Roy Wedge

599 total citations · 1 hit paper
2 papers, 292 citations indexed

About

Roy Wedge is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Roy Wedge has authored 2 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Information Systems and 1 paper in Signal Processing. Recurrent topics in Roy Wedge's work include Time Series Analysis and Forecasting (1 paper), Machine Learning and Data Classification (1 paper) and Mobile Crowdsensing and Crowdsourcing (1 paper). Roy Wedge is often cited by papers focused on Time Series Analysis and Forecasting (1 paper), Machine Learning and Data Classification (1 paper) and Mobile Crowdsensing and Crowdsourcing (1 paper). Roy Wedge collaborates with scholars based in United States. Roy Wedge's co-authors include Kalyan Veeramachaneni and Micah J. Smith and has published in prestigious journals such as .

In The Last Decade

Roy Wedge

2 papers receiving 279 citations

Hit Papers

The Synthetic Data Vault 2016 2026 2019 2022 2016 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
Roy Wedge United States 2 162 41 39 31 29 2 292
Mehdi Naseriparsa Australia 8 266 1.6× 41 1.0× 39 1.0× 76 2.5× 27 0.9× 13 413
Cen Chen China 11 215 1.3× 30 0.7× 36 0.9× 53 1.7× 19 0.7× 43 349
Veselka Boeva Sweden 11 151 0.9× 56 1.4× 27 0.7× 47 1.5× 35 1.2× 64 358
Josef Küng Austria 9 134 0.8× 33 0.8× 35 0.9× 76 2.5× 37 1.3× 75 289
James Jordon United Kingdom 8 267 1.6× 26 0.6× 90 2.3× 26 0.8× 25 0.9× 10 379
Sujala D. Shetty United Arab Emirates 10 112 0.7× 20 0.5× 34 0.9× 90 2.9× 24 0.8× 34 275
Jainendra K. Navlakha United States 4 99 0.6× 23 0.6× 67 1.7× 42 1.4× 27 0.9× 7 285
Patrick Riley United States 11 151 0.9× 59 1.4× 30 0.8× 14 0.5× 21 0.7× 26 292
Jian Kang United States 10 237 1.5× 26 0.6× 52 1.3× 82 2.6× 13 0.4× 41 375

Countries citing papers authored by Roy Wedge

Since Specialization
Citations

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

Fields of papers citing papers by Roy Wedge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roy Wedge

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

All Works

2 of 2 papers shown
1.
Smith, Micah J., Roy Wedge, & Kalyan Veeramachaneni. (2017). FeatureHub: Towards Collaborative Data Science. 590–600. 14 indexed citations
2.
Wedge, Roy, et al.. (2016). The Synthetic Data Vault. 399–410. 278 indexed citations breakdown →

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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