Thomas D. Tallarini

11 total papers · 1.3k total citations
6 papers, 819 citations indexed

About

Thomas D. Tallarini is a scholar working on Finance, General Economics, Econometrics and Finance and Economics and Econometrics. According to data from OpenAlex, Thomas D. Tallarini has authored 6 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Finance, 5 papers in General Economics, Econometrics and Finance and 5 papers in Economics and Econometrics. Recurrent topics in Thomas D. Tallarini's work include Financial Markets and Investment Strategies (5 papers), Monetary Policy and Economic Impact (4 papers) and Economic theories and models (3 papers). Thomas D. Tallarini is often cited by papers focused on Financial Markets and Investment Strategies (5 papers), Monetary Policy and Economic Impact (4 papers) and Economic theories and models (3 papers). Thomas D. Tallarini collaborates with scholars based in United States. Thomas D. Tallarini's co-authors include Lars Peter Hansen, Thomas J. Sargent and Harold H. Zhang and has published in prestigious journals such as The Review of Economic Studies, Journal of Monetary Economics and The Journal of Business.

In The Last Decade

Thomas D. Tallarini

6 papers receiving 750 citations

Hit Papers

Robust Permanent Income a... 1999 2026 2008 2017 1999 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Thomas D. Tallarini 649 459 455 88 88 6 819
Pok‐sang Lam 598 0.9× 340 0.7× 532 1.2× 151 1.7× 26 0.3× 14 784
Yeung L. Chan 559 0.9× 285 0.6× 612 1.3× 203 2.3× 23 0.3× 6 829
Margaret Bray 670 1.0× 309 0.7× 275 0.6× 71 0.8× 36 0.4× 8 917
David Bowman 470 0.7× 324 0.7× 348 0.8× 104 1.2× 77 0.9× 29 701
Francisco Barillas 525 0.8× 207 0.5× 646 1.4× 208 2.4× 27 0.3× 14 845
Lawrence J. Jin 679 1.0× 154 0.3× 812 1.8× 265 3.0× 150 1.7× 18 1.1k
Wayne Shafer 883 1.4× 317 0.7× 155 0.3× 34 0.4× 119 1.4× 20 955
Marek Rusnák 541 0.8× 351 0.8× 319 0.7× 145 1.6× 21 0.2× 27 773
Lars A. Lochstoer 750 1.2× 390 0.8× 713 1.6× 188 2.1× 20 0.2× 30 983
Wai Mun Fong 724 1.1× 261 0.6× 702 1.5× 156 1.8× 42 0.5× 40 962

Countries citing papers authored by Thomas D. Tallarini

Since Specialization
Citations

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

Fields of papers citing papers by Thomas D. Tallarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas D. Tallarini. 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 Thomas D. Tallarini. The network helps show where Thomas D. Tallarini may publish in the future.

Co-authorship network of co-authors of Thomas D. Tallarini

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

All Works

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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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