Deborah Khider

1.4k citations
25 papers · 461 · h-index 11

Impact in

Papers in

Deborah Khider

21 papers receiving 450 citations

Peers

Deborah Khider
Comparison fields: 5 of 45
  • Atmospheric Science 407
  • Earth-Surface Processes 75
  • Paleontology 70
  • Oceanography 74
  • Ecology 145
Replace Moumita Das with:
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Yoshimi Kubota Japan
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KA Hughen United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Deborah Khider, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deborah Khider Line = papers co-authored together Deborah Khider links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200984
2 201765
3 201144
4 202141
5 201941
6 201440
7 201526
8 202224
9 201423
10 201618
11 201917
12 201710
13 201910
14
MINT: Model INTegration Through Knowledge-Powered Data and Process Composition
20187
15 20243
16 20182
17
A Semantic Model Catalog to Support Comparison and Reuse
20182
18
Integrating Models Through Knowledge-Powered Data and Process Composition
20181
19 20191
20
autoTS: Automated Machine Learning for Time Series Analysis
20191

About Deborah Khider

Deborah Khider is a scholar working on Atmospheric Science, Global and Planetary Change, Artificial Intelligence, Oceanography and Ecology, having authored 25 papers that have together received 461 indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (17 papers), Semantic Web and Ontologies (5 papers), Isotope Analysis in Ecology (4 papers), Geological formations and processes (3 papers), Tree-ring climate responses (3 papers), Scientific Computing and Data Management (3 papers), Climate variability and models (3 papers) and Marine and coastal ecosystems (2 papers). The work is most often cited by research in Atmospheric Science (407 citations), Earth-Surface Processes (75 citations), Paleontology (70 citations), Oceanography (74 citations) and Ecology (145 citations). Deborah Khider has collaborated with scholars based in United States, Switzerland and Mexico. Frequent co-authors include Julien Emile‐Geay, Lowell Stott, Charles E. Lawrence, L. E. Lisiecki, S. Ahn, Nicholas P. McKay, Ashish Sinha, Hai Cheng, R. Lawrence Edwards and C. S. Jackson. Their work appears in journals such as Paleoceanography and Paleoclimatology, Geophysical Research Letters, Geoscientific model development, Geochemistry Geophysics Geosystems and Environmental Research Letters.

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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