Mark Haiman

3.7k citations
41 papers · 1.7k · h-index 23

Impact in

Papers in

Mark Haiman

39 papers receiving 1.4k citations

Peers

Mark Haiman
Comparison fields: 5 of 45
  • Discrete Mathematics and Combinatorics 1.2k
  • Algebra and Number Theory 768
  • Geometry and Topology 1.2k
  • Mathematical Physics 634
  • Computational Theory and Mathematics 251
Replace Hiroaki Terao with:
Hiroaki Terao Japan
Alain Lascoux France
Alexander Postnikov United States
Michelle L. Wachs United States
Francesco Brenti Italy
Victor Reiner United States
James United Kingdom
Amitai Regev Israel
I. P. Goulden Canada
Michel Brion France
Mark Haiman relative to Hiroaki Terao Japan Hiroaki Terao's profile →
Citations per field
00.5×5.3×
Hiroaki Terao · 1×
Citations per year

Countries citing papers authored by Mark Haiman

Since Specialization
Citations

This map shows the geographic impact of Mark Haiman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Haiman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Haiman more than expected).

Fields of papers citing papers by Mark Haiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Haiman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Haiman. The network helps show where Mark Haiman may publish in the future.

Co-authors

The 12 scholars most cited alongside Mark Haiman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Haiman Line = papers co-authored together Mark Haiman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001195
2 1994140
3 2005125
4 2005114
5 200299
6 199291
7 199382
8 199579
9 199870
10 200467
11 199961
12 200255
13 198942
14 200841
15 199638
16 199534
17 199134
18 198933
19 199331
20 198528

About Mark Haiman

Mark Haiman is a scholar working on Geometry and Topology, Discrete Mathematics and Combinatorics, Mathematical Physics, Algebra and Number Theory and Computational Theory and Mathematics, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Combinatorial Mathematics (28 papers), Algebraic structures and combinatorial models (22 papers), Advanced Algebra and Geometry (14 papers), Advanced Mathematical Identities (11 papers), Advanced Algebra and Logic (6 papers), Algebraic Geometry and Number Theory (4 papers), Mathematics and Applications (3 papers) and Commutative Algebra and Its Applications (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (1.2k citations), Algebra and Number Theory (768 citations), Geometry and Topology (1.2k citations), Mathematical Physics (634 citations) and Computational Theory and Mathematics (251 citations). Mark Haiman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Adriano M. Garsia, J. Haglund, Nicholas A. Loehr, Sara Billey, Bernd Sturmfels, Jeffrey B. Remmel, François Bergeron, Glenn Tesler, William A. Schmitt and Nantel Bergeron. Their work appears in journals such as Journal of the American Mathematical Society, Discrete Mathematics, Journal of Combinatorial Theory Series A, Advances in Mathematics and Transactions of the American Mathematical Society.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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