Split Strategies
Split Strategies is a methodological framework within the divide and conquer paradigm that systematically determines how a computational problem is partitioned into smaller, more manageable subproblems based on specific structural, algorithmic, or data-driven criteria.
39
Publications
2.4K
Citations
95
Authors
63
Institutions
Publications per year
2017–2026
8
Parents
39
Stock Splits and Stock Dividends: Why, Who, and When
Josef Lakonishok, Baruch Lev · The Journal of Finance · 1987 · 445 citations
Testing strategies in multi-dose experiments including active control
Péter Bauer, Joachim Röhmel, Willi Maurer et al. · Statistics in Medicine · 1998 · 165 citations
Stock Splits and Stock Dividends: Why, Who, and When
Josef Lakonishok, Baruch Lev · The Journal of Finance · 1987 · 134 citations
1–5 of 39
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University of Illinois Urbana-Champaign, United States
2 publications · 94 citations
2
h-index
1–5 of 95
63
Tsinghua University
Beijing, China
3 h-index
11 publications
1.9K citations

Sapienza University of Rome
Rome, Italy
2 h-index
3 publications
59 citations
Harvard University
Cambridge, United States
2 h-index
4 publications
188 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
139 citations

Howard Hughes Medical Institute
Chevy Chase, United States
2 h-index
4 publications
188 citations

European University Viadrina
Frankfurt, Germany
2 h-index
2 publications
130 citations
Information Technology University
Lahore, Pakistan
1 h-index
4 publications
92 citations
Princeton University
Princeton, United States
1 h-index
1 publications
46 citations
1–8 of 63
2 publications · 484 citations
2
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2 publications · 130 citations
2
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2 publications · 579 citations
2
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1 publications · 13 citations
1
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AJP · 1 publications · 13 citations
1
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