Cristian Challú

718 total citations · 1 hit paper
6 papers, 369 citations indexed

About

Cristian Challú is a scholar working on Geophysics, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Cristian Challú has authored 6 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Geophysics, 2 papers in Management Science and Operations Research and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Cristian Challú's work include Seismic Waves and Analysis (2 papers), Energy Load and Power Forecasting (2 papers) and Stock Market Forecasting Methods (2 papers). Cristian Challú is often cited by papers focused on Seismic Waves and Analysis (2 papers), Energy Load and Power Forecasting (2 papers) and Stock Market Forecasting Methods (2 papers). Cristian Challú collaborates with scholars based in United States, Poland and Mexico. Cristian Challú's co-authors include Kin G. Olivares, Artur Dubrawski, Boris N. Oreshkin, Rafał Weron, Grzegorz Marcjasz, Alberto Simpser and Enrique Seira and has published in prestigious journals such as American Political Science Review, Bulletin of the Seismological Society of America and International Journal of Forecasting.

In The Last Decade

Cristian Challú

6 papers receiving 354 citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NHITS: Neural Hierarchical Interpolation for Time Series Forecasting

2023 239 citations Cristian Challú, Kin G. Olivares et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cristian Challú United States	3	157	126	115	107	44	6	369
Kin G. Olivares United States	3	160 1.0×	128 1.0×	118 1.0×	102 1.0×	46 1.0×	3	365
Hao Jin China	7	118 0.8×	119 0.9×	126 1.1×	172 1.6×	37 0.8×	33	494
Konstantinos Benidis Hong Kong	8	188 1.2×	90 0.7×	143 1.2×	119 1.1×	37 0.8×	12	448
Zahra Hajirahimi Iran	8	243 1.5×	208 1.7×	60 0.5×	112 1.0×	57 1.3×	16	445
Gholam Ali Raissi Ardali Iran	7	207 1.3×	133 1.1×	33 0.3×	99 0.9×	52 1.2×	9	362
Salahadin Mohammed Saudi Arabia	7	170 1.1×	99 0.8×	79 0.7×	91 0.9×	45 1.0×	27	344
S. M. Aqil Burney Pakistan	10	220 1.4×	53 0.4×	107 0.9×	145 1.4×	112 2.5×	46	425
Danielle C. Maddix United States	6	93 0.6×	58 0.5×	89 0.8×	67 0.6×	26 0.6×	8	265
Nima Reyhani Finland	6	114 0.7×	110 0.9×	70 0.6×	158 1.5×	17 0.4×	19	388
Ratnadip Adhikari India	11	333 2.1×	273 2.2×	68 0.6×	161 1.5×	79 1.8×	14	592

Countries citing papers authored by Cristian Challú

Since Specialization

Citations

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

Fields of papers citing papers by Cristian Challú

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristian Challú

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

All Works

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6 of 6 papers shown

1.

Challú, Cristian, et al.. (2023). NHITS: Neural Hierarchical Interpolation for Time Series Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 6989–6997. 239 indexed citations breakdown →

2.

Challú, Cristian, et al.. (2022). Explosion Discrimination Using Seismic Gradiometry and Spectrally Filtered Principal Components: Controlled Field Experiments. Bulletin of the Seismological Society of America. 112(6). 3141–3150. 1 indexed citations

3.

Olivares, Kin G., Cristian Challú, Grzegorz Marcjasz, Rafał Weron, & Artur Dubrawski. (2022). Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. International Journal of Forecasting. 39(2). 884–900. 119 indexed citations

4.

Challú, Cristian, et al.. (2021). Explosion Discrimination Using Seismic Gradiometry and Spectral Filtering of Data. Bulletin of the Seismological Society of America. 111(3). 1365–1377. 2 indexed citations

5.

Challú, Cristian, Enrique Seira, & Alberto Simpser. (2020). The Quality of Vote Tallies: Causes and Consequences. American Political Science Review. 114(4). 1071–1085. 7 indexed citations

6.

Challú, Cristian, Enrique Seira, & Alberto Simpser. (2019). The Quality of Vote Tallies: Causes and Consequences. SSRN Electronic Journal. 1 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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