La Duo

777 citations
15 papers · 616 · h-index 8

Impact in

Papers in

    • Geology and Paleoclimatology Research 7
    • Tree-ring climate responses 2
    • Natural Language Processing Techniques 4
    • Topic Modeling 4
    • Speech Recognition and Synthesis 3
    • Text and Document Classification Technologies 2

La Duo

12 papers receiving 590 citations

Peers

La Duo
Comparison fields: 5 of 60
  • Atmospheric Science 381
  • Nature and Landscape Conservation 163
  • Paleontology 79
  • Earth-Surface Processes 66
  • Anthropology 91
Replace Julie C. Aleman with:
Julie C. Aleman Canada
Andrea Brunelle United States
Bérangère Leys France
Richard Oslisly France
Alayn C. Larouche Canada
H. Veit Switzerland
Brigitte Talon France
Basil A.S. Davis Switzerland
Charles E. Umbanhowar United States
Michael Wehrli Switzerland
La Duo relative to Julie C. Aleman Canada Julie C. Aleman's profile →
Citations per field
00.5×1.6×
Julie C. Aleman · 1×
Citations per year

Countries citing papers authored by La Duo

Since Specialization
Citations

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

Fields of papers citing papers by La Duo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2009196
2 2007138
3 200772
4 200661
5 201158
6 201334
7 201829
8 202119
9 20223
10 20243
11 20252
12 20221
13 20250
14 20240
15 20220

About La Duo

La Duo is a scholar working on Atmospheric Science, Artificial Intelligence, Anthropology, Nature and Landscape Conservation and Ecology, having authored 15 papers that have together received 616 indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (7 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers), Speech Recognition and Synthesis (3 papers), Pleistocene-Era Hominins and Archaeology (3 papers), Pacific and Southeast Asian Studies (2 papers), Tree-ring climate responses (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Atmospheric Science (381 citations), Nature and Landscape Conservation (163 citations), Paleontology (79 citations), Earth-Surface Processes (66 citations) and Anthropology (91 citations). La Duo has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Georg Miehe, Sabine Miehe, Frank Schlütz, Knut Kaiser, Christoph Reudenbach, Jianquan Liu, Lars Opgenoorth, Yongping Yang, Jürgen Kluge and Jacqueline F. N. van Leeuwen. Their work appears in journals such as Palaeogeography Palaeoclimatology Palaeoecology, Applied Vegetation Science, Mountain Research and Development, Complex & Intelligent Systems and Journal of Evidence-Based Medicine.

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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