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A Simulation of the Structure of Academic Science

Citations

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Cited by:

  1. Meihan He & Jongsu Lee, 2020. "Social culture and innovation diffusion: a theoretically founded agent-based model," Journal of Evolutionary Economics, Springer, vol. 30(4), pages 1109-1149, September.
  2. Haobai Xue, 2024. "Temporal Evolution of Bradford Curves in Academic Library Contexts," Publications, MDPI, vol. 12(4), pages 1-17, October.
  3. Petra Ahrweiler, 2017. "Agent-based simulation for science, technology, and innovation policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 391-415, January.
  4. Petra Ahrweiler & Andreas Pyka & Nigel Gilbert, 2004. "Simulating Knowledge Dynamics In Innovation Networks (Skin)," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 14, pages 284-296, World Scientific Publishing Co. Pte. Ltd..
  5. Carayol, Nicolas & Dalle, Jean-Michel, 2007. "Sequential problem choice and the reward system in Open Science," Structural Change and Economic Dynamics, Elsevier, vol. 18(2), pages 167-191, June.
  6. Andreas Pyka & Nigel Gilbert & Petra Ahrweiler, 2006. "Simulating Knowledge-Generation and -Distribution Processes in Innovation Collaborations and Networks," Discussion Paper Series 287, Universitaet Augsburg, Institute for Economics.
  7. Petra Ahrweiler, 2011. "Modelling Theory Communities in Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-8.
  8. Simone Righi & Károly Takács, 2017. "The miracle of peer review and development in science: an agent-based model," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 587-607, October.
  9. Mario Paolucci & Francisco Grimaldo, 2014. "Mechanism change in a simulation of peer review: from junk support to elitism," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 663-688, June.
  10. Gilbert, Nigel & Ahrweiler, Petra & Pyka, Andreas, 2007. "Learning in innovation networks: Some simulation experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(1), pages 100-109.
  11. Matthias Meyer & Iris Lorscheid & Klaus G. Troitzsch, 2009. "The Development of Social Simulation as Reflected in the First Ten Years of JASSS: a Citation and Co-Citation Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-12.
  12. Lilia L. Ramírez-Ramírez & Mary E. Thompson, 2014. "Applications of the Variance of Final Outbreak Size for Disease Spreading in Networks," Methodology and Computing in Applied Probability, Springer, vol. 16(4), pages 839-862, December.
  13. Francisco Grimaldo & Mario Paolucci & Jordi Sabater-Mir, 2018. "Reputation or peer review? The role of outliers," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1421-1438, September.
  14. M. Laura Frigotto & Massimo Riccaboni, 2011. "A few special cases: scientific creativity and network dynamics in the field of rare diseases," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 397-420, October.
  15. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
  16. Flavio Lenz-Cesar & Almas Heshmati, 2010. "Agent-based Simulation of Cooperative Innovation," TEMEP Discussion Papers 201052, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
  17. Heshmati, Almas & Lenz-Cesar, Flávio, 2013. "Determinants and Policy Simulation of Firms Cooperation in Innovation," IZA Discussion Papers 7487, Institute of Labor Economics (IZA).
  18. Loet Leydesdorff, 2015. "Can intellectual processes in the sciences also be simulated? The anticipation and visualization of possible future states," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2197-2214, December.
  19. Matthias Meyer & Michael A. Zaggl & Kathleen M. Carley, 2011. "Measuring CMOT’s intellectual structure and its development," Computational and Mathematical Organization Theory, Springer, vol. 17(1), pages 1-34, March.
  20. Pawel Sobkowicz, 2011. "Simulations of opinion changes in scientific communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 233-250, May.
  21. Jeffrey O’Neal London & Nasir Jamil Sheikh, 2020. "Innovation in African-American high-tech enterprises: a multi-agent approach," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(4), pages 3101-3121, June.
  22. Leo Egghe & I. K. R. Ravichandra Rao, 2002. "Theory and experimentation on the most-recent-reference distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 371-387, March.
  23. Christopher Watts & Nigel Gilbert, 2011. "Does cumulative advantage affect collective learning in science? An agent-based simulation," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 437-463, October.
  24. Bruce Edmonds & Nigel Gilbert & Petra Ahrweiler & Andrea Scharnhorst, 2011. "Simulating the Social Processes of Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-14.
  25. David Chavalarias, 2017. "What’s wrong with Science?," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 481-503, January.
  26. David O'Sullivan & Mordechai Haklay, 2000. "Agent-Based Models and Individualism: Is the World Agent-Based?," Environment and Planning A, , vol. 32(8), pages 1409-1425, August.
  27. Isaac Naveh & Ron Sun, 2006. "A cognitively based simulation of academic science," Computational and Mathematical Organization Theory, Springer, vol. 12(4), pages 313-337, December.
  28. Squazzoni, Flaminio & Gandelli, Claudio, 2012. "Saint Matthew strikes again: An agent-based model of peer review and the scientific community structure," Journal of Informetrics, Elsevier, vol. 6(2), pages 265-275.
  29. Matthias Meyer, 2011. "Bibliometrics, Stylized Facts and the Way Ahead: How to Build Good Social Simulation Models of Science?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-4.
  30. Michel Zitt, 2015. "Meso-level retrieval: IR-bibliometrics interplay and hybrid citation-words methods in scientific fields delineation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2223-2245, March.
  31. Guangyu Zou & Levent Yilmaz, 2011. "Dynamics of knowledge creation in global participatory science communities: open innovation communities from a network perspective," Computational and Mathematical Organization Theory, Springer, vol. 17(1), pages 35-58, March.
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