James E. Moore

3.2k total citations
94 papers, 2.3k citations indexed

About

James E. Moore is a scholar working on Transportation, Building and Construction and Pulmonary and Respiratory Medicine. According to data from OpenAlex, James E. Moore has authored 94 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Transportation, 21 papers in Building and Construction and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in James E. Moore's work include Transportation Planning and Optimization (25 papers), Neonatal Respiratory Health Research (12 papers) and Traffic Prediction and Management Techniques (12 papers). James E. Moore is often cited by papers focused on Transportation Planning and Optimization (25 papers), Neonatal Respiratory Health Research (12 papers) and Traffic Prediction and Management Techniques (12 papers). James E. Moore collaborates with scholars based in United States, Australia and South Korea. James E. Moore's co-authors include Robert E. Kalaba, Yueyue Fan, Stephanie E. Chang, Masanobu Shinozuka, Terri Marin, Kathleen Saunders, Michael Von Korff, Geneviève Giuliano, Kate Lorig and Daniel C. Cherkin and has published in prestigious journals such as The Journal of Physiology, Journal of Consulting and Clinical Psychology and Journal of Applied Physiology.

In The Last Decade

James E. Moore

87 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James E. Moore United States 25 481 422 349 287 276 94 2.3k
David R. Ragland United States 42 102 0.2× 1.7k 4.0× 590 1.7× 394 1.4× 170 0.6× 181 6.8k
Kelvin K.W. Yau Hong Kong 35 141 0.3× 472 1.1× 104 0.3× 471 1.6× 214 0.8× 106 4.4k
Eduard Zaloshnja United States 23 107 0.2× 184 0.4× 78 0.2× 64 0.2× 234 0.8× 54 2.7k
Ann Williamson Australia 39 53 0.1× 530 1.3× 400 1.1× 83 0.3× 91 0.3× 192 5.6k
Judith Charlton Australia 40 40 0.1× 2.0k 4.8× 84 0.2× 67 0.2× 441 1.6× 224 5.2k
Jan Persson Sweden 33 15 0.0× 366 0.9× 774 2.2× 177 0.6× 386 1.4× 174 3.7k
Xiaogang Su United States 23 99 0.2× 70 0.2× 32 0.1× 136 0.5× 119 0.4× 82 2.0k
Aaron Cohen United States 35 69 0.1× 77 0.2× 110 0.3× 66 0.2× 130 0.5× 116 4.6k
Carlo Meloni Italy 28 39 0.1× 129 0.3× 28 0.1× 91 0.3× 137 0.5× 147 2.3k
Klaus Kaae Andersen Denmark 42 43 0.1× 31 0.1× 76 0.2× 599 2.1× 753 2.7× 151 5.5k

Countries citing papers authored by James E. Moore

Since Specialization
Citations

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

Fields of papers citing papers by James E. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Moore. 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 James E. Moore. The network helps show where James E. Moore may publish in the future.

Co-authorship network of co-authors of James E. Moore

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

All Works

20 of 20 papers shown
1.
Marin, Terri & James E. Moore. (2023). Understanding Near-Infrared Spectroscopy. Critical Care Nursing Clinics of North America. 36(1). 41–50. 3 indexed citations
2.
Moore, James E., et al.. (2021). Regional Oxygenation and Perfusion Monitoring to Optimize Neonatal Packed Red Blood Cell Transfusion Practices: A Systematic Review. Transfusion Medicine Reviews. 36(1). 27–47. 9 indexed citations
3.
Caldwell, Jennifer, et al.. (2020). Maternal H-antigen secretor status is an early biomarker for potential preterm delivery. Journal of Perinatology. 41(9). 2147–2155. 7 indexed citations
4.
Brownell, Elizabeth, Richard Feinn, Kathleen Haines, et al.. (2020). Comparison of Types of Breast Milk Fortification at Discharge from the Neonatal Intensive Care Unit and Breast Milk Feeding Rates and Growth at 4 Months Corrected Age. Breastfeeding Medicine. 15(10). 655–661. 4 indexed citations
5.
Mintzer, Jonathan & James E. Moore. (2019). Regional tissue oxygenation monitoring in the neonatal intensive care unit: evidence for clinical strategies and future directions. Pediatric Research. 86(3). 296–304. 30 indexed citations
6.
Marin, Terri & James E. Moore. (2018). Mesenteric Oxygenation Changes Associated With Necrotizing Enterocolitis and Pneumoperitoneum After Multiple Blood Transfusions. Advances in Neonatal Care. 18(2). 121–127. 10 indexed citations
7.
Marin, Terri, et al.. (2014). Feeding Preterm Infants during Red Blood Cell Transfusion Is Associated with a Decline in Postprandial Mesenteric Oxygenation. The Journal of Pediatrics. 165(3). 464–471.e1. 45 indexed citations
8.
Rogido, M., et al.. (2006). Gender differences in long-term beneficial effects of erythropoietin given after neonatal stroke in postnatal day-7 rats. Neuroscience. 139(3). 803–811. 68 indexed citations
9.
Wen, Tong‐Chun, et al.. (2005). Cardiotrophin-1 protects cortical neuronal cells against free radical-induced injuries in vitro. Neuroscience Letters. 387(1). 38–42. 20 indexed citations
10.
Giuliano, Geneviève, et al.. (2002). San Gabriel Valley Smart Shuttle Technology (SGVSST) Field Operational Test Evaluation. PATH research report. 2 indexed citations
11.
Giuliano, Geneviève, et al.. (2002). San Gabriel Valley Smart Shuttle Technology (SGVSST) Field Operational Test Evaluation: Final Report. eScholarship (California Digital Library). 5 indexed citations
12.
Moore, James E., et al.. (2001). Use of Los Angeles Freeway Service Patrol Vehicles as Probe Vehicles. PATH research report. 18 indexed citations
13.
McNally, Michael G., et al.. (2001). DOCUMENTATION OF THE IRVINE INTEGRATED CORRIDOR FREEWAY RAMP METERING AND ARTERIAL ADAPTIVE CONTROL FIELD OPERATIONAL TEST. eScholarship (California Digital Library). 2 indexed citations
14.
Chang, Stephanie E., Masanobu Shinozuka, & James E. Moore. (2000). Probabilistic Earthquake Scenarios: Extending Risk Analysis Methodologies to Spatially Distributed Systems. Earthquake Spectra. 16(3). 557–572. 178 indexed citations
15.
Moore, James E., et al.. (1999). Ten myths about US urban rail systems. ORCA Online Research @Cardiff (Cardiff University). 43 indexed citations
16.
Werner, Stuart D., et al.. (1997). 2. Loss Estimation Due to Seismic Risks to Highway Systems. Earthquake Spectra. 13(4). 585–604. 29 indexed citations
17.
Moore, James E., et al.. (1997). EVALUATING SYSTEM ATMIS TECHNOLOGIES VIA RAPID ESTIMATION OF NETWORK FLOWS: FINAL REPORT. PATH research report. 7 indexed citations
18.
Moore, James E., et al.. (1991). Linear programming, recurrent associative memories, and feed-forward neural networks. Computers & Mathematics with Applications. 22(11). 71–90. 7 indexed citations
19.
Ku, David N., Seymour Glagov, James E. Moore, & Christopher K. Zarins. (1989). Flow patterns in the abdominal aorta under simulated postprandial and exercise conditions: An experimental study. Journal of Vascular Surgery. 9(2). 309–316. 6 indexed citations
20.
Moore, James E., et al.. (1988). Risk of misinterpretation of MMPI Schizophrenia scale elevations in chronic pain patients. Pain. 32(2). 207–213. 21 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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