Richard D. Lawrence

2.1k total citations
45 papers, 1.4k citations indexed

About

Richard D. Lawrence is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Richard D. Lawrence has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Richard D. Lawrence's work include Text and Document Classification Technologies (8 papers), Machine Learning and Algorithms (5 papers) and Image Retrieval and Classification Techniques (4 papers). Richard D. Lawrence is often cited by papers focused on Text and Document Classification Technologies (8 papers), Machine Learning and Algorithms (5 papers) and Image Retrieval and Classification Techniques (4 papers). Richard D. Lawrence collaborates with scholars based in United States, Israel and United Kingdom. Richard D. Lawrence's co-authors include Prem Melville, Wojciech Gryc, George Almási, Jingrui He, Vladimir Kotlyar, Sastry Duri, Marisa Viveros, Holly Rushmeier, Yan Liu and Dan Zhang and has published in prestigious journals such as The Lancet, Chemical Research in Toxicology and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Richard D. Lawrence

45 papers receiving 1.3k citations

Peers

Richard D. Lawrence

CVPR

CNC

MARKE

Arnold Adimabua Ojugo Nigeria

Athanasios Tsakalidis Greece

Nívio Ziviani Brazil

Dan Sommerfield United States

Sebastian Schelter Netherlands

William Yurcik United States

Vijay K. Vaishnavi United States

Fethi Rabhi Australia

Mehmet S. Aktaş Türkiye

Arnold Adimabua Ojugo Nigeria

Richard D. Lawrence

451 ×0.7

428 ×1.3

88 ×0.5

CVPR

284 ×1.8

CNC

108 ×1.0

MARKE

Citations per year, relative to Richard D. Lawrence Richard D. Lawrence (= 1×) peers Arnold Adimabua Ojugo

Countries citing papers authored by Richard D. Lawrence

Since Specialization

Citations

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

Fields of papers citing papers by Richard D. Lawrence

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard D. Lawrence

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

All Works

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20 of 20 papers shown

Zhang, Dan, Jingrui He, & Richard D. Lawrence. (2013). MI2LS. 149–157. 27 indexed citations

Zhang, Dan, Jingrui He, Luo Si, & Richard D. Lawrence. (2013). MILEAGE: Multiple Instance LEArning with Global Embedding. 82–90. 11 indexed citations

Kasiviswanathan, Shiva Prasad, Guojing Cong, Prem Melville, & Richard D. Lawrence. (2013). Novel document detection for massive data streams using distributed dictionary learning. IBM Journal of Research and Development. 57(3/4). 9:1–9:15. 4 indexed citations

Lerner, E. Brooke, Jeremy T. Cushman, Alan Blatt, et al.. (2011). EMS Provider Assessment of Vehicle Damage Compared with Assessment by a Professional Crash Reconstructionist. Prehospital Emergency Care. 15(4). 483–489. 5 indexed citations

Zhang, Dan, Yan Liu, Luo Si, Jian Zhang, & Richard D. Lawrence. (2011). Multiple Instance Learning on Structured Data. Neural Information Processing Systems. 24. 145–153. 30 indexed citations

Chenthamarakshan, Vijil, Prem Melville, Vikas Sindhwani, & Richard D. Lawrence. (2011). Concept labeling: building text classifiers with minimal supervision. 1225–1230. 15 indexed citations

Zhang, Dan, Yan Liu, Richard D. Lawrence, & Vijil Chenthamarakshan. (2010). ALPOS: A Machine Learning Approach for Analyzing Microblogging Data. 19. 1265–1272. 4 indexed citations

He, Jingrui, Yan Liu, & Richard D. Lawrence. (2009). Graph-based transfer learning. 937–946. 17 indexed citations

Zottola, Mark A., et al.. (2009). Disulfides as Cyanide Antidotes: Evidence for a New In Vivo Oxidative Pathway for Cyanide Detoxification. Chemical Research in Toxicology. 22(12). 1948–1953. 15 indexed citations

10.

Sindhwani, Vikas, Prem Melville, & Richard D. Lawrence. (2009). Uncertainty sampling and transductive experimental design for active dual supervision. 953–960. 39 indexed citations

11.

He, Jingrui, et al.. (2008). Graph-Based Rare Category Detection. 833–838. 34 indexed citations

12.

Lawrence, Richard D., et al.. (2007). Analytics-driven solutions for customer targeting and sales-force allocation. IBM Systems Journal. 46(4). 797–816. 18 indexed citations

13.

Lawrence, Richard D.. (2004). Running Massively Multiplayer Games as a Business.. Networked Systems Design and Implementation. 35(3). 187–94. 3 indexed citations

14.

Lawrence, Richard D.. (2004). Teaching Data Structures Using Competitive Games. IEEE Transactions on Education. 47(4). 459–466. 110 indexed citations

15.

Rushmeier, Holly, Richard D. Lawrence, & George Almási. (1997). Visualizing customer segmentations produce by self organizing maps (case study). IEEE Visualization. 463–466. 6 indexed citations

16.

Agarwal, R. C., Bowen Alpern, L. Carter, et al.. (1995). High-performance parallel implementations of the NAS kernel benchmarks on the IBM SP2. IBM Systems Journal. 34(2). 263–272. 11 indexed citations

17.

Schmidt, Eric, et al.. (1981). Amygdalin toxicity studies in rats predict chronic cyanide poisoning in humans.. PubMed. 134(2). 97–103. 43 indexed citations

18.

Lawrence, Richard D., et al.. (1974). U. S. Force Structure in NATO: An Alternative. The Western Political Quarterly. 27(4). 780–780. 4 indexed citations

19.

Lawrence, Richard D.. (1968). A study of quasi-analytic models for improvement of the military commander's tactical decision process /. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations

20.

Lawrence, Richard D.. (1957). PREVENTION OF MATERNAL DEATHS. The Lancet. 270(6996). 644–644. 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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