Deborah Khider

1.4k total citations
25 papers, 461 citations indexed

About

Deborah Khider is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Deborah Khider has authored 25 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atmospheric Science, 6 papers in Global and Planetary Change and 5 papers in Artificial Intelligence. Recurrent topics in Deborah Khider's work include Geology and Paleoclimatology Research (17 papers), Semantic Web and Ontologies (5 papers) and Isotope Analysis in Ecology (4 papers). Deborah Khider is often cited by papers focused on Geology and Paleoclimatology Research (17 papers), Semantic Web and Ontologies (5 papers) and Isotope Analysis in Ecology (4 papers). Deborah Khider collaborates with scholars based in United States, Switzerland and Mexico. Deborah Khider's co-authors include Julien Emile‐Geay, Lowell Stott, L. E. Lisiecki, Charles E. Lawrence, Nicholas P. McKay, S. Ahn, Ashish Sinha, R. Lawrence Edwards, Hai Cheng and C. S. Jackson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Geophysical Research Letters.

In The Last Decade

Deborah Khider

21 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah Khider United States 11 407 145 109 75 74 25 461
Moumita Das India 8 435 1.1× 174 1.2× 48 0.4× 109 1.5× 145 2.0× 11 472
KA Hughen United States 4 294 0.7× 184 1.3× 60 0.6× 75 1.0× 101 1.4× 6 430
V. M. Kotlyakov Russia 6 550 1.4× 184 1.3× 117 1.1× 48 0.6× 54 0.7× 12 623
Michael Kalk United States 5 392 1.0× 126 0.9× 56 0.5× 63 0.8× 77 1.0× 6 422
Yoshimi Kubota Japan 11 360 0.9× 177 1.2× 23 0.2× 104 1.4× 75 1.0× 27 395
Habib Toye Saudi Arabia 6 393 1.0× 130 0.9× 73 0.7× 42 0.6× 71 1.0× 8 432
Xianghui Kong China 9 456 1.1× 114 0.8× 51 0.5× 172 2.3× 24 0.3× 18 475
Joan Cowley Australia 9 291 0.7× 112 0.8× 58 0.5× 116 1.5× 41 0.6× 13 445
Maria Gehrels United Kingdom 9 319 0.8× 119 0.8× 23 0.2× 94 1.3× 47 0.6× 13 382
D. Oppo United States 5 346 0.9× 178 1.2× 30 0.3× 90 1.2× 63 0.9× 7 412

Countries citing papers authored by Deborah Khider

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Khider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Khider

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Khider. A scholar is included among the top collaborators of Deborah Khider 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 Deborah Khider. Deborah Khider 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.
Shi, Yuning, Felipe Montes, Francesco Di Gioia, et al.. (2025). Adapting agriculture to climate catastrophes: the nuclear winter case. Environmental Research Letters. 20(6). 64006–64006.
2.
Emile‐Geay, Julien, et al.. (2025). Global Speleothem Analysis Reveals State‐Dependent Hydrological Response to Orbital Forcing. Paleoceanography and Paleoclimatology. 40(8).
3.
Zhu, Feng, Julien Emile‐Geay, Gregory J. Hakim, et al.. (2024). cfr (v2024.1.26): a Python package for climate field reconstruction. Geoscientific model development. 17(8). 3409–3431. 3 indexed citations
4.
Emile‐Geay, Julien, et al.. (2024). Detecting Paleoclimate Transitions With Laplacian Eigenmaps of Recurrence Matrices (LERM). Paleoceanography and Paleoclimatology. 39(1). 1 indexed citations
5.
Khider, Deborah, et al.. (2022). Pyleoclim: Paleoclimate Timeseries Analysis and Visualization With Python. Paleoceanography and Paleoclimatology. 37(10). 24 indexed citations
6.
McKay, Nicholas P., Julien Emile‐Geay, & Deborah Khider. (2021). geoChronR – an R package to model, analyze, and visualize age-uncertain data. SHILAP Revista de lepidopterología. 3(1). 149–169. 41 indexed citations
7.
Khider, Deborah, et al.. (2021). Pyleoclim: A Python package for the analysis of paleoclimate data. Zenodo (CERN European Organization for Nuclear Research).
8.
Emile‐Geay, Julien, Deborah Khider, Daniel Garijo, et al.. (2019). The Linked Earth Ontology: A Modular, Extensible Representation of Open Paleoclimate Data. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
9.
Khider, Deborah, et al.. (2019). autoTS: Automated Machine Learning for Time Series Analysis. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
10.
Richey, Julie N., et al.. (2019). Considerations for Globigerinoides ruber (White and Pink) Paleoceanography: Comprehensive Insights From a Long‐Running Sediment Trap. Paleoceanography and Paleoclimatology. 34(3). 353–373. 17 indexed citations
11.
Zhu, Feng, Julien Emile‐Geay, Nicholas P. McKay, et al.. (2019). Climate models can correctly simulate the continuum of global-average temperature variability. Proceedings of the National Academy of Sciences. 116(18). 8728–8733. 41 indexed citations
12.
Garijo, Daniel, Kelly M. Cobourn, Ewa Deelman, et al.. (2018). Integrating Models Through Knowledge-Powered Data and Process Composition. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
13.
Gil, Yolanda, Kelly M. Cobourn, Ewa Deelman, et al.. (2018). MINT: Model INTegration Through Knowledge-Powered Data and Process Composition. ScholarsArchive (Brigham Young University). 7 indexed citations
14.
Emile‐Geay, Julien, et al.. (2018). LinkedEarth: supporting paleoclimate data standards and crowd curation. Past Global Change Magazine. 26(2). 62–63. 2 indexed citations
15.
Garijo, Daniel, Deborah Khider, Yolanda Gil, et al.. (2018). A Semantic Model Catalog to Support Comparison and Reuse. ScholarsArchive (Brigham Young University). 2 indexed citations
16.
Khider, Deborah, S. Ahn, L. E. Lisiecki, Charles E. Lawrence, & Markus Kienast. (2017). The Role of Uncertainty in Estimating Lead/Lag Relationships in Marine Sedimentary Archives: A Case Study From the Tropical Pacific. Paleoceanography. 32(11). 1275–1290. 10 indexed citations
17.
Khider, Deborah, Julien Emile‐Geay, Nicholas P. McKay, C. S. Jackson, & Cody Routson. (2016). Testing the Millennial-Scale Holocene Solar-Climate Connection in the Indo-Pacific Warm Pool. AGUFM. 2016.
18.
Berelson, William M., Robert C. Thunell, Eric Tappa, et al.. (2016). Decadal to centennial fluctuations in the intensity of the eastern tropical North Pacific oxygen minimum zone during the last 1200 years. Paleoceanography. 31(8). 1138–1151. 18 indexed citations
19.
Khider, Deborah, Gabriel Huerta, C. S. Jackson, Lowell Stott, & Julien Emile‐Geay. (2015). A Bayesian, multivariate calibration for Globigerinoides ruberMg/Ca. Geochemistry Geophysics Geosystems. 16(9). 2916–2932. 26 indexed citations
20.
Khider, Deborah, Lowell Stott, Julien Emile‐Geay, Robert C. Thunell, & Douglas E. Hammond. (2011). Assessing El Niño Southern Oscillation variability during the past millennium. Paleoceanography. 26(3). 44 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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