Gina Dokko

41 total papers · 1.5k total citations
21 papers, 1.1k citations indexed

About

Gina Dokko is a scholar working on Management of Technology and Innovation, Organizational Behavior and Human Resource Management and Strategy and Management. According to data from OpenAlex, Gina Dokko has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management of Technology and Innovation, 8 papers in Organizational Behavior and Human Resource Management and 4 papers in Strategy and Management. Recurrent topics in Gina Dokko's work include Entrepreneurship Studies and Influences (7 papers), Private Equity and Venture Capital (4 papers) and Innovation and Knowledge Management (4 papers). Gina Dokko is often cited by papers focused on Entrepreneurship Studies and Influences (7 papers), Private Equity and Venture Capital (4 papers) and Innovation and Knowledge Management (4 papers). Gina Dokko collaborates with scholars based in United States, Singapore and United Kingdom. Gina Dokko's co-authors include Lori Rosenkopf, Steffanie L. Wilk, Nancy P. Rothbard, Paul Almeida, Vibha Gaba, Aimée A. Kane, Marco Tortoriello, Amit Nigam, Elissa L. Perry and Jamie Ladge and has published in prestigious journals such as Academy of Management Review, Academy of Management Journal and Strategic Management Journal.

In The Last Decade

Gina Dokko

18 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Gina Dokko 472 320 296 260 248 21 1.1k
Daniel Tzabbar 560 1.2× 300 0.9× 192 0.6× 295 1.1× 180 0.7× 26 950
Matthew Josefy 405 0.9× 286 0.9× 220 0.7× 360 1.4× 286 1.2× 26 1.2k
Jeffrey S. Bracker 490 1.0× 489 1.5× 506 1.7× 212 0.8× 244 1.0× 32 1.3k
Teresa Joyce Covin 361 0.8× 460 1.4× 481 1.6× 148 0.6× 275 1.1× 24 992
Stefan Wally 820 1.7× 367 1.1× 387 1.3× 261 1.0× 432 1.7× 14 1.5k
Andrew von Nordenflycht 535 1.1× 155 0.5× 522 1.8× 195 0.8× 189 0.8× 26 1.3k
Yi‐Ying Chang 688 1.5× 343 1.1× 384 1.3× 124 0.5× 125 0.5× 33 1.2k
Ellen R. Auster 509 1.1× 360 1.1× 381 1.3× 294 1.1× 275 1.1× 35 1.5k
Carmen Camelo‐Ordaz 406 0.9× 527 1.6× 423 1.4× 144 0.6× 223 0.9× 30 1.1k
Laurence G. Weinzimmer 365 0.8× 384 1.2× 289 1.0× 340 1.3× 343 1.4× 34 1.1k

Countries citing papers authored by Gina Dokko

Since Specialization
Citations

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

Fields of papers citing papers by Gina Dokko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina Dokko

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