Antti Sorjamaa

1.8k total citations · 1 hit paper
19 papers, 1.2k citations indexed

About

Antti Sorjamaa is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, Antti Sorjamaa has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Signal Processing and 6 papers in Management Science and Operations Research. Recurrent topics in Antti Sorjamaa's work include Neural Networks and Applications (15 papers), Time Series Analysis and Forecasting (11 papers) and Stock Market Forecasting Methods (6 papers). Antti Sorjamaa is often cited by papers focused on Neural Networks and Applications (15 papers), Time Series Analysis and Forecasting (11 papers) and Stock Market Forecasting Methods (6 papers). Antti Sorjamaa collaborates with scholars based in Belgium, France and Egypt. Antti Sorjamaa's co-authors include Souhaib Ben Taieb, Gianluca Bontempi, Amaury Lendasse, Amir F. Atiya, Hao Jin, Nima Reyhani, Yongnan Ji, Bertrand Maillet, Yves Cornet and Éric Deleersnijder and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Computational Geosciences.

In The Last Decade

Antti Sorjamaa

19 papers receiving 1.1k 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.

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

2012 467 citations Souhaib Ben Taieb, Gianluca Bontempi et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antti Sorjamaa Belgium	8	411	389	384	222	177	19	1.2k
Kasun Bandara Australia	18	314 0.8×	472 1.2×	338 0.9×	201 0.9×	197 1.1×	38	1.6k
Souhaib Ben Taieb Belgium	13	408 1.0×	704 1.8×	547 1.4×	233 1.0×	212 1.2×	29	1.5k
Jerome T. Connor United States	10	569 1.4×	328 0.8×	244 0.6×	198 0.9×	108 0.6×	16	1.3k
J. F. Torres Spain	11	316 0.8×	445 1.1×	234 0.6×	151 0.7×	148 0.8×	22	1.1k
Alaa Sagheer Egypt	13	318 0.8×	256 0.7×	224 0.6×	202 0.9×	120 0.7×	33	1.2k
Hansika Hewamalage Australia	5	252 0.6×	310 0.8×	285 0.7×	174 0.8×	136 0.8×	6	995
Bryan Lim Australia	8	304 0.7×	207 0.5×	276 0.7×	266 1.2×	102 0.6×	11	1.1k
Muxi Chen Hong Kong	2	386 0.9×	293 0.8×	306 0.8×	390 1.8×	105 0.6×	3	1.1k
Tim Januschowski United States	15	320 0.8×	227 0.6×	477 1.2×	377 1.7×	78 0.4×	30	1.1k
Jan Gasthaus United States	16	397 1.0×	215 0.6×	428 1.1×	392 1.8×	75 0.4×	27	1.1k

Countries citing papers authored by Antti Sorjamaa

Since Specialization

Citations

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

Fields of papers citing papers by Antti Sorjamaa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antti Sorjamaa

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

All Works

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19 of 19 papers shown

Taieb, Souhaib Ben, Gianluca Bontempi, Amir F. Atiya, & Antti Sorjamaa. (2012). A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. Expert Systems with Applications. 39(8). 7067–7083. 467 indexed citations breakdown →

Taieb, Souhaib Ben, Gianluca Bontempi, Amir F. Atiya, & Antti Sorjamaa. (2011). A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. arXiv (Cornell University). 3 indexed citations

Sorjamaa, Antti. (2011). Methodologies for Time Series Prediction and Missing Value Imputation. Aaltodoc (Aalto University). 10 indexed citations

Taieb, Souhaib Ben, Gianluca Bontempi, Amir F. Atiya, & Antti Sorjamaa. (2011). Strategies for multi-step time series forecasting. 3 indexed citations

Taieb, Souhaib Ben, Antti Sorjamaa, & Gianluca Bontempi. (2010). Multiple-output modeling for multi-step-ahead time series forecasting. Neurocomputing. 73(10-12). 1950–1957. 188 indexed citations

Sorjamaa, Antti, et al.. (2010). X-SOM and L-SOM: A double classification approach for missing value imputation. Neurocomputing. 73(7-9). 1103–1108. 37 indexed citations

Sorjamaa, Antti, et al.. (2009). X-SOM and L-SOM: a Nested Approach for Missing Value Imputation. The European Symposium on Artificial Neural Networks. 3 indexed citations

Sorjamaa, Antti, et al.. (2009). A Non-Linear Approach for Completing Missing Values in Temporal Databases. RePEc: Research Papers in Economics. 22(1). 99–117. 3 indexed citations

Taieb, Souhaib Ben, Antti Sorjamaa, Amaury Lendasse, & Gianluca Bontempi. (2009). Multiple-Output Modelling for Multi-Step-Ahead Forecasting. 4 indexed citations

10.

Taieb, Souhaib Ben, Gianluca Bontempi, Antti Sorjamaa, & Amaury Lendasse. (2009). Long-term prediction of time series by combining direct and MIMO strategies. ORBi UMONS. 3054–3061. 58 indexed citations

11.

Sorjamaa, Antti, Amaury Lendasse, Yves Cornet, & Éric Deleersnijder. (2009). An improved methodology for filling missing values in spatiotemporal climate data set. Computational Geosciences. 14(1). 55–64. 15 indexed citations

12.

Sorjamaa, Antti & Yoan Miché. (2008). Tabu Search with Delta Test for Time Series Prediction using OP-KNN. 3 indexed citations

13.

Yu, Qi, Antti Sorjamaa, Yoan Miché, & Éric Séverin. (2008). A methodology for time series prediction in Finance. 285–293. 2 indexed citations

14.

Sorjamaa, Antti, et al.. (2007). SOM+EOF for finding missing values.. The European Symposium on Artificial Neural Networks. 115–120. 7 indexed citations

15.

Sorjamaa, Antti & Amaury Lendasse. (2007). Time Series Prediction as a Problem of Missing Values: Application to ESTSP2007 and NN3 Competition Benchmarks. IEEE International Conference on Neural Networks. 2948–2953. 5 indexed citations

16.

Sorjamaa, Antti & Amaury Lendasse. (2007). Time Series Prediction as a Problem of Missing Values. 165–174. 1 indexed citations

17.

Sorjamaa, Antti, Hao Jin, Nima Reyhani, Yongnan Ji, & Amaury Lendasse. (2007). Methodology for long-term prediction of time series. Neurocomputing. 70(16-18). 2861–2869. 320 indexed citations

18.

Sorjamaa, Antti & Amaury Lendasse. (2006). Time Series Prediction using DirRec Strategy. The European Symposium on Artificial Neural Networks. 143–148. 52 indexed citations

19.

Sorjamaa, Antti, Amaury Lendasse, & Michel Verleysen. (2005). Pruned Lazy Learning Models for Time Series Prediction. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 509–514. 5 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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