Lisa Borland

1.9k citations
26 papers · 1.2k indexed · h-index 15
Topics
Complex Systems and Time Series Analysis (18 papers)Statistical Mechanics and Entropy (13 papers)Financial Risk and Volatility Modeling (9 papers)

In The Last Decade

Lisa Borland

26 papers receiving 1.2k citations

Peers

Lisa Borland
Comparison fields: 5 of 73
  • Statistical and Nonlinear Physics 904
  • Economics and Econometrics 644
  • Finance 270
  • Modeling and Simulation 214
  • Global and Planetary Change 102
Replace Marco Patriarca with:
Marco Patriarca Estonia
V.Yu. Gonchar Ukraine
Marcin Magdziarz Poland
Yuri Kifer Israel
Diogo A. Gomes Saudi Arabia
Henryk Gzyl Venezuela
Yuzuru Sato Japan
Sabir Umarov United States
Sı́lvio M. Duarte Queirós Brazil
A.M. Scarfone Italy
Lisa Borland relative to Marco Patriarca Estonia Marco Patriarca's profile →
Citations per field
00.5×1.5×
Marco Patriarca · 1×
Citations per year

Countries citing papers authored by Lisa Borland

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Borland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Borland

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Borland. A scholar is included among the top collaborators of Lisa Borland 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 Lisa Borland. Lisa Borland 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 8
2
Closed Form Option Pricing Formulas based on a non-Gaussian Stock Price Model with Statistical Feedback
1
3 62
4 3
5 2
6 2
7 27
8 176
9 31
10 37
11 78
12 15
13 83
14 6
15 261
16 159
17 14
18 2
19 4
20 14

About Lisa Borland

Lisa Borland is a scholar working on Statistical and Nonlinear Physics, Finance and Economics and Econometrics, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (18 papers), Statistical Mechanics and Entropy (13 papers) and Financial Risk and Volatility Modeling (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (904 citations), Modeling and Simulation (214 citations) and Finance (270 citations). Lisa Borland has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include A. Plastino, Constantino Tsallis, Jean‐Philippe Bouchaud, Celia Anteneodo, E. K. Lenzi, A. Plastino, F. Pennini, Hermann Haken, Pamela G. Coxson and R.H. Huesman. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and Physics Letters A.

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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