Fernando M. Martin

99 total papers · 733 total citations
42 papers, 305 citations indexed

About

Fernando M. Martin is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Accounting. According to data from OpenAlex, Fernando M. Martin has authored 42 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Economics and Econometrics, 17 papers in General Economics, Econometrics and Finance and 9 papers in Accounting. Recurrent topics in Fernando M. Martin's work include Economic theories and models (16 papers), Economic Theory and Policy (13 papers) and Financial Literacy, Pension, Retirement Analysis (9 papers). Fernando M. Martin is often cited by papers focused on Economic theories and models (16 papers), Economic Theory and Policy (13 papers) and Financial Literacy, Pension, Retirement Analysis (9 papers). Fernando M. Martin collaborates with scholars based in United States, Canada and Switzerland. Fernando M. Martin's co-authors include David Andolfatto, Aleksander Berentsen, Michèle Ruta, Simon J. Evenett, Alexander Karaivanov, Shengxing Zhang, Christopher J. Waller, Juan M. Sánchez, Hess Chung and Callum Jones and has published in prestigious journals such as The Review of Economic Studies, Journal of Monetary Economics and European Economic Review.

In The Last Decade

Fernando M. Martin

33 papers receiving 281 citations

Author Peers

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

Author						Papers	Cites
Fernando M. Martin	236	158	88	35	22	42	305
Robert A. Buckle	228 1.0×	170 1.1×	68 0.8×	20 0.6×	14 0.6×	37	338
Stephen K. Pollard	269 1.1×	160 1.0×	119 1.4×	32 0.9×	16 0.7×	36	338
Mark Crosby	252 1.1×	123 0.8×	84 1.0×	31 0.9×	26 1.2×	36	332
Daniel Garcia-Macia	198 0.8×	94 0.6×	73 0.8×	32 0.9×	28 1.3×	29	289
Douglas D. Purvis	217 0.9×	216 1.4×	76 0.9×	31 0.9×	15 0.7×	35	333
Oreste Napolitano	262 1.1×	166 1.1×	110 1.3×	33 0.9×	24 1.1×	45	345
Norbert Metiu	237 1.0×	160 1.0×	151 1.7×	20 0.6×	53 2.4×	22	335
Christian Bauer	250 1.1×	135 0.9×	193 2.2×	51 1.5×	25 1.1×	47	358
Jean-Pierre Allégret	219 0.9×	197 1.2×	192 2.2×	22 0.6×	13 0.6×	46	332
Andrew Swiston	204 0.9×	215 1.4×	152 1.7×	21 0.6×	19 0.9×	37	325

Countries citing papers authored by Fernando M. Martin

Since Specialization

Citations

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

Fields of papers citing papers by Fernando M. Martin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando M. Martin. 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 Fernando M. Martin. The network helps show where Fernando M. Martin may publish in the future.

Co-authorship network of co-authors of Fernando M. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando M. Martin. A scholar is included among the top collaborators of Fernando M. Martin 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 Fernando M. Martin. Fernando M. Martin 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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