Aya S. Chacar

1.2k total citations
24 papers, 853 citations indexed

About

Aya S. Chacar is a scholar working on Strategy and Management, Accounting and Economics and Econometrics. According to data from OpenAlex, Aya S. Chacar has authored 24 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Strategy and Management, 8 papers in Accounting and 7 papers in Economics and Econometrics. Recurrent topics in Aya S. Chacar's work include International Business and FDI (9 papers), Corporate Finance and Governance (7 papers) and Innovation and Knowledge Management (7 papers). Aya S. Chacar is often cited by papers focused on International Business and FDI (9 papers), Corporate Finance and Governance (7 papers) and Innovation and Knowledge Management (7 papers). Aya S. Chacar collaborates with scholars based in United States, Singapore and Hong Kong. Aya S. Chacar's co-authors include Balagopal Vissa, Stephen Tallman, William Newburry, William S. Hesterly, Marjorie A. Lyles, Luis Alfonso Dau, Jiatao Li, Margarethe F. Wiersema, David M. McCourt and Dan Prud’homme and has published in prestigious journals such as Strategic Management Journal, Journal of International Business Studies and Journal of Management Studies.

In The Last Decade

Aya S. Chacar

22 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aya S. Chacar United States 11 508 362 219 187 180 24 853
Anna Lamin United States 11 537 1.1× 255 0.7× 128 0.6× 161 0.9× 196 1.1× 13 811
Wenlong Yuan Canada 16 687 1.4× 237 0.7× 180 0.8× 161 0.9× 258 1.4× 32 949
Rüediger Kabst Germany 14 781 1.5× 318 0.9× 236 1.1× 170 0.9× 314 1.7× 30 998
Yuri Mishina United States 6 587 1.2× 392 1.1× 177 0.8× 188 1.0× 206 1.1× 12 986
Zhujun Ding Hong Kong 8 408 0.8× 317 0.9× 264 1.2× 125 0.7× 195 1.1× 13 751
Heinz Tüselmann United Kingdom 15 467 0.9× 154 0.4× 164 0.7× 178 1.0× 197 1.1× 45 833
Tamar Almor Israel 15 535 1.1× 241 0.7× 362 1.7× 159 0.9× 292 1.6× 29 907
Esther Tippmann Ireland 16 686 1.4× 173 0.5× 239 1.1× 154 0.8× 180 1.0× 29 905
Timothy L. Pett United States 15 497 1.0× 206 0.6× 282 1.3× 192 1.0× 264 1.5× 36 874
Manuela Presutti Italy 13 393 0.8× 134 0.4× 293 1.3× 145 0.8× 144 0.8× 28 670

Countries citing papers authored by Aya S. Chacar

Since Specialization
Citations

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

Fields of papers citing papers by Aya S. Chacar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aya S. Chacar. 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 Aya S. Chacar. The network helps show where Aya S. Chacar may publish in the future.

Co-authorship network of co-authors of Aya S. Chacar

This figure shows the co-authorship network connecting the top 25 collaborators of Aya S. Chacar. A scholar is included among the top collaborators of Aya S. Chacar 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 Aya S. Chacar. Aya S. Chacar 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.
Prud’homme, Dan, et al.. (2025). Divorce or temporary separation? Lessons from the US’s history of decoupling with China and other nations. Journal of World Business. 60(5). 101648–101648. 2 indexed citations
2.
Dau, Luis Alfonso, Aya S. Chacar, Marjorie A. Lyles, & Jiatao Li. (2022). Informal institutions and international business: Toward an integrative research agenda. Journal of International Business Studies. 53(6). 985–1010. 41 indexed citations
3.
Chacar, Aya S., et al.. (2020). CFO Turnover Drivers and Consequences Research: Time to Move Beyond Wrongdoing?. Academy of Management Proceedings. 2020(1). 21548–21548. 1 indexed citations
4.
Chacar, Aya S., et al.. (2019). The Rise of the CFO from Humble Origins to a CEO Partner and Foe. Academy of Management Proceedings. 2019(1). 19659–19659.
5.
Chacar, Aya S., et al.. (2018). Global strategic context and CEO appointments: The importance of a global mind‐set. Global Strategy Journal. 10(4). 676–699. 16 indexed citations
7.
Fainshmidt, Stav, et al.. (2016). Performance Persistence: A Literature Review and Insights for Sustained Competitive Advantage. Academy of Management Proceedings. 2016(1). 12298–12298. 1 indexed citations
8.
Chacar, Aya S., et al.. (2015). International coherence and MNE performance. Journal of International Business Studies. 46(5). 620–628. 10 indexed citations
9.
Chacar, Aya S., et al.. (2012). Network coordination and performance among MNEs in Latin America. Global Strategy Journal. 2(1). 3–25. 11 indexed citations
10.
Tallman, Stephen & Aya S. Chacar. (2011). Communities, alliances, networks and knowledge in multinational firms: A micro-analytic framework. Journal of International Management. 17(3). 201–210. 55 indexed citations
11.
Chacar, Aya S., et al.. (2010). The Performance of Multinational Affiliates versus Domestic Firms. Journal of Management Policy and Practice. 11(4). 47–59. 7 indexed citations
12.
Chacar, Aya S., William Newburry, & Balagopal Vissa. (2010). Bringing institutions into performance persistence research: Exploring the impact of product, financial, and labor market institutions. Journal of International Business Studies. 41(7). 1119–1140. 131 indexed citations
13.
Tallman, Stephen & Aya S. Chacar. (2010). Knowledge Accumulation and Dissemination in MNEs: A Practice‐Based Framework. Journal of Management Studies. 48(2). 278–304. 112 indexed citations
14.
Vissa, Balagopal & Aya S. Chacar. (2009). Leveraging Ties: The Contingent Value of Entrepreneurial Teams' External Advice Networks on Indian Software Venture Performance. SSRN Electronic Journal. 5 indexed citations
15.
Chacar, Aya S., et al.. (2009). A Survey Of New Product Development: Can Decentralization Alone Deliver?. Review of Business Information Systems (RBIS). 13(4).
16.
Vissa, Balagopal & Aya S. Chacar. (2009). Leveraging ties: the contingent value of entrepreneurial teams' external advice networks on Indian software venture performance. Strategic Management Journal. 30(11). 1179–1191. 200 indexed citations
17.
Chacar, Aya S. & William S. Hesterly. (2008). Institutional settings and rent appropriation by knowledge‐based employees: the case of Major League Baseball. Managerial and Decision Economics. 29(2-3). 117–136. 17 indexed citations
18.
Chacar, Aya S. & Balagopal Vissa. (2005). Are emerging economies less efficient? Performance persistence and the impact of business group affiliation. Strategic Management Journal. 26(10). 933–946. 182 indexed citations
19.
Chacar, Aya S. & Balagopal Vissa. (2002). ARE EMERGING ECONOMIES LESS EFFICIENT? COMPARING PERFORMANCE PERSISTENCE IN THE U.S. AND INDIA.. Academy of Management Proceedings. 2002(1). K1–K6. 2 indexed citations
20.
Chacar, Aya S. & Marvin B. Lieberman. (1997). Measuring the Distribution of Returns Among Stakeholders: Method and Application to US and Japanese Auto Companies. 1 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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