All in an afternoon's work: An analysis of scientific output of scientists based in Singapore
In the spirit of the Highly Cited Researchers, I decided to do my own analysis of the scientific output of scientists based in Singapore institutions. The database I used is Scopus from Elsevier and I used SciVal to pull out 5 key numbers of the scientists. The first is Scholarly Output, this is the fundamental measurement in the old days of how "productive" a scientist was. Basically it is just a sum total of the number of publications over a certain period of time. The second metric is Total Citations. Basically this is a proxy of how popular one's papers have been. This proxy is linked to the scholarly output in the sense that the more a scientist publishes, the probability of more total citations he/she will garner will increase. The third metric is Field Weighted Citation Impact (FWCI). FWCI score comes from the Scopus database and shows how the article's citation count compares to similar articles in the same field and timeframe. A score of 1.00 means the article is cited as it would be expected, greater than 1.00 the article is doing better than expected, and less than 1.00 the article is underperforming. Because the FWCI comes from the Scopus database, only documents within the database (1996 to the present) will have a FWCI. Because the FWCI includes field normalization, theoretically, the score should be a better indicator of performance than a raw citation count. The fourth metric is the Citations per Paper. The core principle of citation metrics is the assumption that when an article is cited by another academic, it has had an impact on their research. The validity of this assumption is a matter of debate – after all, there are many reasons why an academic might choose to cite another person’s work, and those reasons do not always reflect the ‘quality’ of the cited work. Nevertheless, citations provide a way to measure the extent to which the published academic community has engaged with a given piece of research. However, given that first metric is linked with second metric, this number tells us the quality of each paper based on the average citations. The fifth metric is H-index. The h-index is an author-level metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. The index is based on the set of the scientist's most cited papers and the number of citations that they have received in other publications.
So what do we have here? Using all these metrics and assuming that all of them carry the same weightage, I proceed to normalize against what I would consider the top of the field. Note that the Scholarly Output is counted over the years from 2016 to 2019. I started to imagine what a top world class researcher will be like. Probably 200 publications in this period, 5000 citations, 200 citations/paper, H-index of 100 and FWCI of 15. Now, this sort of person is imaginary and I used this imaginary top guy as a benchmark. So I came up with this index, let's call it the Saturday Afternoon Index. Saturday Afternoon Index = (Scholarly output / 200) + (Total citations / 5000) + (FWCI / 15) + (Citations per paper / 200) + (H-index / 100). I generated a chart which looks something like this.
I looked at the names on this list and many familiar names pop out. Some are Highly Cited, some have won multiple awards, some have obtained big grants. Whatever it is, these folks are the key players in Singapore science. Let's give all of them an encouragement and congratulate them for being ranked on the Saturday Afternoon Index!!
1 Lou, Xiongwen
2 Wong, Andrew
3 Zhang, Hua
4 Ramakrishna, Seeram A.
5 Yu, Le
6 Zhang, Rui
7 Cheng, Ching Yu
8 Tai, E. Shyong
9 Guan, Buyuan
10 Jafar, Tazeen Hasan
11 Pumera, Martin
12 Pu, Kanyi
13 Boehm, Bernhard Otto
14 Chung, Tai Shung Neal
15 Zhao, Yanli
16 Zeng, Yong
17 Fan, Hongjin
18 Xie, Liliua Hua
19 Loh, Xian Jun
20 Chan, Angelique Wei Ming
21 Tan, Chaoliang
22 Yan, Shuicheng
23 Chen, Xiaodong
24 Chua, Tatseng
25 Liu, Zheng
26 Loh, Kian Ping
27 Shen, Zexiang
28 Niyato, Dusit (Tao)
29 Zhang, Rui
30 Suganthan, Ponnuthurai Nagaratnam
31 Cambria, Erik
32 Neto, Antonio H.Castro
33 Zhang, Qichun
34 Pennycook, Stephen J.
35 Malhotra, Rahul
36 Ginhoux, Florent
37 Zhang, Xiao
38 Wang, Xin
39 Sethi, Gautam
40 Chen, Zhong
41 Wang, Gang
42 Yan, Alexqingyu
43 Zhen, Xu
44 Wang, John
45 Lim, Chwee Teck
46 Sum, T. C.
47 Lin, Jianyi
48 Qiu, Cheng Wei
49 Lin, Hsin
50 Liu, Xiaogang
51 He, Xiangnan
52 Aung, Tin
53 Zhang, Yongwei
54 Xie, Jianping
55 Xu, Zhichuan
56 Fane, A. G.(Tony)
57 Shen, Hanming
58 Lee, Pooi See
59 Xiong, Qihua
60 Lim, Seng Gee
61 Ding, Jun
62 Car, Josip
63 Ge, Shuzhi Sam
64 Madhavi, Srinivasan S.
65 Wen, Changyun
66 Feng, Jiashi
67 Chao, Dongliang
68 Mhaisalkar, Subodh Gautam
69 Mathews, Nripan
70 Tan, Yee Joo
71 Quek, Tony Q.S.
72 Lee, Chengkuo
73 Liu, Bin
74 Wang, Rong
75 Lin, Weisi
76 Hausenloy, Derek John
77 Liu, Bin (NTU)
78 Chen, Bo
79 van Dam, Rob Martinus
80 Saw, Seangmei
81 Luk'Yanchuk, Boris S.
82 Wang, Hou
83 Gubler, Duane J.
84 Huang, Ying
85 Yuen, Chau H.
86 Carvalho, Alexandra
87 Zheludev, Nikolay I.
88 Thiéry, Jean Paul
89 Chng, Wee Joo
90 Liu, Xiaogang
91 Du, Yonghua
92 Thakor, Nitish Vyomesh
93 Richards, Arthur Mark
94 Lam, Carolyn S.P.
95 Poria, Soujanya
96 Tu, Wengguang
97 Chua, Chee Kai
98 Liu, Jianjun
99 Leong, David Tai
100 Li, Bing
101 Zhao, Dan
102 Ho, Roger
103 Meaney, Michael J.
104 Lim, Kahleong
105 Gluckman, Peter D.
106 Chen, Shi
107 Wei, Jun
108 Liu, Bin (NUS)
109 Yang, Hui Ying
110 Chang, Guoqing
111 Li, Zibiao
112 Loh, Teckpeng
113 Rush, Augustus John
114 Xie, Chen
115 Thiéry, Jean Paul
116 Koh, Woon Puay
117 Yu, Ting
118 Koeffler, H. Phillip
119 Soong, Tuck Wah
120 Shum, Perry Ping
121 Seh, Zhi Wei
122 Venkatesan, Thirumalai Venky
123 Qi, Dianpeng
124 Demir, Hilmi
125 Zhou, Kun
126 Chen, Zhi Ning
127 Kjelleberg, Staffan L.A.
128 Yan, Ning
129 Yeong, Waiyee
130 Liu, Zhaolin
131 Wang, Ping
132 Lee, Jimyang
133 Singh, Ranjan
134 Larbi, Anis
135 Chen, Peng
136 Zong, Yun
137 Xu., Rong
138 Chong, Yap Seng
139 Srinivasan, Dipti
140 Teh, Bin Tean
141 Tan, Daniel Shao Weng
142 Tan, Patrick Boon Ooi
143 Wardle, David A.
144 Wang, Chihwa
145 Gupta, M.
146 Xu, Qinghua
147 Kawi, Sibudjing
148 Lim, Teng Joon
149 Wu, Jishan
150 Liu, Bin
151 Linga, Praveen
152 Sim, Xueling
153 Ren, Hongliang
154 Teo, Yik Ying
155 Chen, Wei
156 Ho, G. W.
157 Han, Mingyong
158 Yang, Wenming
159 Hong, Minghui
160 Zhang, Yu
161 Yeo, Gene
162 Zhang, Gang
163 Wee, Andrew T.S.
164 Yong, Kentye
165 Cook, Stuart A.
166 Loh, Marie Chiew Shia
167 Neoh, Koon Gee
168 Kang, E. T.
169 Cho, Namjoon
170 Sun, Handong
171 Huang, Guangbin
172 Wu, Haijun
173 Panda, Sanjib Kumar
174 Chen, Jinmiao
175 Cheung, Chui Ming Gemmy
176 Chen, Christopher Li Hsian
177 Peng, Shengjie
178 Newell, Evan William
179 Sun, Xiaowei
180 Li, Jingchao
181 Chong, Yap Seng
182 Lim, Teik Thye
183 Eda, Goki
184 Pramanik, Manojit
185 Teh, Bin Tean
186 Duan, Hongwei
187 Sheetz, Michael P.
188 Hu, Guoqiang
189 Li, Shuzhou
190 Chang, Youngtae
191 Chia, Kee Seng
192 Yang, Yiyan
193 Yeo, Gene
194 Kumar, Alan Prem
195 Khor, Chiea Chuen
196 Tan, Patrick Boon Ooi
197 Phoon, Kok Kwang
198 Lu, Li
199 Givskov, Michael C.
200 Wang, Linfa
PI at Institute of Microelectronics
3 年Great! Many congratulations!
Founding Dean ,School of Healthcare Sciences and Engineering (SHINE) -VIT University | Fulbright Fellow (FNAPE)22-23,Affiliate faculty, Terasaki Institute, USA
4 年Great! Congrats
Chief Mentor-building institutes to world-class ranking, Speaker at the World Summit.
4 年I liked it. I urge you to write on unethical citations. An agency undertakes writing of papers on others behalf, employs professionals, cross cites, builds citations and h-index. The practice is rampart. Research is the casualty.
Medical and Integrative Doctor, Lifestyle Medicine expert, Yoga & Meditation instructor, Whole food Chef, Gardener, Whole Health Clinical Director, Empathic healer, “The Healing MD”
5 年Congratulations ?????? you got in top 40
AGENCY CISO - Senior Assistant Director at Ministry of Sustainability and the Environment, Singapore
5 年How would the table look on number of patent filed?