Reid Andersen

2.9k citations
27 papers · 1.3k · 1 hit paper · h-index 16

Impact in

Papers in

Reid Andersen

27 papers receiving 1.2k citations

Reid Andersen's Hit Papers

Local Graph Partitioning using PageRank Vectors 2006 · 536 citations
5360+6+13Years since publication100200300400500

Peers

Reid Andersen
Comparison fields: 5 of 89
  • Statistical and Nonlinear Physics 607
  • Artificial Intelligence 567
  • Computer Networks and Communications 371
  • Signal Processing 139
  • Information Systems 286
Replace Francesco Gullo with:
Francesco Gullo Italy
Matteo Riondato United States
C. Seshadhri United States
Atish Das Sarma United States
Marco Rosa Italy
Fragkiskos D. Malliaros France
Yixiang Fang China
Venu Satuluri United States
Pavel Berkhin United States
Kuiyu Chang Singapore
Reid Andersen relative to Francesco Gullo Italy Francesco Gullo's profile →
Citations per field
00.5×1.5×
Francesco Gullo · 1×
Citations per year

Countries citing papers authored by Reid Andersen

Since Specialization
Citations

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

Fields of papers citing papers by Reid Andersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Reid Andersen, 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 Reid Andersen Line = papers co-authored together Reid Andersen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Local Graph Partitioning using PageRank Vectors
Hit paper breakdown →
2006536
2 2008134
3 2006126
4 200956
5
Protein kinase C epsilon mediates up-regulation of N-type calcium channels by ethanol.
200051
6
An algorithm for improving graph partitions
200840
7 200740
8 200840
9 200839
10 200435
11
WebCop: locating neighborhoods of malware on the web
201031
12 200027
13 202423
14 201021
15 200920
16 200818
17 201213
18 200913
19 201610
20 20077

About Reid Andersen

Reid Andersen is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics, Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Complexity and Algorithms in Graphs (6 papers), Advanced Graph Theory Research (5 papers), Graph theory and applications (3 papers), Algorithms and Data Compression (3 papers), Spam and Phishing Detection (3 papers), VLSI and FPGA Design Techniques (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (607 citations), Artificial Intelligence (567 citations), Computer Networks and Communications (371 citations), Signal Processing (139 citations) and Information Systems (286 citations). Reid Andersen has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Kevin Lang, Fan Chung, Yuval Peres, Vahab Mirrokni, Jennifer Chayes, Christian Borgs, Kumar Chellapilla, Moshe Tennenholtz, Abraham D. Flaxman and Uriel Feige. Their work appears in journals such as Internet Mathematics, Algorithmica, Journal of the ACM, ACM Transactions on the Web and Molecular Pharmacology.

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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