Ted Tschang

31 total papers · 804 total citations
17 papers, 469 citations indexed

About

Ted Tschang is a scholar working on Strategy and Management, Economics and Econometrics and Political Science and International Relations. According to data from OpenAlex, Ted Tschang has authored 17 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Strategy and Management, 7 papers in Economics and Econometrics and 3 papers in Political Science and International Relations. Recurrent topics in Ted Tschang's work include Economic Growth and Productivity (4 papers), Indian Economic and Social Development (3 papers) and International Business and FDI (3 papers). Ted Tschang is often cited by papers focused on Economic Growth and Productivity (4 papers), Indian Economic and Social Development (3 papers) and International Business and FDI (3 papers). Ted Tschang collaborates with scholars based in Singapore, Japan and United States. Ted Tschang's co-authors include M. G. Quibria, Alice H. Amsden, Dan Lovallo, Nidthida Lin, Massimo Garbuio, Andy Dong, Akira Gotō, Akira Gotō, Andrea Goldstein and Francisco Veloso and has published in prestigious journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Academy of Management Learning and Education and Journal of International Development.

In The Last Decade

Ted Tschang

16 papers receiving 395 citations

Author Peers

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

Author Last Decade Papers Cites
Ted Tschang 188 144 116 90 82 17 469
Rocío Marco Crespo 193 1.0× 143 1.0× 140 1.2× 83 0.9× 47 0.6× 21 461
Antonio Fernández Portillo 58 0.3× 107 0.7× 225 1.9× 34 0.4× 62 0.8× 30 515
Christopher Podmore 154 0.8× 150 1.0× 116 1.0× 47 0.5× 35 0.4× 18 406
Roberto Gallardo 337 1.8× 88 0.6× 217 1.9× 87 1.0× 38 0.5× 18 509
Mahima Mishra 41 0.2× 76 0.5× 62 0.5× 78 0.9× 49 0.6× 24 470
Chris Westrup 97 0.5× 64 0.4× 34 0.3× 124 1.4× 76 0.9× 28 530
Amit Das 76 0.4× 102 0.7× 109 0.9× 153 1.7× 65 0.8× 19 469
Manuel Almodóvar González 57 0.3× 68 0.5× 219 1.9× 35 0.4× 68 0.8× 17 415
Clifford T Bekar 54 0.3× 120 0.8× 291 2.5× 44 0.5× 33 0.4× 8 479
Sangjo Oh 118 0.6× 185 1.3× 49 0.4× 48 0.5× 46 0.6× 23 531

Countries citing papers authored by Ted Tschang

Since Specialization
Citations

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

Fields of papers citing papers by Ted Tschang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ted Tschang

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