Assessing the Impact of Jeff D Ullman Peter

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Assessing the Impact of Jeff D. Ullman Peter P. Chen Computer Science Dept Louisiana

Assessing the Impact of Jeff D. Ullman Peter P. Chen Computer Science Dept Louisiana State University Pchen@lsu. edu, www. csc. lsu. edu/~chen (Presented at Ullman’s Retirement Symposium, Stanford Univ. , Dec. 6, 2002)

Outline • How to assess the impact of a scientist? • Scope and Limitations

Outline • How to assess the impact of a scientist? • Scope and Limitations of this study • Research Methodology and Tools • Research Results • Personal Note • Conclusions

How to Assess the Impact of a Scientist? • Usability – Actual Implementation, Tested

How to Assess the Impact of a Scientist? • Usability – Actual Implementation, Tested in Real World – Number (or Percentage) of Users • Citation – Number of Citations of the Most Cited Paper – Number of Total Citations • Research Pioneering Leadership – Scope, number of papers, time length, – Number of the followers • Education Influence – Academic Family Tree; Productivity and Paper Citations of the nodes in the Family Tree – Book Leadership

Scope of this Study • Focusing on Jeff Ullman • Many speakers today already

Scope of this Study • Focusing on Jeff Ullman • Many speakers today already discussed the Usability and Research Pioneering Activity Dimensions, we did not do such study to avoid duplication • Concentrating on the Paper Citation and Education Influence Dimensions (including influence on me)

Research Methodology & Tools • Using Primarily “Cite. Seer, ” supplementing with other databases

Research Methodology & Tools • Using Primarily “Cite. Seer, ” supplementing with other databases and search engines – Discovering various problems: many data errors, inconsistencies • Analysis of the Academic Tree posted at JDU’s home page & himself • Building an user interface to the database for simple queries • Comparing with the CS faculty in 5 universities

Education Influence of Jeff Ullman • Academic Family Tree – One of the Largest

Education Influence of Jeff Ullman • Academic Family Tree – One of the Largest in Computer Science – Probably the largest in DB • Productivity and Citation Index of People in the Academic Tree – One of the Most Productive and Most Cited Group of Researchers • Book Leadership

Analysis of Data of Ullman’s Academic Family Tree • How many generations? • Which

Analysis of Data of Ullman’s Academic Family Tree • How many generations? • Which generation has most #people? – And what is the # of people? • What is the total number of nodes? • Which generation is most productive and influential (in terms of)? – Most number of publications/person – Highest average number of citations? • Who is the most – Productive? – Influential?

Analysis of Data of Ullman’s Academic Family Tree • How many generations? 5 •

Analysis of Data of Ullman’s Academic Family Tree • How many generations? 5 • Which generation has most #people? 2 nd – And what is the # of people? 121 • What is the total number of nodes? 249 • Which generation is most productive and influential (in terms of)? – Most number of publications/person? 1 st, 18. 05 – Highest average number of citations? 1 st, 163. 34 • Who is the most – Productive? Howard Siegel, 373 – Influential? Larry Petterson (1985, 3 rd G. ) 1684, Student of D. Commer/R. Sethi

Comparisons of JDU’s Family with CS Depts • See separate spreadsheets (Note: the spreadsheets

Comparisons of JDU’s Family with CS Depts • See separate spreadsheets (Note: the spreadsheets are not linked at this time. Will be linked in the near future)

How is Jeff ranked in the “Citation” Dimension? • Cite. Seer maintains two useful

How is Jeff ranked in the “Citation” Dimension? • Cite. Seer maintains two useful statistics – Most Cited Author – Most Cited Documents (including books and articles) • Warning: – Cite. Seer data contains a lot of errors – However, it is useful as a rough estimate, particularly for not very common last names

Cumulative Citations of Jeff Ullman’s Publications • Out of 629, 254 authors in the

Cumulative Citations of Jeff Ullman’s Publications • Out of 629, 254 authors in the Cite. Seer DB • Jeff is ranked as No. 2 • The total number of citations of all Jeff’s publications is: 10592

Individual Publication Citations of Jeff Ullman • How many Jeff’s publications are ranked in

Individual Publication Citations of Jeff Ullman • How many Jeff’s publications are ranked in the top 200 based on Cite. Seer Data as of September 2002? – Answer: 5

How many JDU’s publications are ranked in the top 200? • 12. Doc Context

How many JDU’s publications are ranked in the top 200? • 12. Doc Context 1455 [4] John Hopcroft and Jeffrey Ullman. Introduction to Automata Theory, Languages, and Computation. Addison Wesley, 1979. • 21. Book Context 1171 [2] A. V. Aho, J. E. Hopcroft, and J. D. Ullman, The Design and Analysis of Computer Algorithms, Addison-Wesley, Reading, MA, 1974. • 26. Book Context 1107 [1] A. V. Aho, R. Sethi, and J. D. Ullman, Compilers: Principles, Techniques, and Tools. , Addison-Wesley, 1986. • 42. Doc Context 849 [Ull 88] Ullman J. D. : Principles of Database and Knowledge-Base Systems, Volumes 1 and 2. Computer Science Press, 1988. • 66. Doc Context 635 [23] A. V. Aho, R. Sethi, and J. D Ullman. Compilers Principles, Techniques and Tools. March 1988.

Book Leadership • JDM is the author or co-author of – 5 most cited

Book Leadership • JDM is the author or co-author of – 5 most cited books – Many best selling textbooks – Usually one of the first textbooks in a particular topic/field – “Model” textbooks for other textbook writers to follow

When did I meet with JDU the First Time? • ? ? ? •

When did I meet with JDU the First Time? • ? ? ? • Need the help from Dave Maier and Alberto Mendelzon (two great historians) to dig out old historical data and compare notes. • Between 1974 to 1978, there was a DB workshop at Bell Lab. – JDM was there – Al Aho was there, too (? )

Reasons Why I am here • As a member of DB Community • As

Reasons Why I am here • As a member of DB Community • As a person who have been benefited from his book leadership – Jeff’s book on “Principles of Database Systems, ” is probably the first book starting with the ER Model first – Other DB textbooks follow

Conclusions (1) • JDM has made very significant impact in computer science – Ranked

Conclusions (1) • JDM has made very significant impact in computer science – Ranked No. 2 in total citations – 5 Most cited books and articles in top-200 cited publications – Best-Selling Book Author – One of the largest and most “productive” academic family tree • The DB community (particularly myself) has been benefited from JDU • Today, we pay tribute to him (to make an acyclic graph to a cyclic graph

Conclusions (2) • The DB community (particularly myself) has been benefited from JDU •

Conclusions (2) • The DB community (particularly myself) has been benefited from JDU • Today, we pay tribute to him (to make an acyclic graph to a cyclic graph)

Conclusions (3) • We are here today to say to one of the greatest

Conclusions (3) • We are here today to say to one of the greatest computer Scientists: “Dr. Jeff D. Ullman, Thank You!”