Mark Liao
2009.12.4

Part 1: How to conduct good research ?
• Based on `` How to be a winner: advice for students starting into research .’’

• The biggest challenge one faces to any new project is that there is a huge amount of stuff one needs to know to tackle related problems properly.
• So learning how to cope with this challenge is an important skill to master to become a good researcher.

Coping mechanisms employed by winners
• Prioritizing (what do I need to know most)
• Read (everything made available to you, and seek out more)
• Multithreading (When blocked on one path, is there another path ?)
• Wishful thinking (if this subproblem is solved, does that allow me to go on and solve other problems)
• Pester people who might have information you need

• When you have to build your own models, solve unexpected problems, make assumptions , do make sure to communicate and synchronize with your fellow researchers.

• The whole problem often seems overwhelming . Decompose it into manageable pieces . Tackle the pieces one at a time. Divide and conquer .

• Keep careful track of what you have done and what you need to do. Make lists; write it down; don’t rely on your memory to hold all the things you need to do.

• Make priorities in your efforts and check your priorities with your supervisor.

Realize that your supervisor is busy
• He/she hired you to help him get more accomplished than he could have on his/her own. Your biggest benefit to him/her is when you can be self moving and motivating.
• Your supervisor gives you the seed and some directions, then goes off to think about other problems

• Losers keep promising a great thing in the future but have nothing to show now
• Winners can show workable results along the way to the solution

Don’t trap yourself into unnecessary details
• If solving a subtask right is key to the overall goals, maybe it will be necessary to devote time to this sub-problem. However, for most sub-problems, this is not the case.

Learn to solve your own problems
• This is the only way to strive for independence.

Part 2: How to write a good paper ?
• Prof. John W. Chinneck’s point of view
• John’s original topic is `` How to Organize your Thesis ”

• The distinguishing mark of a good research is an original contribution to knowledge
• Therefore, a good research work must show two important things:
1. must identify a worthwhile problem
2. must solve the problem

What a research paper must cover
Reviewer’s Side
• The reviewers who read your paper would like to find out some basic components:
1. What is your research problem ?
2. Is it a good problem ? (or real problem)
3. Did the authors convince me that the defined problem was adequately solved ?
4. Have the authors made an adequate contribution to knowledge ?

What a research paper must cover
Author’s Side
• To prove the originality and value of your contribution, you must cover:
1. A thorough review of the existing literature
2. By making direct reference to your literature survey, you must demonstrate two things: a. the problem has not been previously solved ; b. the problem is worth solving.

A Generic Research Paper
Skeleton (1)
1. Introduction
2. Review of the State of the Art
3. Problem Statement
4. Describing How You Solved the Problem
5. Experiment Results
6. Conclusions

A Generic Research Paper
Skeleton (2)
• INTRODUCTION
-- is a general introduction to what the paper is all about, therefore, it must cover
1. a brief summary of the problem
2. some of the reasons why it is a worthwhile issue
3. an overview of your main results

A Generic Research Paper
Skeleton (3)
Review of the state of the art
-- to present the major ideas in the state of the art right up to
-- should be a `` real ’’ survey, must point out some milestone papers ( 不要隨便塞一
些 papers, 敷衍了事 , 這件事的目的是引出
將要解決的問題的重要性 )

A Generic Research Paper
Skeleton (4)
• Review of the state of the art
-- organize the survey by idea , not by author or by publication
• Example: tone reproduction originally global-based approaches then local-based approaches (due to some bottlenecks)

A Generic Research Paper
Skeleton (5)
• Problem statement
This section should cover three main parts
1. A concise statement of the problem that your work tackles
2. Justification , by direct reference to the state of the art section, that your problem is previously unanswered
3. Discussion of why it is worthwhile to solve this problem.

A Generic Research Paper
Skeleton (6)
• Describing how you solved the problem
-- Try to convince the reviewers that you solved the problem that you set for yourself in Problem Statement Section . Of course experiment is a good support of the proposed solution.

A Generic Research Paper
Skeleton (7)
• Conclusions
--- generally cover three things
1. conclusions
2. summary of contributions
3. future research

Part 3: How to evaluate the performance of a researcher ?
• One must know how his/her work is evaluated !!
• There are quite many evaluation tools available, ex. Google scholar , Publish or
Perish, Web of Science , SCOPUS

• 每個人看法不同 !
• 每個領域標準不同 !
• 但是使用絕對值 , 比如 : 論文數目 , 絕對是錯誤
的 .
• 不同領域的比較也是不適當的 (biology and computer science cannot be compared)
• Reverse engineering helps.

• SCOPUS
- how to search a person ?
- how to generate citation report based on the number of citations ?
• Publish or Perish
- how to search a person ?
- how to make use of the provided statistics ?

• Thomson’s Web of Science
- How to generate citation report of a person or a department ?

Some Metrics to Evaluate a
Department
• Total citations within a 10-year window
( the only absolute value used, ex. 1996-2006 this value was 632 (ISI), therefore, a critical mass of faculty number is needed )
• Average citations per item
• H-index of an institute
• The number of top 1% papers
• The ratio of top 1% papers to all papers

A:Papers B:Citations C:Cites per Paper NR:No Record

• What is H-index of a department or of a person ?
ranking
(based on order) (# of citations)
#1 15
#2 13
#3 10
#4 6
#5 4
The h-index of this case is 4

Search the H-index of a
Department via ISI Web of Science
• For example: the EE Department of USC or the EE Department of Natl Taiwan Univ.
• EE Dept of USC (ISI Advanced Search) type:
AD=(Univ So Calif SAME Dept Elect Engn)
AD=(Natl Taiwan Univ SAME Dept Elect Engn)

All
Fields
1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008
All
Years
0.01% 1562 1143 1138 1041 925 723 542 409 240 123 29 838
0.10% 496 454 423 381 329 274 215 162 97 48 12 301
1.00
%
161 153 143 129 114 94 77 57 36 18 5 98
10.00
%
20.00
%
41
23
40
23
38
22
35
20
31
18
27
16
22
14
17
10
11
7
5
3
2
1
24
13
50.00
7 7 7 7 6 5 5 4 2 1
%
Comput er
Scienc
1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 e
0 3
All
Years
0.01% 6795 985 694 453 899 902 287 226 80 50 10 462
0.10% 251 230 271 297 223 143 80 67 38 16 5 138
1.00
70 65 56 59 56 39 27 21 12 7 3 37

H-index of different CS Departments in Taiwan
(As of October 2009)
University
Items h-index total # pape rs
NTU
CSIE
NCTU
CSIE, CS,
CIS
NTHU
CS, ICDS
NCU
CSIE
NCKU
CSIE
Acad. Sinica
IIS
34
42
22
26
20
31
1711
2254
1406
629
1928
1116
Average Citations per item (ACI)
# of top 1% papers
# of 0.1% papers
4.20
4.99
2.35
5.37
2.34
4.83
12
24
0
10
4
10
2
2
0
0
0
1

• Computer Science Department :
- Purdue Univ:48
- Univ of Illinois:75
- Univ of Massachusetts:50
- Univ of Southern California:60
- National Taiwan Univ: 34
- National Chiao Tung Univ: 42
- National Tsing Hua Univ: 22
- Academia Sinica: 31
- National Cheng Kung Univ:20
- National Central Univ:26

-- EE department:
- USC: 121
- Univ of Toronto: 86
- Univ of British Columbia: 56
- National Taiwan Univ: 57
- Princeton Univ: 142
- UC San Diego:79
- UC Los Angeles:99
- UC Irvine: 51
- National Tsing Hua Univ:40

Search the H-index of a Person via
ISI Web of Science
• For example: Hong-Yuan Mark Liao of the Inst of
Information Science, Academia Sinica, Taiwan
• Search Hong-Yuan Mark Liao via ISI advanced search .
type:
AU=(Liao HYM) if name is unique
Or AU=(Liao HYM) AND AD=(Acad Sinica SAME Inst
Informat) if name is very common

中研院與世界各研究單位高引用率論文之比較

The ratio of top 1% papers to all published papers
• From 1999-2006 , Academia Sinica published 9,456 SCI papers . Among these papers, 110 papers are within top
1% in terms of citations.
• The ratio of top 1% papers of Academia
Sinica (1999-2006) is thus 110/9456 =
1.16% (the average of the world should be
1%)

翁院長對評斷 researcher 的一個看法
• 年輕學者看被引用數前十名 paper
• 資深學者看 H-index
當然比較必須與同領域學者 (for example: multimedia , parallel computing , cancer research , etc.)

• 來看看台灣資訊領域知名的學者 ( 做一下 reverse engineering)
– 林一平教授
– 林智仁教授
– 曾煜棋教授

as of
October, 2009
林一平 林智仁 曾煜棋
ISI Google ISI Google ISI Google
294(0.1%) 475 883(0.1%) 2386
234(1%) 426 180(1%) 1609
138(1%)
118(1%)
1381
476
149(1%)
140(1%)
101(1%)
292
269
236
121(1%)
105(1%)
88(1%)
1474
666
338
99(1%)
78(1%)
66(1%)
427
342
293

• Good judgment comes from experience ; experience comes from bad judgment .
• We can identify some successful cases and do reverse engineering to find clues.