Alex Pothen

83 papers receiving 2.7k citations

Alex Pothen's Hit Papers

Partitioning Sparse Matrices with Eigenvectors of Graphs 1990 · 1.0k citations
1.0k0+12+24Years since publication2505007501000

Peers

Alex Pothen
Comparison fields: 5 of 140
  • Computational Mathematics 49
  • Computational Theory and Mathematics 1.0k
  • Hardware and Architecture 427
  • Numerical Analysis 270
  • Statistical and Nonlinear Physics 481
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Countries citing papers authored by Alex Pothen

Since Specialization
Citations

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

Fields of papers citing papers by Alex Pothen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Partitioning Sparse Matrices with Eigenvectors of Graphs
Hit paper breakdown →
19901045
2 1990216
3 2005174
4 2001102
5 198696
6 199595
7 200389
8 198772
9 200471
10 201363
11 198957
12 199750
13 201247
14 199340
15 199340
16 198938
17 200836
18 200436
19 200733
20 200532

About Alex Pothen

Alex Pothen is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Hardware and Architecture and Electrical and Electronic Engineering, having authored 87 papers that have together received 3.0k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (21 papers), Advanced Graph Theory Research (19 papers), Graph Theory and Algorithms (16 papers), Complexity and Algorithms in Graphs (16 papers), Interconnection Networks and Systems (13 papers), Parallel Computing and Optimization Techniques (11 papers), VLSI and FPGA Design Techniques (7 papers) and Single-cell and spatial transcriptomics (6 papers). The work is most often cited by research in Computational Mathematics (49 citations), Computational Theory and Mathematics (1.0k citations), Hardware and Architecture (427 citations), Numerical Analysis (270 citations) and Statistical and Nonlinear Physics (481 citations). Alex Pothen has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Horst D. Simon, K. N. Liou, Assefaw H. Gebremedhin, Thomas F. Coleman, Fredrik Manne, David Hysom, Dayanand N. Naik, Mahantesh Halappanavar, Stephen T. Barnard and Michael Wagner. Their work appears in journals such as SIAM Journal on Scientific Computing, Linear Algebra and its Applications, BMC Bioinformatics, SIAM Journal on Matrix Analysis and Applications and The International Journal of High Performance Computing Applications.

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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