Amy N. Langville
- Computational Mathematics top 1%
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques 4
- Signal Processing top 1%
- Data Management and Algorithms 9
- Information Systems top 1%
- Web Data Mining and Analysis 7
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- Matrix Theory and Algorithms 4
- semigroups and automata theory 2
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- Sports Analytics and Performance 4
- Game Theory and Voting Systems 3
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- Game Theory and Applications 3
- Co-authors
- Carl D. MeyerMichael W. BerryRobert J. PlemmonsV. Paúl PaucaMurray BrowneWilliam J. StewartValeriy NaumovГ. П. Башарин
- Journals
- Optimization and Engineering (3 papers)Journal of Quantitative Analysis in Sports (2 papers)Journal of Computational and Applied Mathematics (2 papers)
- Partner nations
- United StatesFinlandJapan
In The Last Decade
Amy N. Langville
37 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Computational Mathematics 114
- Statistical and Nonlinear Physics 995
- Signal Processing 472
- Information Systems 771
- Computational Theory and Mathematics 470
Countries citing papers authored by Amy N. Langville
This map shows the geographic impact of Amy N. Langville'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 Amy N. Langville with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy N. Langville more than expected).
Fields of papers citing papers by Amy N. Langville
This network shows the impact of papers produced by Amy N. Langville. 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 Amy N. Langville. The network helps show where Amy N. Langville may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Amy N. Langville, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 7 | |
| 4 | 2021 | 5 | |
| 5 | 2019 | 9 | |
| 6 | 2013 | 5 | |
| 7 | 2012 | 3 | |
| 8 | Who's #1? Why rankings are flawed. | 2012 | 1 |
| 9 | 2011 | 28 | |
| 10 | 2011 | 1 | |
| 11 | 2009 | 21 | |
| 12 | 2006 | 447 | |
| 13 | 2006 | 57 | |
| 14 | Google's PageRank and Beyond: The Science of Search Engine Rankingsbreakdown → | 2006 | 739 |
| 15 | 2004 | 6 | |
| 16 | 2004 | 173 | |
| 17 | 2004 | 84 | |
| 18 | 2004 | 5 | |
| 19 | 2004 | 33 | |
| 20 | 2002 | 4 |
About Amy N. Langville
Amy N. Langville is a scholar working on Computational Mathematics, Signal Processing and Computational Theory and Mathematics, having authored 37 papers that have together received 3.8k indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Web Data Mining and Analysis (7 papers), Complex Network Analysis Techniques (4 papers), Sports Analytics and Performance (4 papers), Matrix Theory and Algorithms (4 papers), Game Theory and Applications (3 papers), Game Theory and Voting Systems (3 papers) and semigroups and automata theory (2 papers). The work is most often cited by research in Computational Mathematics (114 citations), Statistical and Nonlinear Physics (995 citations) and Signal Processing (472 citations). Amy N. Langville has collaborated with scholars based in United States, Finland and Japan. Frequent co-authors include Carl D. Meyer, Michael W. Berry, Robert J. Plemmons, V. Paúl Pauca, Murray Browne, William J. Stewart, Valeriy Naumov, Г. П. Башарин, Thomas Nadelhoffer and Jennifer Cole Wright. Their work appears in journals such as Optimization and Engineering, Journal of Quantitative Analysis in Sports, Journal of Computational and Applied Mathematics, SIAM Journal on Scientific Computing and The Journal of Positive Psychology.
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.