Anders Løland

18 papers receiving 435 citations

Peers

Anders Løland
Comparison fields: 5 of 107
  • General Energy 6
  • Economics and Econometrics 70
  • Artificial Intelligence 89
  • Information Systems 59
  • Management Science and Operations Research 30
Replace Spencer Wheatley with:
Spencer Wheatley Switzerland
Martin Jullum Norway
Stefano Antonio Gattone Italy
Nur Iriawan Indonesia
Christopher Gandrud Germany
Forrest Stonedahl United States
Mohammad Nawfal Mohammad Saudi Arabia
Jiachen Huang China
Camelia Oprean-Stan Romania
Anang Kurnia Indonesia
Anders Løland relative to Spencer Wheatley Switzerland Spencer Wheatley's profile →
Citations per field
00.5×2×2.9×
Spencer Wheatley · 1×
Citations per year

Countries citing papers authored by Anders Løland

Since Specialization
Citations

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

Fields of papers citing papers by Anders Løland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2020138
2 200365
3 201049
4 202137
5 200336
6 200534
7 200733
8 202115
9 200814
10 20127
11 20116
12 20105
13 20135
14 20115
15 20234
16 20233
17 20102
18 20242
19 20171
20 20210

About Anders Løland

Anders Løland is a scholar working on Statistics and Probability, Economics and Econometrics, Finance, Artificial Intelligence and Computational Theory and Mathematics, having authored 20 papers that have together received 461 indexed citations. Recurring topics across this work include Electric Power System Optimization (3 papers), Market Dynamics and Volatility (3 papers), Statistical Methods and Inference (3 papers), Complex Systems and Time Series Analysis (2 papers), Marine and fisheries research (2 papers), Bayesian Modeling and Causal Inference (2 papers), Bioinformatics and Genomic Networks (2 papers) and Topological and Geometric Data Analysis (2 papers). The work is most often cited by research in General Energy (6 citations), Economics and Econometrics (70 citations), Artificial Intelligence (89 citations), Information Systems (59 citations) and Management Science and Operations Research (30 citations). Anders Løland has collaborated with scholars based in Norway, Netherlands and Italy. Frequent co-authors include Martin Jullum, Ragnar Bang Huseby, Egil Ferkingstad, Kjersti Aas, Mette Langaas, Marit Holden, Vigdis Nygaard, Eivind J. Hovig, Ola Myklebost and Magne Aldrin. Their work appears in journals such as Energy Economics, BMC Genomics, ICES Journal of Marine Science, Quantitative Finance and Canadian Journal of Fisheries and Aquatic Sciences.

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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