Paul Elmore

950 total citations
48 papers, 691 citations indexed

About

Paul Elmore is a scholar working on Oceanography, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Paul Elmore has authored 48 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oceanography, 15 papers in Artificial Intelligence and 11 papers in Management Science and Operations Research. Recurrent topics in Paul Elmore's work include Underwater Acoustics Research (16 papers), Multi-Criteria Decision Making (11 papers) and Coastal and Marine Dynamics (8 papers). Paul Elmore is often cited by papers focused on Underwater Acoustics Research (16 papers), Multi-Criteria Decision Making (11 papers) and Coastal and Marine Dynamics (8 papers). Paul Elmore collaborates with scholars based in United States, Germany and United Kingdom. Paul Elmore's co-authors include H. C. Pumphrey, Kieran Holland, Frederick E. Petry, Ronald R. Yager, Derek T. Anderson, Ralph R. Goodman, Hasan N. Oğuz, Michael D. Richardson, Georges L. Chahine and Jorge C. Novarini and has published in prestigious journals such as Journal of Fluid Mechanics, The Journal of the Acoustical Society of America and Earth-Science Reviews.

In The Last Decade

Paul Elmore

46 papers receiving 656 citations

Peers

Paul Elmore

CM

EP

OCEAN

AI

ECOLO

Ronald D. Haynes Canada

Liaqat Ali Khan Pakistan

Lars Landberg United Kingdom

Troy Butler United States

Yongxiang Huang China

Thomas Slawig Germany

Didit Adytia Indonesia

Pierre Ailliot France

H.N.C. Breusers Netherlands

Ferhat Bingöl Türkiye

Ronald D. Haynes Canada

Paul Elmore

109 ×0.6

CM

46 ×0.3

EP

89 ×0.6

OCEAN

52 ×0.5

AI

32 ×0.3

ECOLO

Citations per year, relative to Paul Elmore Paul Elmore (= 1×) peers Ronald D. Haynes

Countries citing papers authored by Paul Elmore

Since Specialization

Citations

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

Fields of papers citing papers by Paul Elmore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Elmore

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Elmore. A scholar is included among the top collaborators of Paul Elmore 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 Paul Elmore. Paul Elmore 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

1.

Elmore, Paul, et al.. (2023). Aggregation Methods Using Bathymetry Sources of Differing Subjective Reliabilities for Navigation Mapping. Marine Geodesy. 46(2). 99–128. 4 indexed citations

2.

Elmore, Paul, et al.. (2019). Applying single-image super-resolution for the enhancement of deep-water bathymetry. Heliyon. 5(10). e02570–e02570. 5 indexed citations

3.

Islam, Muhammad Aminul, Derek T. Anderson, Frederick E. Petry, & Paul Elmore. (2018). An efficient evolutionary algorithm to optimize the Choquet integral. International Journal of Intelligent Systems. 34(3). 366–385. 11 indexed citations

4.

Anderson, Derek T., Muhammad Aminul Islam, Roger L. King, et al.. (2017). Binary fuzzy measures and Choquet integration for multi-source fusion. 30. 676–681. 7 indexed citations

5.

Elmore, Paul, et al.. (2017). High Resolution Bathymetry Estimation Improvement with Single Image Super-Resolution Algorithm Super-Resolution Forests. 1 indexed citations

6.

Elmore, Paul, et al.. (2017). Automated cleaning and uncertainty attribution of archival bathymetry based on a priori knowledge. Marine Geophysical Research. 38(3). 291–301. 6 indexed citations

7.

Yager, Ronald R., Paul Elmore, & Frederick E. Petry. (2016). Soft likelihood functions in combining evidence. Information Fusion. 36. 185–190. 50 indexed citations

8.

Elmore, Paul, et al.. (2016). Achieving comparable uncertainty estimates with Kalman filters or linear smoothers for bathymetry data. Geochemistry Geophysics Geosystems. 17(7). 2576–2590. 6 indexed citations

9.

Elmore, Paul, Frederick E. Petry, & Ronald R. Yager. (2016). Geospatial Modeling Using Dempster–Shafer Theory. IEEE Transactions on Cybernetics. 47(6). 1551–1561. 11 indexed citations

10.

Petry, Frederick E., Paul Elmore, & Ronald R. Yager. (2015). Combining uncertain information of differing modalities. Information Sciences. 322. 237–256. 18 indexed citations

11.

Elmore, Paul, et al.. (2015). Grid Retaining Irregular Network (GRIN) for advanced geospatial data representations. 28–32. 1 indexed citations

12.

Elmore, Paul, et al.. (2012). Uncertainty estimation for databased bathymetry using a Bayesian network approach. Geochemistry Geophysics Geosystems. 13(9). 7 indexed citations

13.

Holland, Kieran & Paul Elmore. (2008). A review of heterogeneous sediments in coastal environments. Earth-Science Reviews. 89(3-4). 116–134. 126 indexed citations

14.

Elmore, Paul, et al.. (2007). Environmental Measurements Derived from Tactical Mine-Hunting Sonar Data. OCEANS 2007 - Europe. 1–5. 5 indexed citations

15.

Trembanis, Arthur C., Carl T. Friedrichs, Michael D. Richardson, et al.. (2007). Predicting Seabed Burial of Cylinders by Wave-Induced Scour: Application to the Sandy Inner Shelf Off. 1 indexed citations

16.

Trembanis, Arthur C., Carl T. Friedrichs, Michael D. Richardson, et al.. (2007). Predicting Seabed Burial of Cylinders by Wave-Induced Scour: Application to the Sandy Inner Shelf Off Florida and Massachusetts. IEEE Journal of Oceanic Engineering. 32(1). 167–183. 27 indexed citations

17.

Elmore, Paul & Michael D. Richardson. (2003). Regional Mine Burial Prediction Using Monte Carlo and Deterministic Methods. Defense Technical Information Center (DTIC). 1 indexed citations

18.

Elmore, Paul, et al.. (2003). Higher order corrections to an iterative approach for approximating bubble distributions from attenuation measurements. IEEE Journal of Oceanic Engineering. 28(1). 117–120. 6 indexed citations

19.

Elmore, Paul, et al.. (1999). An iterative approach for approximating bubble distributions from attenuation measurements. The Journal of the Acoustical Society of America. 106(1). 185–189. 19 indexed citations

20.

Elmore, Paul, et al.. (1998). The Scripps Pier Bubble Experiment of 1997 and overview of rip events and their effects on acoustics measurements. The Journal of the Acoustical Society of America. 103(5_Supplement). 2828–2828.

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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