Andrew Grace

1.8k citations
10 papers · 1.3k · 2 hit papers · h-index 6

Impact in

Papers in

Andrew Grace

9 papers receiving 1.2k citations

Andrew Grace's Hit Papers

Optimization toolbox : for use with MATLAB 1999 · 580 citations
5800+9+18Years since publication200400600

Peers

Andrew Grace
Comparison fields: 5 of 146
  • Control and Systems Engineering 409
  • Statistics, Probability and Uncertainty 76
  • Computational Theory and Mathematics 123
  • Civil and Structural Engineering 159
  • Numerical Analysis 38
Replace Mark A. Kramer with:
Mark A. Kramer United States
Xi Chen China
Dongshu Wang China
R. E. Edwards United Kingdom
R. Escarela-Pérez Mexico
Junhong Li China
Richard A. Waltz United States
John Plummer United States
Christopher R. Houck United States
Maria Gabriella Xibilia Italy
Andrew Grace relative to Mark A. Kramer United States Mark A. Kramer's profile →
Citations per field
00.5×1.7×
Mark A. Kramer · 1×
Citations per year

Countries citing papers authored by Andrew Grace

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Grace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Andrew Grace, 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 Andrew Grace Line = papers co-authored together Andrew Grace links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Optimization Toolbox User's Guide
Hit paper breakdown →
1998648
2
Optimization toolbox : for use with MATLAB
Hit paper breakdown →
1999580
3
An optimization toolbox for MATLAB
199116
4 199714
5 201810
6 19916
7
SIMULAB an integrated environment for simulation and control
19913
8 19981
9 20001
10 20160

About Andrew Grace

Andrew Grace is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Sociology and Political Science, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Real-time simulation and control systems (3 papers), Modeling and Simulation Systems (2 papers), Video Analysis and Summarization (2 papers), Simulation Techniques and Applications (2 papers), Multimedia Communication and Technology (2 papers), Advanced Control Systems Optimization (2 papers), Web Data Mining and Analysis (1 paper) and Higher Education and Employability (1 paper). The work is most often cited by research in Control and Systems Engineering (409 citations), Statistics, Probability and Uncertainty (76 citations), Computational Theory and Mathematics (123 citations), Civil and Structural Engineering (159 citations) and Numerical Analysis (38 citations). Andrew Grace has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Thomas F. Coleman, Suanne Gibson and P.J. Fleming. Their work appears in journals such as Brontë Studies, Teaching in Higher Education and BT Technology Journal.

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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