Alex Pothen

5.6k total citations · 1 hit paper
87 papers, 3.0k citations indexed

About

Alex Pothen is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alex Pothen has authored 87 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computational Theory and Mathematics, 29 papers in Computer Networks and Communications and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alex Pothen's work include Matrix Theory and Algorithms (21 papers), Advanced Graph Theory Research (19 papers) and Graph Theory and Algorithms (16 papers). Alex Pothen is often cited by papers focused on Matrix Theory and Algorithms (21 papers), Advanced Graph Theory Research (19 papers) and Graph Theory and Algorithms (16 papers). Alex Pothen collaborates with scholars based in United States, Norway and Canada. Alex Pothen's 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 and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Power Systems and ACM Transactions on Graphics.

In The Last Decade

Alex Pothen

83 papers receiving 2.7k citations

Hit Papers

Partitioning Sparse Matrices with Eigenvectors of Graphs 1990 2026 2002 2014 1990 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alex Pothen United States 25 1.0k 710 546 472 445 87 3.0k
Shang‐Hua Teng United States 37 1.4k 1.4× 1.3k 1.8× 525 1.0× 532 1.1× 1.2k 2.6× 154 4.9k
Bruce Hendrickson United States 31 801 0.8× 1.9k 2.6× 1.0k 1.8× 413 0.9× 668 1.5× 84 4.5k
Kyle A. Gallivan United States 32 713 0.7× 793 1.1× 571 1.0× 882 1.9× 476 1.1× 147 3.5k
Antoine Girard France 29 1.9k 1.8× 1.3k 1.8× 354 0.6× 304 0.6× 565 1.3× 117 4.6k
Victor Y. Pan United States 36 3.3k 3.2× 473 0.7× 569 1.0× 157 0.3× 1.0k 2.3× 261 5.3k
Kurt Mehlhorn Germany 41 1.9k 1.8× 1.5k 2.1× 628 1.2× 215 0.5× 1.7k 3.9× 273 5.6k
Ahmed Sameh United States 34 1.4k 1.3× 977 1.4× 490 0.9× 247 0.5× 377 0.8× 174 3.3k
Donald J. Rose United States 34 1.9k 1.8× 530 0.7× 1.3k 2.4× 177 0.4× 283 0.6× 74 4.6k
R. Brockett United States 37 936 0.9× 1.6k 2.3× 326 0.6× 821 1.7× 654 1.5× 118 8.3k
Seung-Jean Kim United States 18 279 0.3× 1.1k 1.6× 1.1k 2.0× 175 0.4× 740 1.7× 35 4.8k

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-authorship network of co-authors of Alex Pothen

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Pothen. A scholar is included among the top collaborators of Alex Pothen 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 Alex Pothen. Alex Pothen 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
1.
Pothen, Alex, et al.. (2023). Dynamic Asset Allocation with Expected Shortfall via Quantum Annealing. Entropy. 25(3). 541–541. 4 indexed citations
2.
Biscola, Natália P., Deborah Jaffey, Leif A. Havton, et al.. (2023). A novel statistical methodology for quantifying the spatial arrangements of axons in peripheral nerves. Frontiers in Neuroscience. 17. 1072779–1072779. 1 indexed citations
3.
Azad, Ariful, Bartek Rajwa, & Alex Pothen. (2016). Immunophenotype Discovery, Hierarchical Organization, and Template-Based Classification of Flow Cytometry Samples. Frontiers in Oncology. 6. 188–188. 10 indexed citations
4.
Azad, Ariful, Bartek Rajwa, & Alex Pothen. (2016). flowVS: channel-specific variance stabilization in flow cytometry. BMC Bioinformatics. 17(1). 291–291. 20 indexed citations
5.
Khan, Arif, David F. Gleich, Alex Pothen, & Mahantesh Halappanavar. (2012). A multithreaded algorithm for network alignment via approximate matching. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–11. 14 indexed citations
6.
Azad, Ariful, Saumyadipta Pyne, & Alex Pothen. (2012). Matching phosphorylation response patterns of antigen-receptor-stimulated T cells via flow cytometry. BMC Bioinformatics. 13(S2). S10–S10. 15 indexed citations
7.
Azad, Ariful & Alex Pothen. (2012). Multithreaded Algorithms for Matching in Graphs with Application to Data Analysis in Flow Cytometry. 2494–2497. 4 indexed citations
8.
Ward, Michael D., Xin Guo, Adam Sawyer, et al.. (2008). Physical and in silico approaches identify DNA-PK in a Tax DNA-damage response interactome. Retrovirology. 5(1). 92–92. 16 indexed citations
9.
Wagner, Michael, Dayanand N. Naik, Alex Pothen, et al.. (2004). Computational protein biomarker prediction: a case study for prostate cancer. BMC Bioinformatics. 5(1). 26–26. 72 indexed citations
10.
Wagner, Michael, Dayanand N. Naik, & Alex Pothen. (2003). Protocols for disease classification from mass spectrometry data. PROTEOMICS. 3(9). 1692–1698. 90 indexed citations
11.
Gebremedhin, Assefaw H., Fredrik Manne, & Alex Pothen. (2002). Graph Coloring in Optimization Revisited. 1 indexed citations
12.
Hysom, David & Alex Pothen. (2000). Parallel ILU Ordering and Convergence Relationships: Numerical Experiments. Defense Technical Information Center (DTIC). 90(1). 74–84. 1 indexed citations
13.
Pothen, Alex, et al.. (1997). Preface and conference report. Linear Algebra and its Applications. 254(1-3). 1–5. 1 indexed citations
14.
Pothen, Alex, et al.. (1994). Parallel Sparse Cholesky Factorization with Spectral Nested Dissection Ordering. NASA Technical Reports Server (NASA). 4 indexed citations
15.
Pothen, Alex. (1993). Predicting the structure of sparse orthogonal factors. Linear Algebra and its Applications. 194. 183–203. 9 indexed citations
16.
Pothen, Alex, et al.. (1992). Towards a fast implementation of spectral nested dissection. Conference on High Performance Computing (Supercomputing). 42–51. 32 indexed citations
17.
Pothen, Alex, et al.. (1991). Distributed Multifrontal Factorization Using Clique Trees. 34–40. 10 indexed citations
18.
Pothen, Alex, Horst D. Simon, & K. N. Liou. (1990). Partitioning Sparse Matrices with Eigenvectors of Graphs. SIAM Journal on Matrix Analysis and Applications. 11(3). 430–452. 1040 indexed citations breakdown →
19.
Pothen, Alex & Padma Raghavan. (1989). Distributed Orthogonal Factorization: Givens and Householder Algorithms. SIAM Journal on Scientific and Statistical Computing. 10(6). 1113–1134. 38 indexed citations
20.
Coleman, Thomas F. & Alex Pothen. (1984). The Sparse Null Space Basis Problem. eCommons (Cornell University). 3 indexed citations

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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