Daniel H. Ullman

921 citations
40 papers · 510 · h-index 9

Impact in

Papers in

Daniel H. Ullman

23 papers receiving 459 citations

Peers

Daniel H. Ullman
Comparison fields: 5 of 60
  • Discrete Mathematics and Combinatorics 176
  • Computational Theory and Mathematics 289
  • Geometry and Topology 110
  • Algebra and Number Theory 46
  • Statistics and Probability 33
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Steve Butler United States
Ryan R. Martin United States
Hortensia Galeana‐Sánchez Mexico
Neil J. Calkin United States
Svante Linusson Sweden
Vadim E. Levit Israel
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Citations per year

Countries citing papers authored by Daniel H. Ullman

Since Specialization
Citations

This map shows the geographic impact of Daniel H. Ullman'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 Daniel H. Ullman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel H. Ullman more than expected).

Fields of papers citing papers by Daniel H. Ullman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel H. Ullman. 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 Daniel H. Ullman. The network helps show where Daniel H. Ullman may publish in the future.

Co-authors

The 17 scholars most cited alongside Daniel H. Ullman, 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 Daniel H. Ullman Line = papers co-authored together Daniel H. Ullman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fractional Graph Theory: A Rational Approach to the Theory of Graphs
1997185
2 199193
3 199565
4 199432
5 199328
6 199927
7
Richman games
199514
8 201012
9 19939
10 20028
11 19875
12 19925
13 19924
14 20164
15 20163
16 19823
17 20173
18 19952
19 19882
20 19922

About Daniel H. Ullman

Daniel H. Ullman is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Geometry and Topology, Electrical and Electronic Engineering and Artificial Intelligence, having authored 40 papers that have together received 510 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (9 papers), Graph Labeling and Dimension Problems (5 papers), Mathematics and Applications (3 papers), Limits and Structures in Graph Theory (3 papers), graph theory and CDMA systems (3 papers), Artificial Intelligence in Games (2 papers), Game Theory and Applications (2 papers) and Graph theory and applications (2 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (176 citations), Computational Theory and Mathematics (289 citations), Geometry and Topology (110 citations), Algebra and Number Theory (46 citations) and Statistics and Probability (33 citations). Daniel H. Ullman has collaborated with scholars based in United States, Israel and Qatar. Frequent co-authors include Edward R. Scheinerman, Rodica Simion, James Propp, Michael Larsen, Motakuri V. Ramana, Walter Stromquist, Aviezri S. Fraenkel, Daniel E. Loeb, Bertram F. Malle and Robin Pemantle. Their work appears in journals such as Journal of Graph Theory, American Mathematical Monthly, Discrete Mathematics, Theoretical Computer Science and SIAM Journal on Discrete Mathematics.

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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