Linda Schilling

1.3k citations
24 papers · 568 indexed · 1 hit paper · h-index 10

Linda Schilling

22 papers receiving 540 citations

Hit Papers

Some simple bitcoin economics2019202620212023201950100150200

Peers

Linda Schilling
Comparison fields: 5 of 45
  • Economics and Econometrics 370
  • Information Systems 296
  • Finance 226
  • General Economics, Econometrics and Finance 133
  • Strategy and Management 80
Replace Daniel R. Sanches with:
Daniel R. Sanches United States
John Barrdear United Kingdom
Maarten R.C. van Oordt Netherlands
Thorsten V. Koeppl Canada
Tommaso Mancini Griffoli United States
Maurice Peat Australia
Nicola Borri Italy
Agata Kliber Poland
Amin Shams United States
Giulio Cornelli Switzerland
Linda Schilling relative to Daniel R. Sanches United States Daniel R. Sanches's profile →
Citations per field
00.5×1.5×2.1×
Daniel R. Sanches · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 7
2 17
3 6
4 35
5 1
6 1
7 12
8 22
9 12
10 151
11
Some simple bitcoin economicsbreakdown →
228
12 23
13 16
14 2
15 3
16 0
17 3
18
The Impact of Recovery Value on Coordination in Securitized Banking
0
19 3
20 10

About Linda Schilling

Linda Schilling is a scholar working on General Economics, Econometrics and Finance, Finance and Economics and Econometrics, having authored 24 papers that have together received 568 indexed citations. Recurring topics across this work include Economic theories and models (13 papers), Economic Theory and Policy (12 papers) and Banking stability, regulation, efficiency (11 papers). The work is most often cited by research in Finance (226 citations), General Economics, Econometrics and Finance (133 citations) and Economics and Econometrics (370 citations). Linda Schilling has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Harald Uhlig, Jesús Fernández‐Villaverde, Daniel R. Sanches, Pierpaolo Benigno, Christian Berndt, Karin Schwiter and Rodney Garratt. Their work appears in journals such as The Journal of Finance, Journal of Monetary Economics and Journal of International Economics.

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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