Steve Lawrence
Impact in
- Information Systems top 0.05%
- Web Data Mining and Analysis
- Web visibility and informetrics
- Information Retrieval and Search Behavior
- Artificial Intelligence top 0.1%
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Text and Document Classification Technologies
Papers in
-
- Neural Networks and Applications 12
- Topic Modeling 8
- Semantic Web and Ontologies 5
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- Web Data Mining and Analysis 24
- Information Retrieval and Search Behavior 7
- Web visibility and informetrics 6
- Co-authors
- C. Lee Giles (39 shared papers)David M. Pennock (16 shared papers)Kushal Dave (2 shared papers)Gary William Flake (8 shared papers)Kurt Bollacker (6 shared papers)Ah Chung Tsoi (9 shared papers)Rich Caruana (1 shared paper)Eric J. Glover (7 shared papers)
- Journals
- Science (3 papers)Machine Learning (2 papers)Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)ACM Transactions on Internet Technology (1 paper)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Steve Lawrence
68 papers receiving 9.3k citations
Steve Lawrence's Hit Papers
Peers
Comparison fields: 5 of 190
- Information Systems 4.6k
- Artificial Intelligence 5.2k
- Statistical and Nonlinear Physics 1.8k
- Signal Processing 1.1k
- Computer Networks and Communications 1.5k
Countries citing papers authored by Steve Lawrence
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
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-authors
The 25 scholars most cited alongside Steve Lawrence, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mining the peanut gallery Hit paper breakdown → | 2003 | 1544 |
| 2 | Accessibility of information on the web Hit paper breakdown → | 1999 | 1019 |
| 3 | Searching the World Wide Web Hit paper breakdown → | 1998 | 745 |
| 4 | CiteSeer Hit paper breakdown → | 1998 | 730 |
| 5 | Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping Hit paper breakdown → | 2000 | 636 |
| 6 | Efficient identification of Web communities Hit paper breakdown → | 2000 | 636 |
| 7 | Focused Crawling Using Context Graphs | 2000 | 414 |
| 8 | 2002 | 335 | |
| 9 | 2003 | 321 | |
| 10 | 2001 | 288 | |
| 11 | 2002 | 257 | |
| 12 | 1998 | 247 | |
| 13 | 2001 | 217 | |
| 14 | Proceedings of the 12th international conference on World Wide Web | 2003 | 207 |
| 15 | 2002 | 191 | |
| 16 | Context in Web Search. | 2000 | 187 |
| 17 | Lessons in neural network training: overfitting may be harder than expected | 1997 | 177 |
| 18 | 2000 | 175 | |
| 19 | 2001 | 160 | |
| 20 | What Size Neural Network Gives Optimal Generalization? Convergence Properties of Backpropagation | 1998 | 155 |
About Steve Lawrence
Steve Lawrence is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 71 papers that have together received 10.5k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (24 papers), Neural Networks and Applications (12 papers), Topic Modeling (8 papers), Information Retrieval and Search Behavior (7 papers), Web visibility and informetrics (6 papers), Face and Expression Recognition (5 papers), Semantic Web and Ontologies (5 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Information Systems (4.6k citations), Artificial Intelligence (5.2k citations), Statistical and Nonlinear Physics (1.8k citations), Signal Processing (1.1k citations) and Computer Networks and Communications (1.5k citations). Steve Lawrence has collaborated with scholars based in United States, Australia and Japan. Frequent 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. Their work appears in journals such as Science, Machine Learning, Nature, Proceedings of the National Academy of Sciences and ACM Transactions on Internet Technology.
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.