Dane Brown

434 citations
17 papers · 260 · h-index 7

Impact in

Papers in

Dane Brown

16 papers receiving 251 citations

Peers

Dane Brown
Comparison fields: 5 of 39
  • Transportation 86
  • Computer Networks and Communications 133
  • Signal Processing 43
  • Computer Science Applications 17
  • Hardware and Architecture 19
Replace Erik C. Rye with:
Erik C. Rye United States
Jeremy Martin United States
Xiaocan Li China
Travis Mayberry United States
Farman Ali Mangi China
Ibrahim Sabek United States
Triet D. Vo-Huu United States
Wei Chang United States
Chengzong Peng China
Libo Song United States
Dane Brown relative to Erik C. Rye United States Erik C. Rye's profile →
Citations per field
00.5×1.7×
Erik C. Rye · 1×
Citations per year

Countries citing papers authored by Dane Brown

Since Specialization
Citations

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

Fields of papers citing papers by Dane Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Dane Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dane Brown Line = papers co-authored together Dane Brown links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2017149
2 202135
3 198511
4 201811
5 20179
6 20207
7 20217
8 20186
9 20185
10 20175
11 20223
12 20193
13 20203
14 20203
15 20232
16 19921
17 20230

About Dane Brown

Dane Brown is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering and Information Systems, having authored 17 papers that have together received 260 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Advanced Data Storage Technologies (6 papers), Security and Verification in Computing (6 papers), Digital and Cyber Forensics (3 papers), Semiconductor materials and devices (3 papers), Advanced Memory and Neural Computing (3 papers), Parallel Computing and Optimization Techniques (2 papers) and Cryptographic Implementations and Security (2 papers). The work is most often cited by research in Transportation (86 citations), Computer Networks and Communications (133 citations), Signal Processing (43 citations), Computer Science Applications (17 citations) and Hardware and Architecture (19 citations). Dane Brown has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Travis Mayberry, Erik C. Rye, Jeremy Martin, Peter Y. A. Ryan, R.M. Goodall, Ryan Rakvic, Justin A. Blanco, Robert W. Ives, Ryan Gerdes and Christopher Wilkinson. Their work appears in journals such as Sustainable Computing Informatics and Systems, Computers & Security, IEEE Access, SHILAP Revista de lepidopterología and DigitalCommons - Kennesaw State University (Kennesaw State University).

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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