Phillip Li

566 citations
18 papers · 385 · h-index 8

Impact in

Papers in

    • Credit Risk and Financial Regulations 5
    • Housing, Finance, and Neoliberalism 2
    • Financial Markets and Investment Strategies 2
    • Economic and Environmental Valuation 2
    • Housing Market and Economics 2

Phillip Li

16 papers receiving 343 citations

Peers

Phillip Li
Comparison fields: 5 of 87
  • Statistics, Probability and Uncertainty 76
  • Otorhinolaryngology 32
  • General Decision Sciences 14
  • Information Systems and Management 39
  • Immunology and Allergy 29
Replace Pushpesh Pant with:
Pushpesh Pant India
Muhammad Ijaz Pakistan
Albert Yoon Canada
Sanjiv Jaggia United States
Ahmed Bani‐Mustafa Kuwait
Jörgen Hellström Sweden
Turalay Kenç United Kingdom
John S. Jordan United States
C. Kurt Zorn United States
James E. Hartley United States
Phillip Li relative to Pushpesh Pant India Pushpesh Pant's profile →
Citations per field
00.5×10.9×
Pushpesh Pant · 1×
Citations per year

Countries citing papers authored by Phillip Li

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Phillip Li, 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 Phillip Li Line = papers co-authored together Phillip Li links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201597
2 201577
3 198564
4 201754
5 202034
6 201821
7 201611
8 20177
9 20175
10 20115
11 20193
12 20192
13 20102
14
Further Investigation of Parametric Loss Given Default Modeling
20161
15 20151
16 20171
17 20170
18 20200

About Phillip Li

Phillip Li is a scholar working on Finance, Economics and Econometrics, Artificial Intelligence, Statistics and Probability and General Economics, Econometrics and Finance, having authored 18 papers that have together received 385 indexed citations. Recurring topics across this work include Credit Risk and Financial Regulations (5 papers), Statistical Methods and Inference (3 papers), Monetary Policy and Economic Impact (3 papers), Housing, Finance, and Neoliberalism (2 papers), Economic and Environmental Valuation (2 papers), Financial Markets and Investment Strategies (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Housing Market and Economics (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (76 citations), Otorhinolaryngology (32 citations), General Decision Sciences (14 citations), Information Systems and Management (39 citations) and Immunology and Allergy (29 citations). Phillip Li has collaborated with scholars based in United States and Hungary. Frequent co-authors include Andrew C. Chang, Joel M. Bernstein, Josephine Lee, David Brownstone, Xinlei Zhao, Xiao-Fei Zhang, Min Qi, Tom Mayock and Xiaofei Zhang. Their work appears in journals such as Otolaryngology, American Economic Review, Journal of Applied Econometrics, Computational Statistics & Data Analysis and Journal of Choice Modelling.

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