Linda Schilling

50 total papers · 1.2k total citations
24 papers, 563 citations indexed

About

Linda Schilling is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Linda Schilling has authored 24 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Economics and Econometrics, 13 papers in General Economics, Econometrics and Finance and 11 papers in Finance. Recurrent topics in Linda Schilling's work include Economic theories and models (13 papers), Economic Theory and Policy (12 papers) and Banking stability, regulation, efficiency (11 papers). Linda Schilling is often cited by papers focused on Economic theories and models (13 papers), Economic Theory and Policy (12 papers) and Banking stability, regulation, efficiency (11 papers). Linda Schilling collaborates with scholars based in United States, France and Switzerland. Linda Schilling's co-authors include Harald Uhlig, Jesús Fernández‐Villaverde, Daniel R. Sanches, Pierpaolo Benigno, Karin Schwiter, Christian Berndt and Rodney Garratt and has published in prestigious journals such as The Journal of Finance, Journal of Monetary Economics and Journal of International Economics.

In The Last Decade

Linda Schilling

22 papers receiving 533 citations

Hit Papers

Some simple bitcoin econo... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Linda Schilling 367 294 225 132 80 24 563
Nicola Borri 453 1.2× 286 1.0× 382 1.7× 49 0.4× 25 0.3× 36 658
Maarten R.C. van Oordt 295 0.8× 137 0.5× 279 1.2× 55 0.4× 68 0.8× 33 496
Tanai Khiaonarong 188 0.5× 205 0.7× 125 0.6× 76 0.6× 128 1.6× 30 497
Maurice Peat 416 1.1× 262 0.9× 305 1.4× 49 0.4× 96 1.2× 35 666
Giulio Cornelli 269 0.7× 233 0.8× 159 0.7× 60 0.5× 84 1.1× 19 544
Thai Vu Hong Nguyen 383 1.0× 177 0.6× 200 0.9× 64 0.5× 49 0.6× 26 560
Agata Kliber 347 0.9× 222 0.8× 191 0.8× 51 0.4× 13 0.2× 49 496
Daniel R. Sanches 369 1.0× 160 0.5× 245 1.1× 252 1.9× 64 0.8× 22 524
Amin Shams 333 0.9× 324 1.1× 237 1.1× 29 0.2× 23 0.3× 8 513
Hanxiong Zhang 466 1.3× 338 1.1× 179 0.8× 23 0.2× 47 0.6× 24 655

Countries citing papers authored by Linda Schilling

Since Specialization
Citations

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

Fields of papers citing papers by Linda Schilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Schilling

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026