Agrifoglio, R., Metallo, C. & di Nauta, P. (2021). Understanding knowledge management in public organizations through the organizational knowing perspective: A systematic literature review and bibliometric analysis. Public Organization Review, 21, 137–156. https://doi.org/10.1007/s11115-020-00480-7
Akintunde, T. Y., Musa, T. H., Musa, H. H., Musa, I. H., Chen, S., Ibrahim, E., Tassang & Helmy, M. S. E. D. M. (2021). Bibliometric analysis of global scientific literature on effects of COVID-19 pandemic on mental health. Asian journal of psychiatry, 63, 102753. https://doi.org/10.1016/j.ajp.2021.102753
Amado, A., Cortez, P., Rita, P., & Moro, S. (2018). Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis. European Research on Management and Business Economics, 24(1), 1–7. https://doi.org/10.1016/j.iedeen.2017.06.002
Cuccurullo, C., Aria, M. & Sarto, F. (2016). Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains. Scientometrics 108, 595–611. https://doi.org/10.1007/s11192-016-1948-8
Gooden, S. T. (2015). PAR’s social equity footprint. Public Administration Review, 75(3), 372–381.https://doi.org/10.1111/puar.12346
Goyal, N. A. (2017) “review” of policy sciences: bibliometric analysis of authors, references, and topics during 1970–2017. Policy Sciences, 50, 527–537 (2017). https://doi.org/10.1007/s11077-017-9300-6
Groeneveld, S., Tummers, L., Bronkhorst, B., Ashikali, T., & Van Thiel, S. (2015). Quantitative methods in public administration: Their use and development through time. International Public Management Journal, 18(1), 61–86.https://doi.org/10.1080/10967494.2014.972484
Higuchi, K. (2016). A Two-step approach to quantitative content analysis: KH Coder tutorial using Anne of Green Gables (part I). Ritsumeikan Social Science Review, 52(3), 77–91.
Hung, J. L. (2012). Trends of e-learning research from 2000 to 2008: Use of text mining and bibliometrics. British journal of educational technology, 43(1), 5–16. https://doi.org/10.1111/j.1467-8535.2010.01144.x
Jones Jr, W. A., & Doss Jr, C. B. (1977). Contributions to the Public Administration Review: 1966–1975. Public Administration Review, 270–275. https://doi.org/974822
Krallinger, M., Valencia, A., & Hirschman, L. (2008). Linking genes to literature: text mining, information extraction, and retrieval applications for biology. Genome biology, 9(2), S8. https://doi.org/10.1186/gb-2008-9-s2-s8
Krippendorff, K. (1980). Content analysis: An introduction to its methodology. Sage.
Kwon, OJ. (2022). Tracing two faces of extended visibility: A bibliometric analysis of transparency discussions in social sciences. Quality and Quantity, (2022). https://doi.org/10.1007/s11135-022-01334-8
McCormick, W. P., Lyons, N. I., & Hutcheson, K. (1992). Distributional properties of jaccard's indexof similarity. Communications in Statistics: Theory and Methods, 21(1), 51–68.https://doi.org/10.1080/03610929208830764
Moteki, Y. (2020). Sengo Nihon no Gyosei-gaku Kenkyu no Teiryo-teki Kento: “Nenpo Gyosei Kenkyu” (1962–2018) Keisai Ronbun Daimoku no Tekisutomainingu Shuhoni Motodzuku Tokei-teki Naiyo Bunseki [Focus Changes in Administrative Studies in Postwar Japan: Statistical Content Analyses of Articles in The Annals of the Japanese Society for Public Administration (1962–2018)]. Hiroshima Hougaku [The Hiroshima Law Journal], 43(4), 206–235.http://doi.org/10.15027/49260
Muramatsu, M. (2001). GyoseigakuKyokasho: GendaiGyosei no Seiji Bunseki [Political Analysis of Modern Public Administration] (2nd eds.). Tokyo:Yuhikaku.
Muramatsu, M. (1983). Gyoseigaku no Kadai to Tenbo [Issues and Prospects of Public Administration]. Nenpou Gyosei Kenkyu [The Annals of the Japanese Society for Public Administration], 17, 39–59.
Nederhof, A.J., Zwaan, R.A., De Bruin, and & Dekker, P. J. (1989). Assessing the usefulness of bibliometric indicators for the humanities and the social and beha vioural sciences: A comparative study. Scientometrics 15, 423–435. https://doi.org/10.1007/BF02017063
Ni, C., Sugimoto, C. R., & Robbin, A. (2017). Examining the evolution of the field of public administration through a bibliometric analysis of public administration review. Public Administration Review, 77(4), 496–509.https://doi.org/10.1111/puar.12737
Nishio, M. (2001). GyoseiGaku [Public Administration] (new ed.) Tokyo:Yuhikaku.
Perry, J. L., & Kraemer, K. L. (1986). Research Methodology in the Public Administration Review, 1975–1984. Public Administration Review, 215–226. https://doi.org/3110436
Saito, A. (2011). Nihon ni okeru Tekisutomainingu no Oyo [Application of text mining in Japan]. The University of Kitakyushu Economic Association Working Paper Series, (2011–2012). https://www.kitakyu-u.ac.jp/economy/study/pdf/2011/2011_11.pdf
Sakushima, K., Sasaki, H.,&Tashiro K. (2012). Tekisutomainingu wo Mochiita Gakkaishi Ronbun Taitoru no Jikeiretsu bunseki: Nihon Shinkei Gakkai-shi `Rinsho Shinkei-gaku' no Bunseki [Time-series analysis of the titles of the journal articles using text mining: analysis of the journal of the Japanese Society of Neurology Clinical Neurology.Iryo Jyoho Gaku[Medical Informatics], 32(6), 315–321. https://doi.org/10.14948/jami.32.315
Virani, A., Wellstead, A.M. & Howlett, M. (2020). Where is the policy? A bibliometric analysis of the state of policy research on medical tourism. Global Health Research and Policy, 5, 19. https://doi.org/10.1186/s41256-020-00147-2
White, G. O., Guldiken, O., Hemphill, T. A., He, W., &Khoobdeh, M. S. (2016). Trends in international strategic management research from 2000 to 2013: text mining and bibliometric analyses. Management International Review, 56(1), 35–65.https://doi.org/10.1007/s11575-015-0260-9