Justin Ward

25 papers receiving 347 citations

Peers

Justin Ward
Comparison fields: 5 of 53
  • Computational Theory and Mathematics 194
  • Computer Networks and Communications 151
  • Artificial Intelligence 142
  • Computer Graphics and Computer-Aided Design 46
  • Discrete Mathematics and Combinatorics 44
Replace Volker Kaibel with:
Volker Kaibel Germany
Thomas Rothvoß United States
Giacomo Zambelli Italy
Mark Hartmann United States
Shlomi Rubinstein Israel
Yuval Filmus Israel
Pascal Schweitzer Germany
Uri N. Peled United States
Ryan Hayward Canada
Lap Chi Lau Hong Kong
Justin Ward relative to Volker Kaibel Germany Volker Kaibel's profile →
Citations per field
00.5×4.2×
Volker Kaibel · 1×
Citations per year

Countries citing papers authored by Justin Ward

Since Specialization
Citations

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

Fields of papers citing papers by Justin Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Ward. 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 Justin Ward. The network helps show where Justin Ward may publish in the future.

Co-authorship network of co-authors of Justin Ward

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Ward. A scholar is included among the top collaborators of Justin Ward based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Justin Ward. Justin Ward is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Submodular Maximization beyond Non-negativity: Guarantees, Fast Algorithms, and Applications
1
2 35
3 23
4 6
5 17
6 12
7 18
8 42
9 3
10
Tight Bounds for Submodular and Supermodular Optimization with Bounded Curvature.
2
11 5
12
Improved Approximations for k-Exchange Systems (Extended Abstract)
3
13 13
14 13
15 4
16 0
17 6
18 11
19 2
20 9

About Justin Ward

Justin Ward is a scholar working on Discrete Mathematics and Combinatorics, Algebra and Number Theory and Computational Theory and Mathematics, having authored 26 papers that have together received 366 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (13 papers), Finite Group Theory Research (7 papers) and Optimization and Search Problems (6 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (44 citations), Computer Graphics and Computer-Aided Design (46 citations) and Computational Theory and Mathematics (194 citations). Justin Ward has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Yuval Filmus, Maxim Sviridenko, Jan Vondrák, Stanislav Živný, Alina Ene, Huy L. Nguyên, Sara Ahmadian, Ola Svensson, Tzee-Char Kuo and Marek Adamczyk. Their work appears in journals such as SIAM Journal on Computing, Mathematics of Operations Research and Journal of the Mathematical Society of Japan.

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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