I‐Chieh Hsu

29 total papers · 1.7k total citations
20 papers, 1.3k citations indexed

About

I‐Chieh Hsu is a scholar working on Strategy and Management, Organizational Behavior and Human Resource Management and Communication. According to data from OpenAlex, I‐Chieh Hsu has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Strategy and Management, 10 papers in Organizational Behavior and Human Resource Management and 7 papers in Communication. Recurrent topics in I‐Chieh Hsu's work include Innovation and Knowledge Management (9 papers), Job Satisfaction and Organizational Behavior (7 papers) and Intellectual Capital and Performance Analysis (6 papers). I‐Chieh Hsu is often cited by papers focused on Innovation and Knowledge Management (9 papers), Job Satisfaction and Organizational Behavior (7 papers) and Intellectual Capital and Performance Analysis (6 papers). I‐Chieh Hsu collaborates with scholars based in Taiwan, United States and China. I‐Chieh Hsu's co-authors include Rajiv Sabherwal, Ying‐Hueih Chen, Chia‐Chen Lin, John Lawler, Yu‐Chen Wei, Tzu‐Shian Han, Carol Yeh‐Yun Lin, Fu-Sheng Tsai, Yi‐Shun Wang and Fred O. Walumbwa and has published in prestigious journals such as Journal of Business Research, Expert Systems with Applications and Technological Forecasting and Social Change.

In The Last Decade

I‐Chieh Hsu

20 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
I‐Chieh Hsu 518 357 341 291 245 20 1.3k
Narda R. Quigley 451 0.9× 641 1.8× 463 1.4× 430 1.5× 197 0.8× 32 1.7k
Zeeshan Ahmed Bhatti 266 0.5× 350 1.0× 318 0.9× 429 1.5× 284 1.2× 33 1.4k
Angel L. Meroño‐Cerdán 586 1.1× 233 0.7× 262 0.8× 152 0.5× 265 1.1× 30 1.2k
Mika Vanhala 839 1.6× 461 1.3× 471 1.4× 256 0.9× 144 0.6× 43 1.8k
Aurora Garrido‐Moreno 332 0.6× 355 1.0× 158 0.5× 534 1.8× 490 2.0× 24 1.8k
Da-Chian Hu 530 1.0× 444 1.2× 151 0.4× 252 0.9× 114 0.5× 35 1.3k
Cynthia P. Ruppel 261 0.5× 344 1.0× 232 0.7× 334 1.1× 207 0.8× 34 1.2k
Jen‐Te Yang 441 0.9× 862 2.4× 627 1.8× 403 1.4× 205 0.8× 21 1.8k
Liz Lee‐Kelley 347 0.7× 307 0.9× 260 0.8× 250 0.9× 247 1.0× 35 1.3k
Muhammad Asrar‐ul‐Haq 500 1.0× 404 1.1× 166 0.5× 144 0.5× 80 0.3× 30 1.2k

Countries citing papers authored by I‐Chieh Hsu

Since Specialization
Citations

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

Fields of papers citing papers by I‐Chieh Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Chieh Hsu. 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 I‐Chieh Hsu. The network helps show where I‐Chieh Hsu may publish in the future.

Co-authorship network of co-authors of I‐Chieh Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of I‐Chieh Hsu. A scholar is included among the top collaborators of I‐Chieh Hsu 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 I‐Chieh Hsu. I‐Chieh Hsu 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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