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International Journal of Experimental Algorithms (IJEA)
An International peer-review journal operated under CSC-OpenAccess Policy.
ISSN - 2180-1282
Published - Bi-Monthly   |   Established -    |   Year of Publication - 2018

SUBMISSION
November 30, 2018

NOTIFICATION
December 31, 2018

PUBLICATION
January 31, 2019

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CITATION ANALYSIS

IJEA Citation Impact
(27 - 0) / 18 = 1.500

Refer to Citation Report for 2018 for complete details.
 

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IJEA EDITORIAL BOARD MEMBER

Professor David Olson
University of Nebraska - United States of America
Contact Details
Email - david.olson@unl.edu
3300 Sheridan Court Lincoln, NE 68506
United States of America

ABOUT Professor David Olson

David L. Olson is the James & H.K. Stuart Professor in MIS and Chancellorís Professor at the University of Nebraska. He has published research in over 150 refereed journal articles, primarily on the topic of multiple objective decision-making, information technology, supply chain risk management, and data mining.

Dr. Olson teaches in the management information systems, management science, and operations management areas. He has authored over 20 books, to include Decision Aids for Selection Problems, Introduction to Information Systems Project Management, Managerial Issues of Enterprise Resource Planning Systems, Supply Chain Risk Management, and Supply Chain Information Technology. Additionally, he has co-authored the books Introduction to Business Data Mining, Enterprise Risk Management, Advanced Data Mining Techniques, Enterprise Information Systems, Enterprise Risk Management Models, and Financial Enterprise Risk Management. He has served as associate editor of Service Business, Decision Support Systems, and Decision Sciences and co-editor in chief of International Journal of Services Sciences.

Dr. Olson has made over 200 presentations at international and national conferences on research topics. He is a member of the Decision Sciences Institute, the Institute for Operations Research and Management Sciences, and the Multiple Criteria Decision Making Society. He was a Lowry Mays endowed Professor at Texas A&M University from 1999 to 2001. He was named the Raymond E. Miles Distinguished Scholar award for 2002, and was a James C. and Rhonda Seacrest Fellow from 2005 to 2006. He was named Best Enterprise Information Systems Educator by IFIP in 2006. He is a Fellow of the Decision Sciences Institute.

Selected Books
D.L. Olson & J.F. Courtney, Jr., Decision Support Models and Expert Systems (Macmillan, 1992).
D.L. Olson, Decision Aids for Selection Problems (Springer-Verlag, 1996).
S.M. Lee & D.L. Olson, Introduction to Management Science (DAME, 1997).
J.R. Evans & D.L. Olson, Introduction to Simulation and Risk Analysis (Prentice-Hall, 1998; 2nd ed 2001).
S.M. Lee, M.J. Schniederjans & D.L. Olson, Business Statistics: Quality Information for Decision Analysis (DAME, 1998).
J.R. Evans & D.L. Olson, Statistics, Data Analysis, and Decision Modeling (Prentice Hall, 2000; 2nd ed. 2003).
D.L. Olson, Introduction to Information Systems Project Management (Irwin/McGraw-Hill, 2001).
O.I. Larichev & D.L. Olson, Multiple Criteria Analysis in Strategic Siting Problems (Kluwer: New York, 2001).
D.L. Olson, Introduction to Information Systems Project Management 2nd ed (Irwin/McGraw-Hill, 2004).
D.L. Olson, Managerial Issues of Enterprise Resource Planning Systems (Irwin/McGraw-Hill, 2004).
J.R. Evans & D.L. Olson, Simulation and Risk Analysis (Prentice-Hall Custom, 2005).
D.L. Olson & Yong Shi, Introduction to Business Data Mining (Irwin/McGraw-Hill, 2006).
D.L. Olson & D. Wu, Enterprise Risk Management. Singapore: World Scientific, 2008.
D.L. Olson & D. Delen, Advanced Data Mining Techniques. Heidelberg: Springer, 2008.

Professor David Olson handles review of manuscripts that are submitted under the following topics.

  • Routing and Scheduling
  • Analysis of Algorithms
  • Approximation Techniques
  • Experimental Techniques and Statistics
  • Randomized Techniques in Algorithms