Gary William Flake

4.9k total citations · 2 hit papers
35 papers, 3.0k citations indexed

About

Gary William Flake is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Gary William Flake has authored 35 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Information Systems and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Gary William Flake's work include Web Data Mining and Analysis (9 papers), Complex Network Analysis Techniques (8 papers) and Neural Networks and Applications (5 papers). Gary William Flake is often cited by papers focused on Web Data Mining and Analysis (9 papers), Complex Network Analysis Techniques (8 papers) and Neural Networks and Applications (5 papers). Gary William Flake collaborates with scholars based in United States, Denmark and India. Gary William Flake's co-authors include C. Lee Giles, Steve Lawrence, Sandra Lawrence, Frans Coetzee, Eric J. Glover, David M. Pennock, Kostas Tsioutsiouliklis, Michael Frame, Robert E. Tarjan and Andries Kruger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Artificial Intelligence and Computer.

In The Last Decade

Gary William Flake

34 papers receiving 2.6k citations

Hit Papers

Self-organization and ide... 2000 2026 2008 2017 2002 2000 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Self-organization and identification of Web communities
    2002 620 citations Gary William Flake, Sandra Lawrence et al. profile →
  2. Efficient identification of Web communities
    2000 509 citations Gary William Flake, Steve Lawrence et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gary William Flake 1.2k 994 933 590 370 35 3.0k
David Gibson 714 0.6× 1.2k 1.2× 1.5k 1.6× 551 0.9× 678 1.8× 72 3.3k
Panayiotis Tsaparas 696 0.6× 1.3k 1.3× 932 1.0× 299 0.5× 399 1.1× 63 2.5k
Jennifer Neville 1.6k 1.3× 2.1k 2.1× 933 1.0× 772 1.3× 357 1.0× 120 3.6k
Raymie Stata 1.1k 0.9× 1.3k 1.3× 1.1k 1.2× 722 1.2× 214 0.6× 20 3.1k
Farzin Maghoul 1.1k 0.9× 423 0.4× 780 0.8× 474 0.8× 206 0.6× 11 2.0k
Rajan M. Lukose 716 0.6× 716 0.7× 1.0k 1.1× 1.2k 2.0× 243 0.7× 15 3.0k
Marco Saerens 809 0.7× 1.2k 1.2× 503 0.5× 252 0.4× 344 0.9× 84 2.5k
Danai Koutra 1.2k 1.0× 2.0k 2.0× 516 0.6× 793 1.3× 592 1.6× 93 3.0k
Ravi Kumar 1.1k 0.9× 1.5k 1.5× 1.5k 1.7× 921 1.6× 411 1.1× 42 3.7k
Huawei Shen 2.0k 1.7× 2.0k 2.0× 960 1.0× 513 0.9× 506 1.4× 129 3.9k

Countries citing papers authored by Gary William Flake

Since Specialization
Citations

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

Fields of papers citing papers by Gary William Flake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary William Flake. 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 Gary William Flake. The network helps show where Gary William Flake may publish in the future.

Co-authorship network of co-authors of Gary William Flake

This figure shows the co-authorship network connecting the top 25 collaborators of Gary William Flake. A scholar is included among the top collaborators of Gary William Flake 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 Gary William Flake. Gary William Flake 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.
Flake, Gary William. (2007). Support Vector Machines for Regression Problems with Sequential Minimal Optimization. 11(1). 98–105. 2 indexed citations
2.
Madani, Omid, David M. Pennock, & Gary William Flake. (2004). Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms. Neural Information Processing Systems. 17. 873–880. 12 indexed citations
3.
Flake, Gary William, David M. Pennock, & Daniel C. Fain. (2003). The Self-organized Web: The Yin to the Semantic Web's Yang. IEEE Intelligent Systems. 18(4). 8 indexed citations
4.
Heylighen, Francis, Carlos Gershenson, Gary William Flake, et al.. (2003). Neurons, viscose fluids, freshwater polyp hydra-and self-organizing information systems. IEEE Intelligent Systems. 18(4). 72–86. 48 indexed citations
5.
Flake, Gary William & Eric B. Baum. (2002). Rush Hour is PSPACE-complete, or “Why you should generously tip parking lot attendants”. Theoretical Computer Science. 270(1-2). 895–911. 40 indexed citations
6.
Glover, Eric J., Gary William Flake, Sandra Lawrence, et al.. (2002). Improving category specific Web search by learning query modifications. 23–32. 72 indexed citations
7.
Flake, Gary William, Eric J. Glover, Steve Lawrence, & C. Lee Giles. (2002). Extracting query modifications from nonlinear SVMs. 1 indexed citations
8.
Popescul, Alexandrin, Gary William Flake, Sandra Lawrence, Lyle Ungar, & C. Lee Giles. (2002). Clustering and identifying temporal trends in document databases. 173–182. 60 indexed citations
9.
Whitman, Brian, Gary William Flake, & Sandra Lawrence. (2002). Artist detection in music with Minnowmatch. 559–568. 65 indexed citations
10.
Glover, Eric J., Kostas Tsioutsiouliklis, Steve Lawrence, David M. Pennock, & Gary William Flake. (2002). Using web structure for classifying and describing web pages. 8 indexed citations
11.
Flake, Gary William & Steve Lawrence. (2002). Efficient SVM Regression Training with SMO. Machine Learning. 46(1-3). 271–290. 225 indexed citations
12.
Flake, Gary William. (2001). G.W. Flake, The Computational Beauty of Nature. Artificial Intelligence. 128(1-2). 243–244. 3 indexed citations
13.
Frame, Michael & Gary William Flake. (2000). The Computational Beauty of Nature: Computer Explorations of Fractals, Chaos, Complex Systems, and Adaptation.. American Mathematical Monthly. 107(6). 576–576. 131 indexed citations
14.
Kruger, Andries, C. Lee Giles, Frans Coetzee, et al.. (2000). DEADLINER. 272–281. 33 indexed citations
15.
Flake, Gary William & Barak A. Pearlmutter. (1999). Differentiating Functions of the Jacobian with Respect to the Weights. MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth). 12. 435–441. 3 indexed citations
16.
Flake, Gary William. (1999). Heuristics for Improving the Performance of Online SVM Training Algorithms. 1 indexed citations
17.
Flake, Gary William. (1998). The Computational Beauty of Nature. 150 indexed citations
18.
Flake, Gary William, et al.. (1993). Exploiting Chaos to Control the Future. Neural Information Processing Systems. 6. 647–654. 1 indexed citations
19.
Lee, Y. C., S.P. Qian, R.D. Jones, et al.. (1990). Adaptive stochastic cellular automata: Theory. Physica D Nonlinear Phenomena. 45(1-3). 159–180. 13 indexed citations
20.
Jones, R.D., Y.C. Lee, Cris W. Barnes, et al.. (1990). Function approximation and time series prediction with neural networks. 649–665 vol.1. 83 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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