Yuko Kinoshita

2.2k total citations
54 papers, 1.5k citations indexed

About

Yuko Kinoshita is a scholar working on General Economics, Econometrics and Finance, Strategy and Management and Economics and Econometrics. According to data from OpenAlex, Yuko Kinoshita has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in General Economics, Econometrics and Finance, 23 papers in Strategy and Management and 18 papers in Economics and Econometrics. Recurrent topics in Yuko Kinoshita's work include International Business and FDI (23 papers), Global trade and economics (23 papers) and Speech Recognition and Synthesis (14 papers). Yuko Kinoshita is often cited by papers focused on International Business and FDI (23 papers), Global trade and economics (23 papers) and Speech Recognition and Synthesis (14 papers). Yuko Kinoshita collaborates with scholars based in United States, United Kingdom and Australia. Yuko Kinoshita's co-authors include Nauro F. Campos, Ashoka Mody, Shunichi Ishihara, Chia‐Hui Lu, Philip Rose, Geoffrey Stewart Morrison, Era Dabla‐Norris, Mariya Brussevich, Kalpana Kochhar and Sunil Sharma and has published in prestigious journals such as The Journal of the Acoustical Society of America, Canadian Journal of Economics/Revue canadienne d économique and Language Learning Journal.

In The Last Decade

Yuko Kinoshita

52 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuko Kinoshita United States 19 839 799 630 160 158 54 1.5k
Gerald P. Dwyer United States 20 109 0.1× 637 0.8× 1.3k 2.0× 499 3.1× 933 5.9× 81 1.9k
Sue Blackman United Kingdom 10 100 0.1× 180 0.2× 449 0.7× 62 0.4× 24 0.2× 13 732
Jason Furman United States 9 79 0.1× 387 0.5× 497 0.8× 38 0.2× 527 3.3× 36 1.1k
Ronald J. Balvers United States 15 167 0.2× 369 0.5× 881 1.4× 19 0.1× 929 5.9× 43 1.3k
Sergio Luis Náñez Alonso Spain 15 86 0.1× 49 0.1× 233 0.4× 281 1.8× 81 0.5× 40 632
Nicolas Petit Italy 13 276 0.3× 35 0.0× 227 0.4× 35 0.2× 34 0.2× 108 605
Eric S. Maskin United States 12 102 0.1× 104 0.1× 484 0.8× 24 0.1× 161 1.0× 23 800
Mikko Ranta Finland 12 229 0.3× 42 0.1× 209 0.3× 78 0.5× 102 0.6× 27 629
Khakan Najaf Malaysia 15 238 0.3× 32 0.0× 333 0.5× 113 0.7× 49 0.3× 54 671
Richard G. Anderson United States 15 21 0.0× 361 0.5× 395 0.6× 48 0.3× 244 1.5× 99 844

Countries citing papers authored by Yuko Kinoshita

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Kinoshita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuko Kinoshita

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

All Works

20 of 20 papers shown
1.
Kinoshita, Yuko, et al.. (2022). High level feature fusion in forensic voice comparison. Interspeech 2022. 1 indexed citations
2.
Fraser, Helen & Yuko Kinoshita. (2021). Injustice Arising from the Unnoticed Power of Priming: How Lawyers and Even Judges can be Misled by Unreliable Transcripts of Indistinct Forensic Audio. Minerva Access (University of Melbourne). 45(3). 4 indexed citations
3.
Brussevich, Mariya, et al.. (2019). Reducing and Redistributing Unpaid Work: Stronger Policies to Support Gender Equality. IMF Working Paper. 2019(225). 11 indexed citations
4.
Brussevich, Mariya, et al.. (2019). Reducing and Redistributing Unpaid Work. IMF Working Paper. 19(225). 7 indexed citations
5.
Kinoshita, Yuko. (2018). Educational impact of replacing on-campus courses with cross-institutional arrangements: a language programme case study. Language Learning Journal. 48(6). 738–753. 1 indexed citations
6.
Kinoshita, Yuko, et al.. (2016). Sub-band cepstral variability within and between speakers under microphone and mobile conditions: A preliminary investigation. ANU Open Research (Australian National University). 1 indexed citations
7.
Kinoshita, Yuko & Shunichi Ishihara. (2015). Background population: how does it affect LR based forensic voice comparison?. International Journal of Speech Language and the Law. 21(2). 191–224. 15 indexed citations
8.
Kinoshita, Yuko, Shunichi Ishihara, & Philip Rose. (2008). Beyond the Long-term Mean: Exploring the Potential of F0 Distribution Parameters in Traditional Forensic Speaker Recognition. ANU Open Research (Australian National University). 3. 5 indexed citations
9.
Kinoshita, Yuko, et al.. (2008). Foreign Direct Investment and Structural Reforms: Evidence From Eastern Europe and Latin America. IMF Working Paper. 8(26). 1–1. 53 indexed citations
10.
Morrison, Geoffrey Stewart, Phil Rose, & Yuko Kinoshita. (2008). Extraction of likelihood-ratio forensic evidence from the formant trajectories of diphthongs. The Journal of the Acoustical Society of America. 123(5_Supplement). 3877–3877. 1 indexed citations
11.
Ishihara, Shunichi & Yuko Kinoshita. (2008). How many do we need? exploration of the population size effect on the performance of forensic speaker classification. 1941–1944. 18 indexed citations
12.
Campos, Nauro F., Yuko Kinoshita, & Sunil Sharma. (2003). Why does FDI go where it goes. 14 indexed citations
13.
Kinoshita, Yuko. (2002). The location determinants of foreign direct investment in transition economies. 22 indexed citations
14.
Kinoshita, Yuko. (2002). Use of likelihood ratio and Bayesian approach in forensic speaker identification. University of Canberra Research Portal. 1–1. 6 indexed citations
15.
Campos, Nauro F. & Yuko Kinoshita. (2002). Foreign Direct Investment as Technology Transferred: Some Panel Evidence from the Transition Economies. SSRN Electronic Journal. 68 indexed citations
16.
Campos, Nauro F. & Yuko Kinoshita. (2001). Agglomeration and Determinants of Foreign Direct Investment in Transition Economies. SSRN Electronic Journal. 3 indexed citations
17.
Kinoshita, Yuko. (2000). R&D and Technology Spillovers via FDI: Innovation and Absorptive Capacity. RePEc: Research Papers in Economics. 40 indexed citations
18.
Kinoshita, Yuko. (1998). Technology Spillovers through Foreign Direct Investment. SSRN Electronic Journal. 33 indexed citations
19.
Mody, Ashoka & Yuko Kinoshita. (1997). The Usefulness of Private and Public Information for Foreign Investment Decisions. World Bank policy research working paper. 8 indexed citations
20.
Kinoshita, Yuko & Ashoka Mody. (1989). What Determines the Rate of Growth and Technological Change. SSRN Electronic Journal. 17 indexed citations

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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