, 950 citations indexed

About

Robert S. Swarz is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Computer Networks and Communications. According to data from OpenAlex, Robert S. Swarz has authored 13 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 4 papers in Statistics, Probability and Uncertainty and 2 papers in Computer Networks and Communications. Recurrent topics in Robert S. Swarz's work include Advanced Statistical Process Monitoring (3 papers), Systems Engineering Methodologies and Applications (2 papers) and Complex Systems and Decision Making (2 papers). Robert S. Swarz is often cited by papers focused on Advanced Statistical Process Monitoring (3 papers), Systems Engineering Methodologies and Applications (2 papers) and Complex Systems and Decision Making (2 papers). Robert S. Swarz collaborates with scholars based in United States and Israel. Robert S. Swarz's co-authors include Daniel P. Siewiorek, George Rebovich, Ron S. Kenett, Jeffrey A. Clark, Avigdor Zonnenshain, R. Horst and Ram Chillarege and has published in prestigious journals such as Medical Entomology and Zoology, INCOSE International Symposium and Insight.

In The Last Decade

Robert S. Swarz

10 papers receiving 878 citations

Hit Papers

The theory and practice o... 1982 2026 1996 2011 1982 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert S. Swarz United States 7 454 445 435 148 116 13 950
Vivek Nair United States 9 157 0.3× 310 0.7× 196 0.5× 187 1.3× 93 0.8× 42 626
Yann-Hang Lee United States 14 321 0.7× 367 0.8× 115 0.3× 65 0.4× 18 0.2× 54 616
Arshad Jhumka United Kingdom 17 114 0.3× 688 1.5× 201 0.5× 242 1.6× 51 0.4× 97 924
Riccardo Sisto Italy 19 281 0.6× 681 1.5× 202 0.5× 125 0.8× 13 0.1× 114 1.1k
S. Ramesh India 17 432 1.0× 221 0.5× 70 0.2× 430 2.9× 48 0.4× 119 1.1k
Nathan Fulton United States 4 86 0.2× 531 1.2× 79 0.2× 233 1.6× 49 0.4× 8 721
Olaf Spinczyk Germany 17 407 0.9× 513 1.2× 276 0.6× 198 1.3× 23 0.2× 109 1.1k
Jan Olaf Blech Australia 12 133 0.3× 211 0.5× 66 0.2× 76 0.5× 27 0.2× 79 595
Rossano Gaeta Italy 16 57 0.1× 555 1.2× 143 0.3× 75 0.5× 41 0.4× 71 818
Bruno Dutertre United States 15 191 0.4× 417 0.9× 84 0.2× 211 1.4× 30 0.3× 43 903

Countries citing papers authored by Robert S. Swarz

Since Specialization
Citations

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

Fields of papers citing papers by Robert S. Swarz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert S. Swarz. 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 Robert S. Swarz. The network helps show where Robert S. Swarz may publish in the future.

Co-authorship network of co-authors of Robert S. Swarz

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

All Works

13 of 13 papers shown
1.
Kenett, Ron S., Avigdor Zonnenshain, & Robert S. Swarz. (2020). Systems Engineering as a Data‐Driven and Evidence‐Based Discipline. INCOSE International Symposium. 30(1). 757–770. 1 indexed citations
2.
Kenett, Ron S., Avigdor Zonnenshain, & Robert S. Swarz. (2018). Systems Engineering, Data Analytics, and Systems Thinking: Moving Ahead to New and More Complex Challenges. Insight. 21(3). 19–26. 1 indexed citations
3.
Kenett, Ron S., Avigdor Zonnenshain, & Robert S. Swarz. (2018). Systems Engineering, Data Analytics, and Systems Thinking: Moving Ahead to New and More Complex Challenges. INCOSE International Symposium. 28(1). 1608–1625.
4.
Rebovich, George, et al.. (2014). Systems Engineering Guide: Collected Wisdom from MITREs Systems Engineering Experts. 12 indexed citations
5.
Swarz, Robert S., et al.. (2006). A Framework for Enterprise Systems Engineering Processes. 26 indexed citations
6.
Rebovich, George, et al.. (2006). 10.3.2 An Enterprise Systems Engineering Model. INCOSE International Symposium. 16(1). 1423–1434. 9 indexed citations
7.
Swarz, Robert S., et al.. (2005). A DESIGN FOR PROCESS STATE PRESERVATION ON STORAGE UNIT FAILURE. 256–256.
8.
Clark, Jeffrey A., et al.. (2002). An approach to designing accelerated life-testing experiments. 242–248. 2 indexed citations
9.
Siewiorek, Daniel P. & Robert S. Swarz. (1998). Reliable Computer Systems: Design and Evaluation, Third Edition. 114 indexed citations
10.
Siewiorek, Daniel P. & Robert S. Swarz. (1998). Reliable Computer Systems. 231 indexed citations
11.
Siewiorek, Daniel P. & Robert S. Swarz. (1992). Reliable computer systems (2nd ed.): design and evaluation. 908–908. 38 indexed citations
12.
Chillarege, Ram, R. Horst, Daniel P. Siewiorek, & Robert S. Swarz. (1991). Challenges in Designing Fault-Tolerant Systems.. 114. 1 indexed citations
13.
Siewiorek, Daniel P. & Robert S. Swarz. (1982). The theory and practice of reliable system design. Medical Entomology and Zoology. 515 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026