Maria Newcomb

2.8k total citations
30 papers, 1.1k citations indexed

About

Maria Newcomb is a scholar working on Plant Science, Ecology and Molecular Biology. According to data from OpenAlex, Maria Newcomb has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 7 papers in Ecology and 5 papers in Molecular Biology. Recurrent topics in Maria Newcomb's work include Wheat and Barley Genetics and Pathology (18 papers), Genetics and Plant Breeding (11 papers) and Plant Disease Resistance and Genetics (10 papers). Maria Newcomb is often cited by papers focused on Wheat and Barley Genetics and Pathology (18 papers), Genetics and Plant Breeding (11 papers) and Plant Disease Resistance and Genetics (10 papers). Maria Newcomb collaborates with scholars based in United States, Kenya and Italy. Maria Newcomb's co-authors include Yue Jin, Richard W. Ward, Nadia Shakoor, Vasit Sagan, Maitiniyazi Maimaitijiang, Todd C. Mockler, Matthew N. Rouse, Les J. Szabo, Douglas G. Luster and Pablo D. Olivera and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Plant Cell & Environment.

In The Last Decade

Maria Newcomb

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Newcomb United States 20 830 307 212 201 176 30 1.1k
Nadia Shakoor United States 16 829 1.0× 592 1.9× 233 1.1× 136 0.7× 347 2.0× 36 1.4k
Jonathan A. Atkinson United Kingdom 18 1.5k 1.8× 250 0.8× 158 0.7× 259 1.3× 130 0.7× 35 1.8k
Duke Pauli United States 14 676 0.8× 299 1.0× 149 0.7× 74 0.4× 170 1.0× 36 923
David M. Deery Australia 14 1.0k 1.2× 605 2.0× 228 1.1× 64 0.3× 330 1.9× 22 1.4k
William D. Bovill Australia 18 1.0k 1.2× 276 0.9× 191 0.9× 129 0.6× 183 1.0× 26 1.2k
M. T. Nieto‐Taladriz Spain 20 1.2k 1.4× 330 1.1× 123 0.6× 74 0.4× 86 0.5× 45 1.3k
Xavier Sirault Australia 22 1.7k 2.1× 673 2.2× 281 1.3× 292 1.5× 429 2.4× 38 2.2k
Francisco Pinto Mexico 19 1.0k 1.3× 866 2.8× 268 1.3× 112 0.6× 241 1.4× 37 1.6k
Matthew M. Conley United States 15 970 1.2× 417 1.4× 140 0.7× 57 0.3× 123 0.7× 30 1.3k
Tsutomu Matsui Japan 22 1.6k 1.9× 249 0.8× 416 2.0× 177 0.9× 131 0.7× 61 1.9k

Countries citing papers authored by Maria Newcomb

Since Specialization
Citations

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

Fields of papers citing papers by Maria Newcomb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Newcomb

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Newcomb. A scholar is included among the top collaborators of Maria Newcomb 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 Maria Newcomb. Maria Newcomb 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.
Sagan, Vasit, Haireti Alifu, Maria Newcomb, et al.. (2023). Early Detection of Drought Stress in Durum Wheat Using Hyperspectral Imaging and Photosystem Sensing. Remote Sensing. 16(1). 155–155. 7 indexed citations
2.
Newcomb, Maria, Marco Maccaferri, Cristian Forestan, et al.. (2022). Genome Wide Association Study Uncovers the QTLome for Osmotic Adjustment and Related Drought Adaptive Traits in Durum Wheat. Genes. 13(2). 293–293. 15 indexed citations
3.
Newcomb, Maria & Nadia Shakoor. (2022). Nighttime Chlorophyll Fluorescence Imaging of Dark-Adapted Plants Using a Robotic Field Phenotyping Platform. Methods in molecular biology. 2539. 213–220. 4 indexed citations
4.
Sagan, Vasit, Maitiniyazi Maimaitijiang, Sidike Paheding, et al.. (2021). Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–20. 31 indexed citations
5.
Piepho, Hans‐Peter, Maria Newcomb, Richard W. Ward, et al.. (2021). High‐throughput field phenotyping reveals genetic variation in photosynthetic traits in durum wheat under drought. Plant Cell & Environment. 44(9). 2858–2878. 14 indexed citations
6.
Sánchez‐Bragado, Rut, Maria Newcomb, Fadia Chairi, et al.. (2020). Carbon Isotope Composition and the NDVI as Phenotyping Approaches for Drought Adaptation in Durum Wheat: Beyond Trait Selection. Agronomy. 10(11). 1679–1679. 3 indexed citations
7.
Maimaitijiang, Maitiniyazi, Vasit Sagan, Maria Newcomb, et al.. (2020). UAV-BASED SORGHUM GROWTH MONITORING: A COMPARATIVE ANALYSIS OF LIDAR AND PHOTOGRAMMETRY. SHILAP Revista de lepidopterología. V-3-2020. 489–496. 27 indexed citations
8.
Bhadra, Sourav, Vasit Sagan, Maitiniyazi Maimaitijiang, et al.. (2020). Quantifying Leaf Chlorophyll Concentration of Sorghum from Hyperspectral Data Using Derivative Calculus and Machine Learning. Remote Sensing. 12(13). 2082–2082. 67 indexed citations
9.
Babaeian, Ebrahim, Paheding Sidike, Maria Newcomb, et al.. (2019). A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture. Frontiers in Big Data. 2. 37–37. 36 indexed citations
10.
Olivera, Pablo D., Les J. Szabo, Maria Newcomb, et al.. (2019). Presence of a Sexual Population of Puccinia graminis f. sp. tritici in Georgia Provides a Hotspot for Genotypic and Phenotypic Diversity. Phytopathology. 109(12). 2152–2160. 50 indexed citations
11.
Sagan, Vasit, Maitiniyazi Maimaitijiang, Paheding Sidike, et al.. (2019). UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras. Remote Sensing. 11(3). 330–330. 196 indexed citations
12.
Maccaferri, Marco, Maria Newcomb, Pedro Andrade-Sánchez, et al.. (2018). Comparative Aerial and Ground Based High Throughput Phenotyping for the Genetic Dissection of NDVI as a Proxy for Drought Adaptive Traits in Durum Wheat. Frontiers in Plant Science. 9. 1885–1885. 122 indexed citations
13.
Kooper, Rob, Noah Fahlgren, Todd C. Mockler, et al.. (2018). TERRA-REF Data Processing Infrastructure. 1–7. 20 indexed citations
14.
Babiker, Ebrahiem, Shiaoman Chao, Matthew N. Rouse, et al.. (2016). Genetic mapping of resistance to the Ug99 race group of Puccinia graminis f. sp. tritici in a spring wheat landrace CItr 4311. Theoretical and Applied Genetics. 129(11). 2161–2170. 11 indexed citations
15.
Newcomb, Maria, Pablo D. Olivera, Matthew N. Rouse, et al.. (2016). Kenyan Isolates of Puccinia graminis f. sp. tritici from 2008 to 2014: Virulence to SrTmp in the Ug99 Race Group and Implications for Breeding Programs. Phytopathology. 106(7). 729–736. 71 indexed citations
16.
Babiker, Ebrahiem, Shiaoman Chao, Maria Newcomb, et al.. (2015). Mapping resistance to the Ug99 race group of the stem rust pathogen in a spring wheat landrace. Theoretical and Applied Genetics. 128(4). 605–612. 35 indexed citations
17.
Bernardo, Amy, Robert L. Bowden, Matthew N. Rouse, et al.. (2013). Validation of Molecular Markers for New Stem Rust Resistance Genes in U.S. Hard Winter Wheat. Crop Science. 53(3). 755–764. 19 indexed citations
18.
Newcomb, Maria, Christen D. Upper, & D. I. Rouse. (2010). Factors Contributing to Seasonal Fluctuations in Rust Severity onRibes missourienseCaused byCronartium ribicola. Phytopathology. 100(10). 986–996. 10 indexed citations
19.
Six, Diana L. & Maria Newcomb. (2005). A rapid system for rating white pine blister rust incidence, severity, and within-tree distribution in whitebark pine. Northwest Science. 79. 189–195. 9 indexed citations
20.
Newcomb, Maria. (2003). White pine blister rust whitebark pine and Ribes species in the Greater Yellowstone area. The Mathematics Enthusiast. 14 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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