Walter J. Mayer

34 total papers · 858 total citations
27 papers, 605 citations indexed

About

Walter J. Mayer is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Statistics and Probability. According to data from OpenAlex, Walter J. Mayer has authored 27 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Economics and Econometrics, 8 papers in General Economics, Econometrics and Finance and 6 papers in Statistics and Probability. Recurrent topics in Walter J. Mayer's work include Firm Innovation and Growth (6 papers), Monetary Policy and Economic Impact (4 papers) and Economic theories and models (4 papers). Walter J. Mayer is often cited by papers focused on Firm Innovation and Growth (6 papers), Monetary Policy and Economic Impact (4 papers) and Economic theories and models (4 papers). Walter J. Mayer collaborates with scholars based in United States, Australia and Taiwan. Walter J. Mayer's co-authors include Robert E. Dorsey, Jared F. Egginton, Mwangi S. Kimenyi, Gary Madden, Cheng Cheng, M. Mark Walker, William F. Shughart, William F. Shughart, Yang Li and Christian Nsiah and has published in prestigious journals such as Journal of Econometrics, Technological Forecasting and Social Change and Journal of Business and Economic Statistics.

In The Last Decade

Walter J. Mayer

24 papers receiving 539 citations

Author Peers

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

Author						Papers	Cites
Walter J. Mayer	303	95	88	82	80	27	605
Sergio Pastorello	278 0.9×	42 0.4×	198 2.3×	33 0.4×	35 0.4×	26	629
Teresa D. Harrison	231 0.8×	36 0.4×	70 0.8×	134 1.6×	89 1.1×	21	618
Chee Kian Leong	135 0.4×	103 1.1×	35 0.4×	64 0.8×	91 1.1×	17	519
Denis Nekipelov	269 0.9×	60 0.6×	32 0.4×	74 0.9×	29 0.4×	27	648
Teodosio Pérez‐Amaral	211 0.7×	23 0.2×	161 1.8×	143 1.7×	20 0.3×	37	665
Mark Yuying An	285 0.9×	48 0.5×	37 0.4×	53 0.6×	21 0.3×	27	596
Xiang Deng	257 0.8×	54 0.6×	71 0.8×	27 0.3×	64 0.8×	38	601
Chei‐Chang Chiou	76 0.3×	51 0.5×	34 0.4×	33 0.4×	61 0.8×	32	609
Kimberly D. Zieschang	323 1.1×	35 0.4×	139 1.6×	94 1.1×	91 1.1×	32	658
Paola Cerchiello	224 0.7×	69 0.7×	128 1.5×	60 0.7×	128 1.6×	51	612

Countries citing papers authored by Walter J. Mayer

Since Specialization

Citations

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

Fields of papers citing papers by Walter J. Mayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter J. Mayer. 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 Walter J. Mayer. The network helps show where Walter J. Mayer may publish in the future.

Co-authorship network of co-authors of Walter J. Mayer

This figure shows the co-authorship network connecting the top 25 collaborators of Walter J. Mayer. A scholar is included among the top collaborators of Walter J. Mayer 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 Walter J. Mayer. Walter J. Mayer 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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