Daniel T. Wagner

573 total citations
10 papers, 311 citations indexed

About

Daniel T. Wagner is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel T. Wagner has authored 10 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Electrical and Electronic Engineering and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel T. Wagner's work include Opportunistic and Delay-Tolerant Networks (6 papers), Green IT and Sustainability (6 papers) and Wireless Networks and Protocols (2 papers). Daniel T. Wagner is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (6 papers), Green IT and Sustainability (6 papers) and Wireless Networks and Protocols (2 papers). Daniel T. Wagner collaborates with scholars based in United Kingdom, United States and Switzerland. Daniel T. Wagner's co-authors include Andrew Rice, Abhinav Pathak, Alastair R. Beresford, Y. Charlie Hu, Ning Ding, Xiaomeng Chen, Ramsey Faragher, Luciano M. Prevedello, Engin Dikici and Xuan V. Nguyen and has published in prestigious journals such as ACM SIGMETRICS Performance Evaluation Review, Diagnostics and Apollo (University of Cambridge).

In The Last Decade

Daniel T. Wagner

10 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel T. Wagner United Kingdom	6	202	182	46	42	40	10	311
Anthony J. Nicholson United States	4	302 1.5×	442 2.4×	56 1.2×	44 1.0×	53 1.3×	6	501
Utku Günay Acer United States	10	76 0.4×	181 1.0×	26 0.6×	21 0.5×	26 0.7×	33	297
Mark Corner United States	7	126 0.6×	225 1.2×	46 1.0×	17 0.4×	53 1.3×	19	381
Aldo Campi Italy	9	125 0.6×	196 1.1×	43 0.9×	53 1.3×	30 0.8×	31	305
Wonwoo Jung South Korea	7	315 1.6×	241 1.3×	11 0.2×	41 1.0×	56 1.4×	12	360
Li‐Ping Tung Taiwan	11	174 0.9×	269 1.5×	27 0.6×	26 0.6×	19 0.5×	38	358
Elmurod Talipov South Korea	11	199 1.0×	257 1.4×	187 4.1×	17 0.4×	76 1.9×	17	427
Thomas Silverston Japan	9	56 0.3×	162 0.9×	22 0.5×	26 0.6×	25 0.6×	21	263
Long Vu United States	13	96 0.5×	372 2.0×	129 2.8×	42 1.0×	90 2.3×	27	485
Ozgur Yurur United States	8	86 0.4×	117 0.6×	52 1.1×	21 0.5×	179 4.5×	10	286

Countries citing papers authored by Daniel T. Wagner

Since Specialization

Citations

This map shows the geographic impact of Daniel T. Wagner'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 T. Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Wagner more than expected).

Fields of papers citing papers by Daniel T. Wagner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel T. Wagner

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

All Works

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10 of 10 papers shown

1.

Wagner, Daniel T., Kevin A. Peng, Sean G. Ryan, et al.. (2023). Artificial Intelligence in Neuroradiology: A Review of Current Topics and Competition Challenges. Diagnostics. 13(16). 2670–2670. 11 indexed citations

2.

Wagner, Daniel T., Daniel Thomas, Alastair R. Beresford, & Andrew Rice. (2015). Device analyzer. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1–2. 5 indexed citations

3.

Faragher, Ramsey, et al.. (2015). Captain Buzz. Apollo (University of Cambridge). 27–32. 3 indexed citations

4.

Wagner, Daniel T., Andrew Rice, & Alastair R. Beresford. (2014). Device Analyzer: Understanding Smartphone Usage. 9 indexed citations

5.

Wagner, Daniel T., Andrew Rice, & Alastair R. Beresford. (2014). Device analyzer. ACM SIGMETRICS Performance Evaluation Review. 41(4). 53–56. 68 indexed citations

6.

Bjelland, Johannes, et al.. (2014). A Handset-centric View of Smartphone Application Use. Procedia Computer Science. 34. 368–375. 1 indexed citations

7.

Wagner, Daniel T., Andrew Rice, & Alastair R. Beresford. (2013). Device Analyzer: Large-scale mobile data collection. 17 indexed citations

8.

Ding, Ning, et al.. (2013). Characterizing and modeling the impact of wireless signal strength on smartphone battery drain. 29–40. 135 indexed citations

9.

Ding, Ning, Daniel T. Wagner, Xiaomeng Chen, et al.. (2013). Characterizing and modeling the impact of wireless signal strength on smartphone battery drain. ACM SIGMETRICS Performance Evaluation Review. 41(1). 29–40. 61 indexed citations

10.

Wagner, Daniel T., et al.. (1999). [Cardiovascular diseases and sports].. PubMed. 88(14). 601–8. 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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