Ge Peng

1.6k citations
48 papers · 1.1k · h-index 17

Impact in

    • Arctic and Antarctic ice dynamics
    • Climate change and permafrost
    • Cryospheric studies and observations
    • Oceanographic and Atmospheric Processes
    • Marine and coastal ecosystems

Papers in

Ge Peng

48 papers receiving 1.0k citations

Peers

Ge Peng
Comparison fields: 5 of 94
  • Atmospheric Science 544
  • Oceanography 343
  • Global and Planetary Change 442
  • Information Systems and Management 79
  • Ecological Modeling 33
Replace Edward J. Kearns with:
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Michael Lautenschlager Germany
Heinke Höck Germany
Roy Mendelssohn United States
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Ge Peng relative to Edward J. Kearns United States Edward J. Kearns's profile →
Citations per field
00.5×2.7×
Edward J. Kearns · 1×
Citations per year

Countries citing papers authored by Ge Peng

Since Specialization
Citations

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

Fields of papers citing papers by Ge Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ge Peng, 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 Ge Peng Line = papers co-authored together Ge Peng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994229
2 2013214
3 201960
4 201754
5 200850
6 199442
7 201841
8 201540
9 201440
10 201336
11 202328
12 202026
13 202126
14 201623
15 201822
16 201816
17 200516
18 202215
19 202013
20 201812

About Ge Peng

Ge Peng is a scholar working on Atmospheric Science, Global and Planetary Change, Information Systems, Management Science and Operations Research and Oceanography, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Arctic and Antarctic ice dynamics (14 papers), Climate variability and models (13 papers), Research Data Management Practices (12 papers), Data Quality and Management (11 papers), Climate change and permafrost (11 papers), Oceanographic and Atmospheric Processes (9 papers), Cryospheric studies and observations (9 papers) and Scientific Computing and Data Management (6 papers). The work is most often cited by research in Atmospheric Science (544 citations), Oceanography (343 citations), Global and Planetary Change (442 citations), Information Systems and Management (79 citations) and Ecological Modeling (33 citations). Ge Peng has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Walter N. Meier, D. J. Scott, M. H. Savoie, Donald B. Olson, Redwood W. Nero, Carin J. Ashjian, Arthur J. Mariano, Gary L. Hitchcock, Guillermo Podestá and Michael Steele. Their work appears in journals such as Data Science Journal, D-Lib Magazine, Remote Sensing, Journal of Atmospheric and Oceanic Technology and Annals of Glaciology.

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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