Kevin Driscoll

1.8k total citations · 1 hit paper
52 papers, 1.0k citations indexed

About

Kevin Driscoll is a scholar working on Computer Networks and Communications, Hardware and Architecture and Sociology and Political Science. According to data from OpenAlex, Kevin Driscoll has authored 52 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 14 papers in Hardware and Architecture and 12 papers in Sociology and Political Science. Recurrent topics in Kevin Driscoll's work include Real-Time Systems Scheduling (11 papers), Distributed systems and fault tolerance (11 papers) and Social Media and Politics (9 papers). Kevin Driscoll is often cited by papers focused on Real-Time Systems Scheduling (11 papers), Distributed systems and fault tolerance (11 papers) and Social Media and Politics (9 papers). Kevin Driscoll collaborates with scholars based in United States, China and France. Kevin Driscoll's co-authors include François Bar, Jieun Shin, Lian Jian, Shawn Walker, Michael Paulitsch, Kjerstin Thorson, Brendan Hall, Emily K. Vraga, Chris Wells and Brian Ekdale and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Computer.

In The Last Decade

Kevin Driscoll

47 papers receiving 937 citations

Hit Papers

The diffusion of misinformation on social media: Temporal... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Driscoll United States 16 519 372 191 174 138 52 1.0k
Panagiotis Metaxas United States 18 597 1.2× 389 1.0× 346 1.8× 113 0.6× 25 0.2× 58 1.3k
Marc Davis United States 22 421 0.8× 151 0.4× 488 2.6× 158 0.9× 22 0.2× 48 1.9k
Johan Ugander United States 12 340 0.7× 172 0.5× 343 1.8× 266 1.5× 25 0.2× 39 1.4k
Ceren Budak United States 18 704 1.4× 445 1.2× 418 2.2× 158 0.9× 26 0.2× 64 1.6k
Robert Cailliau Switzerland 7 213 0.4× 76 0.2× 292 1.5× 387 2.2× 42 0.3× 17 1.2k
Joseph G. Davis Australia 17 116 0.2× 101 0.3× 229 1.2× 183 1.1× 16 0.1× 76 959
Massimiliano Marcon Germany 6 404 0.8× 222 0.6× 556 2.9× 781 4.5× 22 0.2× 8 2.0k
Paraskevi Fragopoulou Greece 13 151 0.3× 34 0.1× 289 1.5× 364 2.1× 42 0.3× 65 886
Tim Weninger United States 20 289 0.6× 113 0.3× 951 5.0× 260 1.5× 31 0.2× 69 1.6k
Krishna P. N. Puttaswamy United States 14 254 0.5× 85 0.2× 415 2.2× 598 3.4× 15 0.1× 25 1.2k

Countries citing papers authored by Kevin Driscoll

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Driscoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Driscoll

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Driscoll. A scholar is included among the top collaborators of Kevin Driscoll 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 Kevin Driscoll. Kevin Driscoll 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.
Gupta, Gopal, et al.. (2021). Formalizing Informal Logic and Natural Language Deductivism.. International Conference on Lightning Protection. 1 indexed citations
2.
Shin, Jieun, Lian Jian, Kevin Driscoll, & François Bar. (2018). The Diffusion of Misinformation on Social Media: Temporal Pattern, Message, and Source. SSRN Electronic Journal. 2 indexed citations
3.
McKelvey, Fenwick & Kevin Driscoll. (2018). ARPANET and its boundary devices: modems, IMPs, and the inter-structuralism of infrastructures. 3(1). 31–50. 6 indexed citations
4.
Koopman, Philip, Kevin Driscoll, & Brendan Hall. (2018). Selection of Cyclic Redundancy Code and Checksum Algorithms to Ensure Critical Data Integrity. Figshare. 7 indexed citations
5.
Driscoll, Kevin, et al.. (2018). Beyond Big Bird, Binders, and Bayonets: Humor and Visibility Among Connected Viewers of the 2012 US Presidential Debates. Social Media + Society. 4(1). 9 indexed citations
6.
Driscoll, Kevin. (2018). Lightweight crypto for lightweight unmanned arial systems. 1–15. 2 indexed citations
7.
Driscoll, Kevin, et al.. (2018). Data Network Evaluation Criteria Handbook. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 3 indexed citations
8.
Shin, Jieun, Lian Jian, Kevin Driscoll, & François Bar. (2016). Political Rumoring on Twitter during the 2012 US Presidential Election: Rumor Diffusion and Correction. SSRN Electronic Journal. 1 indexed citations
9.
Driscoll, Kevin. (2016). The Leisure Commons: A Spatial History of Web 2.0 by Payal Arora. IEEE Annals of the History of Computing. 38(2). 83–84.
10.
Driscoll, Kevin. (2015). Professional Work for Nothing: Software Commercialization and “An Open Letter to Hobbyists”. Information & Culture. 50(2). 257–283. 3 indexed citations
11.
Driscoll, Kevin & Shawn Walker. (2014). Big Data, Big Questions| Working Within a Black Box: Transparency in the Collection and Production of Big Twitter Data. International journal of communication. 8. 20. 65 indexed citations
12.
Driscoll, Kevin & Shawn Walker. (2014). Working within a black box: Transparency in the collection and production of big twitter data. International journal of communication. 8(1). 1745–1764. 79 indexed citations
13.
Hall, Brendan & Kevin Driscoll. (2014). Distributed System Design Checklist. NASA Technical Reports Server (NASA). 26. 403–19. 2 indexed citations
14.
Driscoll, Kevin, Mike Ananny, François Bar, et al.. (2013). Big Bird, Binders, and Bayonets: Humor and live-tweeting during the 2012 U.S. Presidential Debates. AoIR Selected Papers of Internet Research. 3. 4 indexed citations
15.
Vraga, Emily K., Leticia Bode, Chris Wells, Kevin Driscoll, & Kjerstin Thorson. (2013). The Rules of Engagement: Comparing Two Social Protest Movements on YouTube. Cyberpsychology Behavior and Social Networking. 17(3). 133–140. 17 indexed citations
16.
Driscoll, Kevin, et al.. (2013). Application Agreement and Integration Services. NASA Technical Reports Server (NASA). 4 indexed citations
17.
Hall, Brendan, et al.. (2013). Investigating Actuation Force Fight with Asynchronous and Synchronous Redundancy Management Techniques. NASA Technical Reports Server (NASA). 1 indexed citations
18.
Driscoll, Kevin, et al.. (2012). Verification and validation of distributed flight critical systems. 2012 IEEE/AIAA 31st Digital Avionics Systems Conference (DASC). 3253. 9D3–1. 1 indexed citations
19.
Hall, Brendan, Michael Paulitsch, & Kevin Driscoll. (2007). FlexRay BRAIN Fusion A FlexRay-Based Braided Ring Availability Integrity Network. SAE technical papers on CD-ROM/SAE technical paper series. 1. 7 indexed citations
20.
Chandramani, P., Ping Gui, Fouad Kiamilev, et al.. (2002). Gigabit switch using free-space and parallel optical data links for a PCI-based workstation cluster. 2. 494–495. 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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