Danielle C. Maddix

38 total papers · 890 total citations
8 papers, 254 citations indexed

About

Danielle C. Maddix is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Danielle C. Maddix has authored 8 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Mechanics, 2 papers in Statistical and Nonlinear Physics and 2 papers in Signal Processing. Recurrent topics in Danielle C. Maddix's work include Time Series Analysis and Forecasting (2 papers), Stock Market Forecasting Methods (2 papers) and Model Reduction and Neural Networks (2 papers). Danielle C. Maddix is often cited by papers focused on Time Series Analysis and Forecasting (2 papers), Stock Market Forecasting Methods (2 papers) and Model Reduction and Neural Networks (2 papers). Danielle C. Maddix collaborates with scholars based in United States, Germany and Switzerland. Danielle C. Maddix's co-authors include Jan Gasthaus, Tim Januschowski, David Salinas, Syama Sundar Rangapuram, Lorenzo Stella, Valentín Flunkert, Konstantinos Benidis, François-Xavier Aubet, Laurent Callot and Michael Schneider and has published in prestigious journals such as Nature Communications, Journal of Computational Physics and ACM Computing Surveys.

In The Last Decade

Danielle C. Maddix

7 papers receiving 241 citations

Hit Papers

Deep Learning for Time Se... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
    2022 143 citations Konstantinos Benidis, Syama Sundar Rangapuram et al. ACM Computing Surveys profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Danielle C. Maddix 92 89 66 57 25 8 254
Qianggang Ding 120 1.3× 78 0.9× 69 1.0× 57 1.0× 40 1.6× 7 232
Sifan Wu 126 1.4× 78 0.9× 67 1.0× 58 1.0× 40 1.6× 18 273
Earo Wang 108 1.2× 83 0.9× 104 1.6× 71 1.2× 49 2.0× 10 314
Thiyanga S. Talagala 130 1.4× 68 0.8× 43 0.7× 45 0.8× 29 1.2× 6 209
Renzhuo Wan 69 0.8× 52 0.6× 68 1.0× 97 1.7× 14 0.6× 11 298
François-Xavier Aubet 50 0.5× 124 1.4× 144 2.2× 55 1.0× 16 0.6× 5 302
Minbo Ma 50 0.5× 59 0.7× 106 1.6× 51 0.9× 12 0.5× 9 291
Raghavendra Kumar 83 0.9× 32 0.4× 71 1.1× 61 1.1× 28 1.1× 9 265
Pius Kwao Gadosey 69 0.8× 30 0.3× 73 1.1× 77 1.4× 24 1.0× 10 316
Razvan-Gabriel Cirstea 63 0.7× 164 1.8× 101 1.5× 35 0.6× 13 0.5× 7 290

Countries citing papers authored by Danielle C. Maddix

Since Specialization
Citations

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

Fields of papers citing papers by Danielle C. Maddix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle C. Maddix. 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 Danielle C. Maddix. The network helps show where Danielle C. Maddix may publish in the future.

Co-authorship network of co-authors of Danielle C. Maddix

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle C. Maddix. A scholar is included among the top collaborators of Danielle C. Maddix 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 Danielle C. Maddix. Danielle C. Maddix is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026