Richard Field

1.1k total citations
60 papers, 752 citations indexed

About

Richard Field is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Environmental Engineering. According to data from OpenAlex, Richard Field has authored 60 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics, Probability and Uncertainty, 18 papers in Civil and Structural Engineering and 13 papers in Environmental Engineering. Recurrent topics in Richard Field's work include Probabilistic and Robust Engineering Design (28 papers), Structural Health Monitoring Techniques (15 papers) and Wind and Air Flow Studies (9 papers). Richard Field is often cited by papers focused on Probabilistic and Robust Engineering Design (28 papers), Structural Health Monitoring Techniques (15 papers) and Wind and Air Flow Studies (9 papers). Richard Field collaborates with scholars based in United States and China. Richard Field's co-authors include M. Grigoriu, Richard M. Noyes, E. Kőrös, John M Emery, Lawrence A. Bergman, Garth Reese, David S. Epp, John Red-Horse, Mircea Grigoriu and Michael Eldred and has published in prestigious journals such as Journal of the American Chemical Society, IEEE Transactions on Signal Processing and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Richard Field

52 papers receiving 710 citations

Peers

Richard Field

SPU

CSE

CNC

Fang Tong China

Bart G. van Bloemen Waanders United States

Xiu Yang United States

Apostolos F. Psaros United States

Jize Zhang United States

James C. Peyton Jones United States

Alberto Bernardini Italy

Domenico Spina Belgium

Sylvan Elhay Australia

Gabriel Terejanu United States

Fang Tong China

Richard Field

266 ×0.9

SPU

269 ×1.2

CSE

306 ×2.6

CNC

68 ×0.7

47 ×0.5

Citations per year, relative to Richard Field Richard Field (= 1×) peers Fang Tong

Countries citing papers authored by Richard Field

Since Specialization

Citations

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

Fields of papers citing papers by Richard Field

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Field

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

All Works

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20 of 20 papers shown

Wendt, Jeremy, et al.. (2018). Efficient Transfer Learning for Neural Network Language Models. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 897–902.

Ting, Christina, et al.. (2018). Compression Analytics for Classification and Anomaly Detection Within Network Communication. IEEE Transactions on Information Forensics and Security. 14(5). 1366–1376. 16 indexed citations

Wendt, Jeremy, Randy Wells, Richard Field, & Sucheta Soundarajan. (2016). On data collection, graph construction, and sampling in Twitter. 985–992. 4 indexed citations

Emery, John M, Mircea Grigoriu, & Richard Field. (2016). Bayesian methods for characterizing unknown parameters of material models. Applied Mathematical Modelling. 40(13-14). 6395–6411. 13 indexed citations

Wendt, Jeremy, Randy Wells, Richard Field, & Sucheta Soundarajan. (2016). On data collection, graph construction, and sampling in Twitter. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 985–992. 5 indexed citations

Bishop, Joseph E., John M Emery, Richard Field, Christopher R. Weinberger, & David John Littlewood. (2015). Direct numerical simulations in solid mechanics for understanding the macroscale effects of microscale material variability. Computer Methods in Applied Mechanics and Engineering. 287. 262–289. 35 indexed citations

Grigoriu, M. & Richard Field. (2013). A method for analysis of linear dynamic systems driven by stationary non-Gaussian noise with applications to turbulence-induced random vibration. Applied Mathematical Modelling. 38(1). 336–354. 10 indexed citations

Grigoriu, M. & Richard Field. (2013). A two-step method for analysis of linear systems with uncertain parameters driven by Gaussian noise. Probabilistic Engineering Mechanics. 34. 200–210.

Reedy, E.D., et al.. (2011). Predicting Fracture in Micrometer-Scale Polycrystalline Silicon MEMS Structures. Journal of Microelectromechanical Systems. 20(4). 922–932. 32 indexed citations

10.

Field, Richard & M. Grigoriu. (2010). A Poisson random field model for intermittent phenomena with application to laminar-turbulent transition and material microstructure. Applied Mathematical Modelling. 35(3). 1142–1156. 7 indexed citations

11.

Field, Richard, et al.. (2010). Modeling of atmospheric temperature fluctuations by translations of oscillatory random processes with application to spacecraft atmospheric re-entry. Probabilistic Engineering Mechanics. 26(2). 231–239. 5 indexed citations

12.

Grigoriu, Mircea & Richard Field. (2007). A solution to the static frame validation challenge problem using Bayesian model selection. Computer Methods in Applied Mechanics and Engineering. 197(29-32). 2540–2549. 9 indexed citations

13.

Allen, Matthew S., Jordan E. Massad, & Richard Field. (2006). Modeling and Input Optimization Under Uncertainty for a Collection of RF MEMS Devices. 57–63. 3 indexed citations

14.

Field, Richard & David S. Epp. (2006). Development and calibration of a stochastic dynamics model for the design of a MEMS inertial switch. Sensors and Actuators A Physical. 134(1). 109–118. 25 indexed citations

15.

Field, Richard, et al.. (2005). Probabilistic Analysis and Design of a MEMS Re-Entry Switch. 369–376. 1 indexed citations

16.

Field, Richard, et al.. (2003). Management of Combined Sewer Overflows. 13 indexed citations

17.

Reese, Garth, Richard Field, & Daniel J. Segalman. (2000). A Tutorial on Design Analysis Using von Mises Stress in Random Vibration Environments. The Shock and Vibration Digest. 32(6). 466–474. 8 indexed citations

18.

Field, Richard & Lawrence A. Bergman. (1998). Investigating a reliable covariance control scheme for MDOF systems. 2564–2568 vol.4. 1 indexed citations

19.

Field, Richard & Lawrence A. Bergman. (1998). Reliability-Based Approach to Linear Covariance Control Design. Journal of Engineering Mechanics. 124(2). 193–199. 20 indexed citations

20.

Noyes, Richard M., Richard Field, & E. Kőrös. (1972). Oscillations in chemical systems. I. Detailed mechanism in a system showing temporal oscillations. Journal of the American Chemical Society. 94(4). 1394–1395. 132 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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