Integer Programming

Integer Programming is a mathematical optimization paradigm within the broader field of Operations Research that distinguishes itself by requiring some or all decision variables to take integer values, thereby modeling discrete decision-making scenarios.

22.4K

Publications

1.3M

Citations

32.9K

Authors

5.1K

Institutions

Publications per year

2017–2026

5.8K

Authors

32.9K

  1. IE
    Ignacio E. Grossmann

    Carnegie Mellon University, United States

    106 publications · 9.9K citations

    59

    h-index

  2. MS
    Mohammad Shahidehpour

    Illinois Institute of Technology, United States

    62 publications · 6.9K citations

    49

    h-index

  3. LA
    Laurence A. Wolsey

    UCLouvain, Belgium

    82 publications · 12.5K citations

    47

    h-index

  4. GL
    Gilbert Laporte

    HEC Montréal, Canada

    81 publications · 7.5K citations

    46

    h-index

  5. PT
    Paolo Toth

    University of Bologna, Italy

    62 publications · 11.2K citations

    42

    h-index

1–5 of 32.9K

Venues

  1. Operations Research

    603 publications · 79.8K citations

    146

    h-index

  2. European Journal of Operational Research

    1.3K publications · 89.5K citations

    134

    h-index

  3. IEEE Transactions on Power Systems

    468 publications · 54.6K citations

    123

    h-index

  4. Mathematical Programming

    576 publications · 54.4K citations

    117

    h-index

  5. Management Science

    374 publications · 45.2K citations

    110

    h-index

1–5