Steve Lawrence

15.9k total citations · 6 hit papers
65 papers, 8.7k citations indexed

About

Steve Lawrence is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Steve Lawrence has authored 65 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 31 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Steve Lawrence's work include Web Data Mining and Analysis (23 papers), Neural Networks and Applications (9 papers) and Information Retrieval and Search Behavior (7 papers). Steve Lawrence is often cited by papers focused on Web Data Mining and Analysis (23 papers), Neural Networks and Applications (9 papers) and Information Retrieval and Search Behavior (7 papers). Steve Lawrence collaborates with scholars based in United States, Australia and Italy. Steve Lawrence's co-authors include C. Lee Giles, David M. Pennock, Kushal Dave, Gary William Flake, Kurt Bollacker, Ah Chung Tsoi, Rich Caruana, Eric J. Glover, Jon Kleinberg and Frans Coetzee and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Steve Lawrence

62 papers receiving 7.7k citations

Hit Papers

Mining the peanut gallery 1998 2026 2007 2016 2003 1999 1998 1998 2000 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Lawrence United States 37 4.2k 3.8k 1.5k 1.2k 918 65 8.7k
Wei Wang China 52 3.2k 0.8× 2.1k 0.6× 805 0.5× 1.4k 1.2× 977 1.1× 735 11.6k
Foster Provost United States 48 7.0k 1.7× 2.8k 0.7× 557 0.4× 863 0.7× 795 0.9× 172 12.1k
Aixin Sun Singapore 45 4.9k 1.2× 3.7k 1.0× 1.1k 0.7× 836 0.7× 854 0.9× 223 8.7k
Prasenjit Mitra United States 39 3.4k 0.8× 2.0k 0.5× 786 0.5× 722 0.6× 497 0.5× 234 5.8k
Hiroshi Motoda Japan 25 4.4k 1.0× 2.1k 0.6× 756 0.5× 815 0.7× 911 1.0× 145 8.9k
Lise Getoor United States 48 6.2k 1.5× 2.0k 0.5× 2.2k 1.5× 1.3k 1.1× 973 1.1× 234 9.0k
Xia Hu United States 46 5.6k 1.3× 2.6k 0.7× 1.4k 0.9× 1.0k 0.9× 615 0.7× 237 9.6k
Xueqi Cheng China 52 7.2k 1.7× 3.4k 0.9× 2.5k 1.7× 1.3k 1.1× 696 0.8× 517 11.6k
Richard A. Harshman Canada 28 6.3k 1.5× 2.6k 0.7× 666 0.4× 750 0.6× 2.0k 2.2× 56 12.7k
Yizhou Sun United States 44 7.2k 1.7× 3.6k 0.9× 3.5k 2.4× 1.6k 1.4× 797 0.9× 206 10.5k

Countries citing papers authored by Steve Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by Steve Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Lawrence

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Lawrence. A scholar is included among the top collaborators of Steve Lawrence 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 Steve Lawrence. Steve Lawrence 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.
Lawrence, Steve, et al.. (2012). ENHANCING SEAMLESS DATA TRANSFER WITHIN COMPLEX MESH ENVIRONMENTS WITH SECURE AGENTS. 187–198.
2.
Debnath, Sandip, et al.. (2003). Information incorporation in online in-Game sports betting markets. 2 indexed citations
3.
Ambuel, Bruce, et al.. (2003). Female and Male Medical Students’ Exposure to Violence: Impact on Well Being and Perceived Capacity to Help Battered Women. Journal of Comparative Family Studies. 34(1). 113–135. 17 indexed citations
4.
Whitman, Brian & Steve Lawrence. (2002). Inferring Descriptions and Similarity for Music from Community Metadata. The Journal of the Abraham Lincoln Association. 2002. 79 indexed citations
5.
Berenzweig, Adam, Daniel P. W. Ellis, & Steve Lawrence. (2002). Using Voice Segments to Improve Artist Classification of Music. Columbia Academic Commons (Columbia University). 1–8. 67 indexed citations
6.
Ellis, Daniel P. W., Brian Whitman, Adam Berenzweig, & Steve Lawrence. (2002). The Quest for Ground Truth in Musical Artist Similarity. Columbia Academic Commons (Columbia University). 170–177. 105 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.
Goodrum, Abby, Katherine W. McCain, Steve Lawrence, & C. Lee Giles. (2001). Scholarly publishing in the Internet age: a citation analysis of computer science literature. Information Processing & Management. 37(5). 661–675. 151 indexed citations
9.
Caruana, Rich, Steve Lawrence, & C. Lee Giles. (2000). Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping. Neural Information Processing Systems. 13. 402–408. 586 indexed citations breakdown →
10.
Lawrence, Steve. (2000). Context in Web Search.. IEEE Data(base) Engineering Bulletin. 23. 25–32. 145 indexed citations
11.
Diligenti, Michelangelo, Frans Coetzee, Steve Lawrence, C. Lee Giles, & Marco Gori. (2000). Focused Crawling Using Context Graphs. Very Large Data Bases. 527–534. 330 indexed citations
12.
Lawrence, Steve & C. Lee Giles. (1999). Text and Image Metasearch on the Web.. Parallel and Distributed Processing Techniques and Applications. 829–835. 5 indexed citations
13.
Lawrence, Steve & C. Lee Giles. (1998). Inquirus, the NECI meta search engine. 2 indexed citations
14.
Giles, C. Lee, et al.. (1998). Access to Information on the Web. Science. 280(5371). 1815–1815. 3 indexed citations
15.
Giles, C. Lee, Kurt Bollacker, & Steve Lawrence. (1998). CiteSeer. 89–98. 620 indexed citations breakdown →
16.
Lawrence, Steve, C. Lee Giles, & Sandiway Fong. (1998). On the Applicability of Neural Network and Machine Learning Methodologies to Natural Language Processing. Digital Repository at the University of Maryland (University of Maryland College Park). 5 indexed citations
17.
Giles, C. Lee & Steve Lawrence. (1997). Presenting and analyzing the results of ai experiments: data averaging and data snooping. National Conference on Artificial Intelligence. 362–367. 3 indexed citations
18.
Lawrence, Steve, C. Lee Giles, & Ah Chung Tsoi. (1997). Lessons in neural network training: overfitting may be harder than expected. National Conference on Artificial Intelligence. 540–545. 170 indexed citations
19.
Lawrence, Steve, et al.. (1996). A Site Survey of Masonry Bond Strength. 38. 103–109. 9 indexed citations
20.
Lawrence, Steve, Ah Chung Tsoi, & Andrew D. Back. (1995). The Gamma MLP for Speech Phoneme Recognition. Neural Information Processing Systems. 8. 785–791. 9 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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