Margaret E. Lundy

1.9k total citations
13 papers, 1.3k citations indexed

About

Margaret E. Lundy is a scholar working on Signal Processing, Computational Mathematics and Artificial Intelligence. According to data from OpenAlex, Margaret E. Lundy has authored 13 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 4 papers in Computational Mathematics and 3 papers in Artificial Intelligence. Recurrent topics in Margaret E. Lundy's work include Tensor decomposition and applications (4 papers), Blind Source Separation Techniques (4 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Margaret E. Lundy is often cited by papers focused on Tensor decomposition and applications (4 papers), Blind Source Separation Techniques (4 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Margaret E. Lundy collaborates with scholars based in Canada, United Kingdom and Australia. Margaret E. Lundy's co-authors include Richard A. Harshman, A.I. Mees, Joseph B. Kruskal, Rasmus Bro, Nicholas D. Sidiropoulos, Paul E. Green, Yoram Wind, Sungjin Hong, Jacquelyn Burkell and Leora C. Swartzman and has published in prestigious journals such as The Journal of the Acoustical Society of America, Biometrika and Marketing Science.

In The Last Decade

Margaret E. Lundy

12 papers receiving 1.2k citations

Peers

Margaret E. Lundy

IME

CTM

James R. Schott United States

Dacheng Tao United Kingdom

Nicolas Gillis Belgium

K. S. Banerjee United States

João Marcos Travassos Romano Brazil

Murray Browne United States

Evrim Acar Denmark

Olivier Delalleau Canada

René Henrion Germany

James R. Schott United States

Margaret E. Lundy

24 ×0.1

346 ×1.3

28 ×0.1

IME

130 ×0.6

133 ×0.9

CTM

Citations per year, relative to Margaret E. Lundy Margaret E. Lundy (= 1×) peers James R. Schott

Countries citing papers authored by Margaret E. Lundy

Since Specialization

Citations

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

Fields of papers citing papers by Margaret E. Lundy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret E. Lundy. 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 Margaret E. Lundy. The network helps show where Margaret E. Lundy may publish in the future.

Co-authorship network of co-authors of Margaret E. Lundy

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret E. Lundy. A scholar is included among the top collaborators of Margaret E. Lundy 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 Margaret E. Lundy. Margaret E. Lundy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Lundy, Margaret E.. (2009). Richard A. Harshman (1943–2008), a man of ideas. Journal of Chemometrics. 23(7-8). 316–320.

Bro, Rasmus, Richard A. Harshman, Nicholas D. Sidiropoulos, & Margaret E. Lundy. (2009). Modeling multi‐way data with linearly dependent loadings. Journal of Chemometrics. 23(7-8). 324–340. 81 indexed citations

Harshman, Richard A., Sungjin Hong, & Margaret E. Lundy. (2003). Shifted factor analysis—Part I: Models and properties. Journal of Chemometrics. 17(7). 363–378. 44 indexed citations

Swartzman, Leora C., Richard A. Harshman, Jacquelyn Burkell, & Margaret E. Lundy. (2002). What Accounts for the Appeal of Complementary/Alternative Medicine, and What Makes Complementary/Alternative Medicine "Alternative"?. Medical Decision Making. 22(5). 431–450. 23 indexed citations

McIntyre, N. S., et al.. (1999). Application of parallel factor analysis and x-ray photoelectron spectroscopy to the initial stages in oxidation of aluminium. I. The Al 2p photoelectron line. Surface and Interface Analysis. 27(7). 618–628. 16 indexed citations

Harshman, Richard A. & Margaret E. Lundy. (1996). Uniqueness Proof for a Family of Models Sharing Features of Tucker's Three-Mode Factor Analysis and PARAFAC/Candecomp. Psychometrika. 61(1). 133–154. 79 indexed citations

Harshman, Richard A. & Margaret E. Lundy. (1994). PARAFAC: Parallel factor analysis. Computational Statistics & Data Analysis. 18(1). 39–72. 371 indexed citations

Lundy, Margaret E., et al.. (1989). A two-stage procedure incorporating good features of both trilinear and quadrilinear models. 123–130. 20 indexed citations

Kruskal, Joseph B., Richard A. Harshman, & Margaret E. Lundy. (1989). How 3-MFA data can cause degenerate parafac solutions, among other relationships. 260(5). 115–122. 59 indexed citations

10.

Lundy, Margaret E. & A.I. Mees. (1986). Convergence of an annealing algorithm. Mathematical Programming. 34(1). 111–124. 498 indexed citations

11.

Lundy, Margaret E.. (1985). Applications of the annealing algorithm to combinatorial problems in statistics. Biometrika. 72(1). 191–198. 61 indexed citations

12.

Harshman, Richard A., Paul E. Green, Yoram Wind, & Margaret E. Lundy. (1982). A Model for the Analysis of Asymmetric Data in Marketing Research. Marketing Science. 1(2). 205–242. 77 indexed citations

13.

Harshman, Richard A., Margaret E. Lundy, & Sandra Ferrari Disner. (1980). “Intelligent” (statistically-guided) algorithms for vowel normalization. The Journal of the Acoustical Society of America. 68(S1). S32–S32. 1 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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