Daniel W. Brown

830 total citations
11 papers, 339 citations indexed

About

Daniel W. Brown is a scholar working on Computer Networks and Communications, Information Systems and Surgery. According to data from OpenAlex, Daniel W. Brown has authored 11 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 2 papers in Information Systems and 1 paper in Surgery. Recurrent topics in Daniel W. Brown's work include Opportunistic and Delay-Tolerant Networks (4 papers), Caching and Content Delivery (3 papers) and Mobile Ad Hoc Networks (2 papers). Daniel W. Brown is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (4 papers), Caching and Content Delivery (3 papers) and Mobile Ad Hoc Networks (2 papers). Daniel W. Brown collaborates with scholars based in United States, United Kingdom and Canada. Daniel W. Brown's co-authors include Kenneth G. Paterson, Fréderik Vercauteren, Elisabeth Oswald, Nigel P. Smart, Alexander W. Dent, Steven D. Galbraith⋆, Pierrick Gaudry, Ian F. Blake, Marc Jóye and Rajesh Krishnan and has published in prestigious journals such as Orthopedic Clinics of North America, Electronic Notes in Theoretical Computer Science and The Physics Teacher.

In The Last Decade

Daniel W. Brown

11 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel W. Brown United States	6	201	164	127	39	24	11	339
Zhi Hu China	8	200 1.0×	168 1.0×	81 0.6×	62 1.6×	14 0.6×	21	283
Cheol‐Min Park South Korea	7	183 0.9×	110 0.7×	139 1.1×	28 0.7×	17 0.7×	26	283
Young-Ho Park South Korea	8	143 0.7×	119 0.7×	98 0.8×	22 0.6×	14 0.6×	45	224
Patrick Longa United States	11	245 1.2×	214 1.3×	35 0.3×	74 1.9×	27 1.1×	24	327
Chang‐An Zhao China	8	167 0.8×	86 0.5×	27 0.2×	13 0.3×	33 1.4×	40	196
Yiyuan Luo China	9	182 0.9×	40 0.2×	50 0.4×	83 2.1×	25 1.0×	33	231
Emmanuel Bresson United States	10	419 2.1×	225 1.4×	532 4.2×	45 1.2×	13 0.5×	19	605
Yannick Seurin France	7	192 1.0×	123 0.8×	69 0.5×	56 1.4×	18 0.8×	12	254
Changhee Hahn South Korea	11	249 1.2×	177 1.1×	90 0.7×	26 0.7×	11 0.5×	37	323
Nicolas Loriant France	5	102 0.5×	71 0.4×	106 0.8×	46 1.2×	15 0.6×	15	182

Countries citing papers authored by Daniel W. Brown

Since Specialization

Citations

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

Fields of papers citing papers by Daniel W. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel W. Brown

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

All Works

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11 of 11 papers shown

1.

Treleaven, Philip, et al.. (2023). The Future of Cybercrime: AI and Emerging Technologies Are Creating a Cybercrime Tsunami. SSRN Electronic Journal. 7 indexed citations

2.

Brown, Daniel W., et al.. (2019). Pediatric Septic Arthritis. Orthopedic Clinics of North America. 50(4). 461–470. 15 indexed citations

3.

Brown, Daniel W., et al.. (2015). DTN IP Neighbor Discovery (IPND). 13 indexed citations

4.

Brown, Daniel W.. (2013). The Orion Constellation as an Installation: An Innovative Three-Dimensional Teaching and Learning Environment. The Physics Teacher. 51(3). 160–162. 3 indexed citations

5.

Brown, Daniel W., et al.. (2010). Peak into the Past - An Archaeo-Astronomy Summer School. CLOK (University of Central Lancashire). 93(342). 83–90. 3 indexed citations

6.

Brown, Daniel W., Rajesh Krishnan, Stephen Polit, & Prithwish Basu. (2009). Intentional Naming in DTN. 2 indexed citations

7.

Basu, Prithwish, Rajesh Krishnan, & Daniel W. Brown. (2008). Persistent delivery with deferred binding to descriptively named destinations. 9594 1. 1–8. 5 indexed citations

8.

Krishnan, Rajesh, Prithwish Basu, Christopher Small, et al.. (2007). The SPINDLE Disruption-Tolerant Networking System. 1–7. 51 indexed citations

9.

Antoy, Sergio, Daniel W. Brown, & Su-Hui Chiang. (2007). Lazy Context Cloning for Non-Deterministic Graph Rewriting. Electronic Notes in Theoretical Computer Science. 176(1). 3–23. 6 indexed citations

10.

Brown, Daniel W.. (2006). Additional ECC Groups For IKE and IKEv2. 1 indexed citations

11.

Blake, Ian F., Nigel P. Smart, Daniel W. Brown, et al.. (2005). Advances in Elliptic Curve Cryptography. Cambridge University Press eBooks. 233 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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