Tojo Thatchenkery

1.6k total citations
40 papers, 866 citations indexed

About

Tojo Thatchenkery is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology and Management of Technology and Innovation. According to data from OpenAlex, Tojo Thatchenkery has authored 40 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Organizational Behavior and Human Resource Management, 8 papers in Social Psychology and 8 papers in Management of Technology and Innovation. Recurrent topics in Tojo Thatchenkery's work include Appreciative Inquiry and Organizational Change (14 papers), Emotional Intelligence and Performance (7 papers) and Organizational Learning and Leadership (6 papers). Tojo Thatchenkery is often cited by papers focused on Appreciative Inquiry and Organizational Change (14 papers), Emotional Intelligence and Performance (7 papers) and Organizational Learning and Leadership (6 papers). Tojo Thatchenkery collaborates with scholars based in United States, Finland and Saudi Arabia. Tojo Thatchenkery's co-authors include Kenneth J. Gergen, David M. Bøje, Robert P. Gephart, Lisa A. Zanetti, Hugh T. Miller, Charles J. Fox, Cliff Cheng, David Urbano, Roger R. Stough and Michel Avital and has published in prestigious journals such as Technological Forecasting and Social Change, The Journal of Applied Behavioral Science and Human Performance.

In The Last Decade

Tojo Thatchenkery

31 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tojo Thatchenkery United States 13 366 263 110 99 98 40 866
Herman Van Den Broeck Belgium 11 447 1.2× 180 0.7× 124 1.1× 80 0.8× 145 1.5× 28 1.0k
Jean Helms Mills Canada 17 427 1.2× 271 1.0× 95 0.9× 64 0.6× 86 0.9× 45 851
Julie Wolfram Cox Australia 21 595 1.6× 408 1.6× 95 0.9× 66 0.7× 76 0.8× 68 1.3k
Martyna Śliwa United Kingdom 19 338 0.9× 277 1.1× 117 1.1× 135 1.4× 49 0.5× 80 1.1k
Brad Jackson New Zealand 19 552 1.5× 213 0.8× 92 0.8× 38 0.4× 62 0.6× 49 1.1k
Danna Greenberg United States 18 345 0.9× 368 1.4× 142 1.3× 53 0.5× 43 0.4× 37 1.0k
Abigail Marks United Kingdom 19 331 0.9× 340 1.3× 139 1.3× 56 0.6× 140 1.4× 51 917
Ralph Stablein New Zealand 13 438 1.2× 265 1.0× 94 0.9× 61 0.6× 78 0.8× 25 843
Hugo Letiche Netherlands 13 414 1.1× 237 0.9× 67 0.6× 46 0.5× 46 0.5× 72 825
Françoise Dany France 13 427 1.2× 219 0.8× 160 1.5× 66 0.7× 69 0.7× 16 792

Countries citing papers authored by Tojo Thatchenkery

Since Specialization
Citations

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

Fields of papers citing papers by Tojo Thatchenkery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tojo Thatchenkery

This figure shows the co-authorship network connecting the top 25 collaborators of Tojo Thatchenkery. A scholar is included among the top collaborators of Tojo Thatchenkery 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 Tojo Thatchenkery. Tojo Thatchenkery 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.
Thatchenkery, Tojo, et al.. (2022). Female Entrepreneurial Activity and Institutions: Empirical Evidence from Saudi Arabia. Research in Globalization. 5. 100102–100102. 18 indexed citations
2.
Lehtimäki, Hanna, et al.. (2017). Positive approaches to enhance customer-focused knowledge sharing culture in a financial services organisation. International Journal of Human Resources Development and Management. 17(1/2). 21–21. 1 indexed citations
3.
Lehtimäki, Hanna, et al.. (2015). Appreciative Intelligence®: post merger communication in a public organisation. International Journal of Human Resources Development and Management. 15(2/3/4). 115–115. 1 indexed citations
4.
Thatchenkery, Tojo. (2013). Leveraging Appreciative Intelligence for Innovation in Indian Organizations. 15(1). 29–33. 4 indexed citations
5.
Lehtimäki, Hanna, Johanna Kujala, & Tojo Thatchenkery. (2013). Appreciative Intelligence® in leadership culture transformation: a case study. International Journal of Human Resources Development and Management. 13(4). 244–244. 1 indexed citations
6.
Tarnoff, Phil, et al.. (2012). Institutional Architectures to Improve Systems Operations and Management. National Academies Press eBooks. 1 indexed citations
7.
Thatchenkery, Tojo, et al.. (2011). Missing in Mobility: An Analysis of Leadership Invisibility of Asian Americans in Organizations. SSRN Electronic Journal.
8.
Tarnoff, Phil, et al.. (2011). Guide to Improving Capability for Systems Operations and Management. National Academies Press eBooks. 1 indexed citations
9.
Thatchenkery, Tojo, et al.. (2011). Making the Invisible Visible. Palgrave Macmillan US eBooks. 6 indexed citations
10.
Thatchenkery, Tojo, et al.. (2010). Leveraging Appreciative Intelligence for Positive Enactment in Times of Uncertainty: A Case Study of a Small Investment Firm. American Journal of Economics and Business Administration. 2(2). 147–152. 1 indexed citations
11.
Thatchenkery, Tojo. (2009). Appreciative Intelligence for Innovation in Indian Industry. Paradigm A Management Research Journal. 13(1). 1–5. 3 indexed citations
12.
Behara, Ravi S., et al.. (2008). Empathic Knowledge Management: reverse simulation experiments in a learning laboratory. International Journal of Information Technology and Management. 7(3). 283–283. 4 indexed citations
13.
Thatchenkery, Tojo, et al.. (2007). Appreciative Inquiry and Knowledge Management: A Social Constructionist Perspective. Medical Entomology and Zoology. 12 indexed citations
14.
Thatchenkery, Tojo & Roger R. Stough. (2005). Information communication technology and economic development : learning from the Indian experience. E. Elgar eBooks. 6 indexed citations
15.
Thatchenkery, Tojo, Don E. Kash, & Roger R. Stough. (2004). Information technology services and economic development: The Indian experience. Technological Forecasting and Social Change. 71(8). 771–776. 10 indexed citations
16.
Gergen, Kenneth J. & Tojo Thatchenkery. (2004). Organization Science as Social Construction. The Journal of Applied Behavioral Science. 40(2). 228–249. 38 indexed citations
17.
Bøje, David M., Robert P. Gephart, & Tojo Thatchenkery. (1996). Postmodern Management and Organization Theory. 162 indexed citations
18.
Gergen, Kenneth J. & Tojo Thatchenkery. (1996). Developing Dialogue for Discerning Differences. The Journal of Applied Behavioral Science. 32(4). 428–433. 13 indexed citations
19.
Gergen, Kenneth J. & Tojo Thatchenkery. (1996). Organization Science as Social Construction: Postmodern Potentials. The Journal of Applied Behavioral Science. 32(4). 356–377. 165 indexed citations
20.
Thatchenkery, Tojo, et al.. (1996). Filmic representations for organizational analysis: the characterization of a transplant organization in the filmRising Sun. Journal of Organizational Change Management. 9(3). 44–61. 20 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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