Tim Grance

963 total citations
10 papers, 271 citations indexed

About

Tim Grance is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Tim Grance has authored 10 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Information Systems and 2 papers in Artificial Intelligence. Recurrent topics in Tim Grance's work include Network Security and Intrusion Detection (3 papers), Information and Cyber Security (3 papers) and Digital and Cyber Forensics (2 papers). Tim Grance is often cited by papers focused on Network Security and Intrusion Detection (3 papers), Information and Cyber Security (3 papers) and Digital and Cyber Forensics (2 papers). Tim Grance collaborates with scholars based in United States and Switzerland. Tim Grance's co-authors include J. Voas, Joe Falco, Karen Kent, Keith Stouffer, Joan Hash, D. Kühn, Vincent C. Hu, David Ferraiolo, Karen Scarfone and Marianne Swanson and has published in prestigious journals such as Purdue e-Pubs (Purdue University System) and Defense Technical Information Center (DTIC).

In The Last Decade

Tim Grance

10 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Grance United States 7 164 124 67 66 37 10 271
Kevin Stine United States 7 242 1.5× 118 1.0× 58 0.9× 44 0.7× 56 1.5× 17 326
Juan Manuel González Nieto Australia 10 145 0.9× 192 1.5× 36 0.5× 167 2.5× 34 0.9× 33 360
Maria B. Line Norway 9 210 1.3× 121 1.0× 97 1.4× 35 0.5× 41 1.1× 18 299
Elena Doynikova Russia 11 227 1.4× 214 1.7× 67 1.0× 68 1.0× 65 1.8× 51 341
Philipp Reinecke United Kingdom 10 107 0.7× 142 1.1× 24 0.4× 56 0.8× 42 1.1× 32 252
Sara Bouchenak France 12 227 1.4× 263 2.1× 21 0.3× 142 2.2× 17 0.5× 52 415
Mohammad M. R. Chowdhury Norway 8 125 0.8× 186 1.5× 18 0.3× 73 1.1× 33 0.9× 23 289
Enes Erdin United States 7 265 1.6× 123 1.0× 21 0.3× 73 1.1× 33 0.9× 11 317
J. Bach United States 8 231 1.4× 84 0.7× 21 0.3× 38 0.6× 19 0.5× 15 351
Manfred Vielberth Germany 7 133 0.8× 106 0.9× 32 0.5× 36 0.5× 55 1.5× 14 233

Countries citing papers authored by Tim Grance

Since Specialization
Citations

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

Fields of papers citing papers by Tim Grance

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Grance

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

All Works

10 of 10 papers shown
1.
Hu, Vincent C., Tim Grance, David Ferraiolo, & D. Kühn. (2014). An Access Control Scheme for Big Data Processing. 26 indexed citations
2.
Grance, Tim, et al.. (2012). Security Guide for Interconnecting Information Technology Systems: Recommendations of the National Institute of Standards and Technology: NIST Special Publication 800-47. 6 indexed citations
3.
Bhatti, Rafae, et al.. (2012). Emerging trends around big data analytics and security. Purdue e-Pubs (Purdue University System). 67–68. 10 indexed citations
4.
Grance, Tim, et al.. (2012). Cloud Computing Synopsis and Recommendations: Recommendations of the National Institute of Standards and Technology. 107 indexed citations
5.
Scarfone, Karen & Tim Grance. (2008). A framework for measuring the vulnerability of hosts. 1–4. 3 indexed citations
6.
Stouffer, Keith, et al.. (2006). Guide to Supervisory Control and Data Acquisition (SCADA) and Other Industrial Control System Security. 80 indexed citations
7.
Grance, Tim, et al.. (2005). Guide to Computer and Network Data Analysis: Applying Forensic Techniques to Incident Response. 8 indexed citations
8.
Grance, Tim, Joan Hash, & Marc Stevens. (2004). Security Considerations In The Information System Development Life Cycle: Recommendations Of The National Institute Of Standards And Technology. 5 indexed citations
9.
Grance, Tim, et al.. (2002). Security Guide for Interconnecting Information Technology Systems: Recommendations of the National Institute of Standards and Technology. Defense Technical Information Center (DTIC). 1 indexed citations
10.
Swanson, Marianne, et al.. (2002). Contingency Planning Guide for Information Technology Systems: Recommendations of the National Institute of Standards and Technology. Defense Technical Information Center (DTIC). 25 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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