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PROF. DR. BEH LOO SEE
Professor Dr. Loo-See Beh is Professor of HRM & Public Administration at the Faculty of Business and Economics, University of Malaya, Kuala Lumpur, Malaysia, and formerly the Head of Department of Administrative Studies and Politics, and the Deputy Dean (International and Higher Degree), Faculty of Economics and Administration, as well as Interim Head of Department of Public Administration, Faculty of Business and Economics. She holds a PhD in Training Management, M.A. in Political Science, and ...
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ASSOCIATE PROF. DR. LIM KIAN PING
in f inancial e conomics from Universiti Putra Malaysia (UPM). After completing his master degree, Lim joined UMS as a lecturer in January 2002 . Three years later, he was given a staff scholarship to pursue a PhD degree at the Department of Econometrics and Busi ness Statistics, Monash University. He holds a B . B . A . in finance with honors from Universiti Kebangsaan Malaysia (UKM ) , and a M.Sc. in f inancial e conomics from Universiti Putra Malaysia (UPM). After completing his master degree...
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DR. CHAN WEI SEE
I hold a PhD in Politics and International Relations from the University of Aberdeen, UK. My doctoral thesis investigates the interplay between political modernisation and ecological modernisation in a developing country. It engages with modernisation theories while highlighting country-specific dynamics and offers theoretical and empirical insights into how the lack of political institutionalisation affects environmental decision-making, particularly in Malaysia. I am an Associate Fellow of the...
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TOP RESEARCHER BY WoS (WEB OF SCIENCE) PUBLICATION
This list ranks active academic staff by their total number of distinct Web of Science (WoS/ISI) publications. Only publications where the author is affiliated with Universiti Malaya are included. Publications with ownership disputes or those marked as ineligible under university criteria are excluded. Counts include all eligible WoS publications on record, not limited to a specific year. Rankings are generated automatically from UMEXPERT records.