Nir Halman

514 citations
35 papers · 290 · h-index 9

Impact in

Papers in

Nir Halman

31 papers receiving 258 citations

Peers

Nir Halman
Comparison fields: 5 of 43
  • Industrial and Manufacturing Engineering 129
  • Management Information Systems 77
  • Management Science and Operations Research 80
  • Computer Graphics and Computer-Aided Design 22
  • Computer Networks and Communications 98
Replace Dong X. Shaw with:
Dong X. Shaw United States
Will Ma United States
Chenchen Wu China
Vladimir Emelichev Belarus
Kavindra Malik United States
Tjark Vredeveld Netherlands
Laurent Gourvès France
Keebom Kang United States
Christian Raack Germany
Joachim Schauer Austria
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Citations per field
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Citations per year

Countries citing papers authored by Nir Halman

Since Specialization
Citations

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

Fields of papers citing papers by Nir Halman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Nir Halman, 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 Nir Halman Line = papers co-authored together Nir Halman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200960
2 201438
3 201223
4 200521
5 200716
6 200913
7 201710
8 201810
9 20079
10 20168
11 20068
12 20187
13 20187
14 20187
15 20196
16 20196
17 20216
18 20046
19
Fully Polynomial Time Approximation Schemes for Stochastic Dynamic Programs
20145
20 20154

About Nir Halman

Nir Halman is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Management Science and Operations Research and Management Information Systems, having authored 35 papers that have together received 290 indexed citations. Recurring topics across this work include Optimization and Search Problems (14 papers), Scheduling and Optimization Algorithms (9 papers), Complexity and Algorithms in Graphs (9 papers), Optimization and Packing Problems (8 papers), Supply Chain and Inventory Management (7 papers), Advanced Graph Theory Research (6 papers), Risk and Portfolio Optimization (6 papers) and Advanced Manufacturing and Logistics Optimization (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (129 citations), Management Information Systems (77 citations), Management Science and Operations Research (80 citations), Computer Graphics and Computer-Aided Design (22 citations) and Computer Networks and Communications (98 citations). Nir Halman has collaborated with scholars based in Israel, United States and Hong Kong. Frequent co-authors include David Simchi‐Levi, James B. Orlin, Diego Klabjan, Mohamed Mostagir, Chung‐Lun Li, Arie Tamir, Giacomo Nannicini, Hans Kellerer, Shmuel Onn and Uriel G. Rothblum. Their work appears in journals such as Discrete Applied Mathematics, Discrete Optimization, Optimization Letters, Algorithmica and INFORMS journal on computing.

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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