Erik Vee

1.8k citations
35 papers · 954 · h-index 19

Impact in

    • Data Management and Algorithms
    • Advanced Database Systems and Queries
    • Optimization and Search Problems
    • Peer-to-Peer Network Technologies
    • Caching and Content Delivery
    • Distributed systems and fault tolerance

Papers in

Erik Vee

33 papers receiving 891 citations

Peers

Erik Vee
Comparison fields: 5 of 68
  • Signal Processing 328
  • Computer Networks and Communications 539
  • Management Science and Operations Research 178
  • Artificial Intelligence 404
  • Marketing 106
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Citations per field
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Citations per year

Countries citing papers authored by Erik Vee

Since Specialization
Citations

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

Fields of papers citing papers by Erik Vee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Erik Vee, 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 Erik Vee Line = papers co-authored together Erik Vee 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 2004134
2 200689
3 201060
4 200958
5 200757
6 200748
7 200646
8 200843
9 200640
10 200340
11 200634
12 201233
13 200830
14 201024
15 200823
16 200622
17 200622
18 201020
19 200219
20 201016

About Erik Vee

Erik Vee is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Management Science and Operations Research and Computational Theory and Mathematics, having authored 35 papers that have together received 954 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Optimization and Search Problems (8 papers), Advanced Database Systems and Queries (8 papers), Algorithms and Data Compression (6 papers), Caching and Content Delivery (5 papers), Peer-to-Peer Network Technologies (4 papers), Consumer Market Behavior and Pricing (4 papers) and Supply Chain and Inventory Management (4 papers). The work is most often cited by research in Signal Processing (328 citations), Computer Networks and Communications (539 citations), Management Science and Operations Research (178 citations), Artificial Intelligence (404 citations) and Marketing (106 citations). Erik Vee has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Jayavel Shanmugasundaram, T. S. Jayram, Mohammad Mahdian, D. Sivakumar, Ronald Fagin, Sergei Vassilvitskii, Ravi Kumar, Valerie King, Jared Saia and Vishal Sanwalani. Their work appears in journals such as Proceedings of the VLDB Endowment, SIAM Journal on Discrete Mathematics, Journal of Combinatorial Optimization, Computational Geometry and Journal of the ACM.

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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