JT Hamrick

988 citations
8 papers · 641 · 1 hit paper · h-index 5

Impact in

    • Blockchain Technology Applications and Security
    • Cybercrime and Law Enforcement Studies
  • Finance top 5%
    • Financial Markets and Investment Strategies

Papers in

JT Hamrick

8 papers receiving 613 citations

JT Hamrick's Hit Papers

Price manipulation in the Bitcoin ecosystem 2018 · 492 citations
4920+2+5Years since publication100200300400

Peers

JT Hamrick
Comparison fields: 5 of 44
  • Information Systems 524
  • Finance 190
  • Economics and Econometrics 367
  • Management Information Systems 96
  • Management Science and Operations Research 69
Replace Amin Shams with:
Amin Shams United States
Martin Haferkorn Germany
Kai Zimmermann Germany
Niranjan Sapkota Finland
Alexander Brauneis Austria
Jonathan R. Karlsen Australia
Anna Piotrowska Poland
Lars Ivar Hagfors Norway
Soumya Basu United States
Gina Pieters United States
JT Hamrick relative to Amin Shams United States Amin Shams's profile →
Citations per field
00.5×2.9×
Amin Shams · 1×
Citations per year

Countries citing papers authored by JT Hamrick

Since Specialization
Citations

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

Fields of papers citing papers by JT Hamrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside JT Hamrick, 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 JT Hamrick Line = papers co-authored together JT Hamrick links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Price manipulation in the Bitcoin ecosystem
Hit paper breakdown →
2018492
2 201767
3 202138
4 202122
5 201814
6
The rise and fall of cryptocurrencies
20184
7
Price Manipulation in the Bitcoin Ecosystem
20173
8 20211

About JT Hamrick

JT Hamrick is a scholar working on Information Systems, Sociology and Political Science, Economics and Econometrics, Management Information Systems and Strategy and Management, having authored 8 papers that have together received 641 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (8 papers), Cybercrime and Law Enforcement Studies (3 papers), Crime, Illicit Activities, and Governance (3 papers), FinTech, Crowdfunding, Digital Finance (2 papers), Market Dynamics and Volatility (2 papers), Spam and Phishing Detection (1 paper), Complex Systems and Time Series Analysis (1 paper) and Art History and Market Analysis (1 paper). The work is most often cited by research in Information Systems (524 citations), Finance (190 citations), Economics and Econometrics (367 citations), Management Information Systems (96 citations) and Management Science and Operations Research (69 citations). JT Hamrick has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Tyler Moore, Neil Gandal, Amir Feder, Marie Vasek and Arghya Mukherjee. Their work appears in journals such as Decisions in Economics and Finance, Information Processing & Management, Journal of Monetary Economics, SSRN Electronic Journal and RePEc: Research Papers in 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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