Michael A. Rappa

1.8k total citations
38 papers, 1.2k citations indexed

About

Michael A. Rappa is a scholar working on Strategy and Management, Statistics, Probability and Uncertainty and Management of Technology and Innovation. According to data from OpenAlex, Michael A. Rappa has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Strategy and Management, 6 papers in Statistics, Probability and Uncertainty and 5 papers in Management of Technology and Innovation. Recurrent topics in Michael A. Rappa's work include Innovation and Knowledge Management (9 papers), scientometrics and bibliometrics research (6 papers) and Innovation Diffusion and Forecasting (4 papers). Michael A. Rappa is often cited by papers focused on Innovation and Knowledge Management (9 papers), scientometrics and bibliometrics research (6 papers) and Innovation Diffusion and Forecasting (4 papers). Michael A. Rappa collaborates with scholars based in United States, Belgium and Netherlands. Michael A. Rappa's co-authors include Raghu Garud, Koenraad Debackere, Roland Van Dierdonck, Bart Clarysse, Emily Griffiths, Christopher G. Healey, Laurie Williams and Benjamin Watson and has published in prestigious journals such as Organization Science, Research Policy and Technological Forecasting and Social Change.

In The Last Decade

Michael A. Rappa

31 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael A. Rappa United States	12	563	248	209	158	150	38	1.2k
David Tilson United States	9	565 1.0×	211 0.9×	118 0.6×	332 2.1×	66 0.4×	22	1.2k
Erik Bohlin Sweden	18	674 1.2×	129 0.5×	484 2.3×	192 1.2×	54 0.4×	141	1.6k
Verna Allee United States	13	774 1.4×	254 1.0×	57 0.3×	155 1.0×	185 1.2×	16	1.5k
Regis McKenna United States	10	489 0.9×	186 0.8×	113 0.5×	273 1.7×	329 2.2×	27	1.4k
Youngki Park South Korea	12	446 0.8×	155 0.6×	93 0.4×	311 2.0×	67 0.4×	56	1.1k
Marta Ortiz‐de‐Urbina‐Criado Spain	18	278 0.5×	241 1.0×	173 0.8×	117 0.7×	111 0.7×	77	1.0k
Jeffrey L. Funk Singapore	20	649 1.2×	187 0.8×	242 1.2×	169 1.1×	51 0.3×	52	1.1k
David O’Sullivan Ireland	18	563 1.0×	286 1.2×	108 0.5×	68 0.4×	85 0.6×	74	1.2k
Peter Meso United States	19	285 0.5×	118 0.5×	100 0.5×	227 1.4×	90 0.6×	53	1.3k

Countries citing papers authored by Michael A. Rappa

Since Specialization

Citations

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

Fields of papers citing papers by Michael A. Rappa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Rappa. 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 Michael A. Rappa. The network helps show where Michael A. Rappa may publish in the future.

Co-authorship network of co-authors of Michael A. Rappa

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

All Works

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20 of 20 papers shown

Rappa, Michael A. & Koenraad Debackere. (2018). Beyond Persistence: Understanding the Commitment of Pioneers in Emerging Fields of Science and Technology. DSpace@MIT (Massachusetts Institute of Technology).

Dierdonck, Roland Van, Koenraad Debackere, & Michael A. Rappa. (2018). An Assessment of Science and Technology Parks: Towards a Better Understanding of Their Role in the Emergence of New Technologies. 2 indexed citations

Rappa, Michael A. & Koenraad Debackere. (2015). The Emergence of a New Technology: The Case of Neural Networks. DSpace@MIT (Massachusetts Institute of Technology).

Watson, Benjamin, et al.. (2013). Win, lose or cheat: The analytics of player behaviors in online games. NCSU Libraries Repository (North Carolina State University Libraries). 3 indexed citations

Rappa, Michael A.. (2013). Obstacles to systemic innovation: an illustration from semiconductor manufacturing technology.... DSpace@MIT (Massachusetts Institute of Technology).

Rappa, Michael A., et al.. (2006). OpenSeminar: Web-based Collaboration Tool for Open Educational Resources. 2005. 1–9. 5 indexed citations

Rappa, Michael A.. (2004). The utility business model and the future of computing services. IBM Systems Journal. 43(1). 32–42. 285 indexed citations

Rappa, Michael A.. (2002). Future directions in controlling particle contamination in semiconductor integrated circuit manufacturing: an industry survey. 87–91. 1 indexed citations

Clarysse, Bart, et al.. (1996). Autonomy in the industrial laboratory: The dilemma revisited. The Journal of High Technology Management Research. 7(1). 61–78. 6 indexed citations

10.

Debackere, Koenraad, Bart Clarysse, & Michael A. Rappa. (1996). Dismantling the ivory tower: The influence of networks on innovative output in emerging technologies. Technological Forecasting and Social Change. 53(2). 139–154. 21 indexed citations

11.

Rappa, Michael A. & Koenraad Debackere. (1995). An analysis of entry and persistence among scientists in an emerging field of science: the case of neural networks. R and D Management. 25(3). 323–341. 5 indexed citations

12.

Rappa, Michael A. & Koenraad Debackere. (1995). An analysis of entry and persistence among scientists in an emerging field of Science: The case of Neural Networks. R and D Management. 25(4). 350–350. 2 indexed citations

13.

Debackere, Koenraad & Michael A. Rappa. (1994). Technological communities and the diffusion of knowledge: a replication and validation. R and D Management. 24(4). 355–371. 32 indexed citations

14.

Debackere, Koenraad, et al.. (1994). Science and industry: a theory of networks and paradigms. Technology Analysis and Strategic Management. 6(1). 21–38. 35 indexed citations

15.

Rappa, Michael A.. (1994). Assessing the rate of technological progress using hazard rate models of R&D communities. R and D Management. 24(2). 183–194. 1 indexed citations

16.

Debackere, Koenraad & Michael A. Rappa. (1993). An international comparison of scientists in an emerging field. International Journal of Technology Management. 8(6/7/8). 740–763. 2 indexed citations

17.

Garud, Raghu & Michael A. Rappa. (1992). ON THE PERSISTENCE OF RESEARCHERS IN TECHNOLOGICAL DEVELOPMENT.. Academy of Management Proceedings. 1992(1). 369–373. 5 indexed citations

18.

Rappa, Michael A. & Koenraad Debackere. (1992). Technological communities and the diffusion of knowledge. R and D Management. 22(3). 209–220. 66 indexed citations

19.

Dierdonck, Roland Van, Koenraad Debackere, & Michael A. Rappa. (1991). An assessment of science parks: Towards a better understanding of their role in the diffusion of technological knowledge. R and D Management. 21(2). 109–124. 67 indexed citations

20.

Rappa, Michael A.. (1987). The structure of technological revolutions : an empirical study of the development of III-V compound semiconductor technology. UMI eBooks. 5 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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