Stephen J. Wright

12 papers receiving 557 citations

Stephen J. Wright's Hit Papers

Optimization for Machine Learning 2011 · 537 citations
5370+5+10Years since publication100200300400500

Peers

Stephen J. Wright
Comparison fields: 5 of 132
  • Numerical Analysis 94
  • Computational Mathematics 5
  • Computational Mechanics 162
  • Artificial Intelligence 218
  • Computational Theory and Mathematics 107
Replace John Darzentas with:
John Darzentas Greece
Xiaoye Jiang United States
George P. Papavassilopoulos United States
Zirui Zhou Canada
Simon S. Du United States
Decision Systems.
Achim Bachem Germany
Giovanni Fasano Italy
Boujemâa Achchab Morocco
Jochen Gorski Germany
Stephen J. Wright relative to John Darzentas Greece John Darzentas's profile →
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Citations per year

Countries citing papers authored by Stephen J. Wright

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Wright. 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 Stephen J. Wright. The network helps show where Stephen J. Wright may publish in the future.

Co-authors

The 8 scholars most cited alongside Stephen J. Wright, 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 Stephen J. Wright Line = papers co-authored together Stephen J. Wright links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Optimization for Machine Learning
Hit paper breakdown →
2011537
2 199322
3 199915
4 19797
5
Change in consciousness.
19956
6 20113
7 20002
8
The new Negro
19611
9 20021
10 20231
11 20141
12 19981
13
Dogmatic Aesthetics: A Theology of Beauty in Dialogue with Robert W. Jenson
20141
14 20240
15 20100
16 20190

About Stephen J. Wright

Stephen J. Wright is a scholar working on Numerical Analysis, Political Science and International Relations, Control and Systems Engineering, Sociology and Political Science and Computational Mechanics, having authored 16 papers that have together received 598 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (3 papers), Advanced Control Systems Optimization (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Cloud Computing and Resource Management (1 paper), Distributed and Parallel Computing Systems (1 paper), Matrix Theory and Algorithms (1 paper) and Religion, Ecology, and Ethics (1 paper). The work is most often cited by research in Numerical Analysis (94 citations), Computational Mathematics (5 citations), Computational Mechanics (162 citations), Artificial Intelligence (218 citations) and Computational Theory and Mathematics (107 citations). Stephen J. Wright has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Suvrit Sra, Sebastian Nowozin, Robert A. Poirier, James B. Rawlings, Gabriele Pannocchia, John Flint, Marco Gabiccini and Mary K. Vernon. Their work appears in journals such as Mathematical Programming, African Studies Review, The Journal of Modern African Studies, The Journal of Negro Education and The International Journal of African Historical Studies.

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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