Thomas Seegmuller

139 total papers · 651 total citations
49 papers, 340 citations indexed

About

Thomas Seegmuller is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Thomas Seegmuller has authored 49 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Economics and Econometrics, 23 papers in General Economics, Econometrics and Finance and 3 papers in Finance. Recurrent topics in Thomas Seegmuller's work include Economic theories and models (36 papers), Fiscal Policy and Economic Growth (27 papers) and Monetary Policy and Economic Impact (15 papers). Thomas Seegmuller is often cited by papers focused on Economic theories and models (36 papers), Fiscal Policy and Economic Growth (27 papers) and Monetary Policy and Economic Impact (15 papers). Thomas Seegmuller collaborates with scholars based in France, Spain and Japan. Thomas Seegmuller's co-authors include Mouez Fodha, Stefano Bosi, Alain Venditti, Teresa Lloyd‐Braga, Kazuo Nishimura, Xavier Raurich, F. de Palma, Arnaud Chéron, Raouf Boucekkine and Edgar J. Sánchez Carrera and has published in prestigious journals such as Journal of Economic Theory, European Economic Review and Journal of money credit and banking.

In The Last Decade

Thomas Seegmuller

45 papers receiving 330 citations

Author Peers

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

Author						Papers	Cites
Thomas Seegmuller	301	122	42	26	17	49	340
Rosita Pretaroli	246 0.8×	38 0.3×	65 1.5×	16 0.6×	11 0.6×	43	364
Steven Keuning	230 0.8×	58 0.5×	26 0.6×	56 2.2×	12 0.7×	24	360
Gideon Fishelson	261 0.9×	85 0.7×	41 1.0×	7 0.3×	29 1.7×	44	382
Ayodele Odusola	195 0.6×	90 0.7×	49 1.2×	15 0.6×	9 0.5×	25	335
James A. Brox	285 0.9×	81 0.7×	30 0.7×	17 0.7×	2 0.1×	41	390
R.O.S Dauda	178 0.6×	30 0.2×	49 1.2×	12 0.5×	28 1.6×	34	319
Francesca Severini	219 0.7×	34 0.3×	59 1.4×	15 0.6×	3 0.2×	36	319
Reto Schleiniger	234 0.8×	21 0.2×	58 1.4×	18 0.7×	19 1.1×	30	316
George Verikios	211 0.7×	54 0.4×	38 0.9×	8 0.3×	27 1.6×	44	349
Katheline Schubert	290 1.0×	28 0.2×	124 3.0×	64 2.5×	13 0.8×	54	395

Countries citing papers authored by Thomas Seegmuller

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Seegmuller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Seegmuller

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Seegmuller. A scholar is included among the top collaborators of Thomas Seegmuller 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 Seegmuller. Thomas Seegmuller 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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