Lawrence W. Lass

867 total citations
20 papers, 687 citations indexed

About

Lawrence W. Lass is a scholar working on Ecology, Ecological Modeling and Plant Science. According to data from OpenAlex, Lawrence W. Lass has authored 20 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 7 papers in Ecological Modeling and 7 papers in Plant Science. Recurrent topics in Lawrence W. Lass's work include Remote Sensing in Agriculture (10 papers), Species Distribution and Climate Change (7 papers) and Rangeland and Wildlife Management (6 papers). Lawrence W. Lass is often cited by papers focused on Remote Sensing in Agriculture (10 papers), Species Distribution and Climate Change (7 papers) and Rangeland and Wildlife Management (6 papers). Lawrence W. Lass collaborates with scholars based in United States. Lawrence W. Lass's co-authors include Timothy S. Prather, R. H. Callihan, Nancy F. Glenn, K. T. Weber, Donald C. Thill, Bahman Shafii, William J. Price, Carol Mallory‐Smith, D. O. Everson and Stephen P. Cook and has published in prestigious journals such as Remote Sensing of Environment, Weed Science and Journal of the American Society for Horticultural Science.

In The Last Decade

Lawrence W. Lass

19 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lawrence W. Lass United States 12 505 259 173 121 116 20 687
Gerald L. Anderson United States 15 669 1.3× 179 0.7× 145 0.8× 130 1.1× 228 2.0× 26 886
Karen Castro-Esau Canada 7 399 0.8× 155 0.6× 110 0.6× 107 0.9× 122 1.1× 8 520
Wai‐Tim Ng Austria 13 462 0.9× 143 0.6× 148 0.9× 101 0.8× 228 2.0× 16 705
Jennifer Pontius United States 15 660 1.3× 218 0.8× 197 1.1× 66 0.5× 462 4.0× 26 1.1k
G. L. Anderson United States 9 278 0.6× 69 0.3× 107 0.6× 28 0.2× 117 1.0× 17 409
Dominik Kopeć Poland 15 302 0.6× 82 0.3× 138 0.8× 34 0.3× 142 1.2× 41 513
Lucie Homolová Czechia 16 962 1.9× 250 1.0× 323 1.9× 58 0.5× 505 4.4× 45 1.2k
Michèle R. Slaton United States 11 382 0.8× 78 0.3× 271 1.6× 23 0.2× 263 2.3× 23 697
Carol X. Garzón‐López Italy 17 405 0.8× 246 0.9× 127 0.7× 44 0.4× 240 2.1× 30 794
Javier Lopatin Chile 12 564 1.1× 251 1.0× 102 0.6× 40 0.3× 274 2.4× 26 801

Countries citing papers authored by Lawrence W. Lass

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence W. Lass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence W. Lass

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence W. Lass. A scholar is included among the top collaborators of Lawrence W. Lass 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 Lawrence W. Lass. Lawrence W. Lass 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.
Lass, Lawrence W., Stephen P. Cook, Bahman Shafii, & Timothy S. Prather. (2014). Development of a Dispersal Model for Balsam Woolly Adelgid,Adelges piceaeRatzeburg (Hemiptera: Adelgidae), to Facilitate Landscape-Level Management Planning. International Journal of Forestry Research. 2014. 1–8. 1 indexed citations
2.
Glenn, Nancy F., et al.. (2005). Discrimination of hoary cress and determination of its detection limits via hyperspectral image processing and accuracy assessment techniques. Remote Sensing of Environment. 96(3-4). 509–517. 78 indexed citations
3.
Glenn, Nancy F., et al.. (2005). Hyperspectral data processing for repeat detection of small infestations of leafy spurge. Remote Sensing of Environment. 95(3). 399–412. 105 indexed citations
4.
5.
Lass, Lawrence W. & Timothy S. Prather. (2004). Detecting the Locations of Brazilian Pepper Trees in the Everglades with a Hyperspectral Sensor. Weed Technology. 18(2). 437–442. 23 indexed citations
6.
Shafii, Bahman, William J. Price, Timothy S. Prather, Lawrence W. Lass, & Donald C. Thill. (2004). Using landscape characteristics as prior information for Bayesian classification of yellow starthistle. Weed Science. 52(6). 948–953. 5 indexed citations
7.
Shafii, Bahman, et al.. (2004). PREDICTION OF YELLOW STARTHISTLE SURVIVAL AND MOVEMENT OVER TIME AND SPACE. Conference on Applied Statistics in Agriculture. 1 indexed citations
8.
Shafii, Bahman, William J. Price, Timothy S. Prather, Lawrence W. Lass, & Donald C. Thill. (2003). Predicting the likelihood of yellow starthistle (Centaurea solstitialis) occurrence using landscape characteristics. Weed Science. 51(5). 748–751. 18 indexed citations
9.
Lass, Lawrence W., Donald C. Thill, Bahman Shafii, & Timothy S. Prather. (2002). Detecting Spotted Knapweed (Centaurea maculosa) with Hyperspectral Remote Sensing Technology1. Weed Technology. 16(2). 426–432. 61 indexed citations
10.
Lass, Lawrence W., Bahman Shafii, William J. Price, & Donald C. Thill. (2000). Assessing Agreement in Multispectral Images of Yellow Starthistle (Centaurea solstitialis) with Ground Truth Data Using a Bayesian Methodology1. Weed Technology. 14(3). 539–544. 21 indexed citations
11.
Shafii, Bahman, William J. Price, Lawrence W. Lass, & D. C. Thill. (1999). ESTIMATING THE LIKELIHOOD OF YELLOW STARTHISTLE OCCURRENCE USING AN EMPIRICALLY DERIVED NONLINEAR REGRESSION MODEL. Conference on Applied Statistics in Agriculture.
12.
Price, William J., Bahman Shafii, Lawrence W. Lass, & Donald C. Thill. (1998). ASSESSING VARIABILITY OF AGREEMENT MEASURES IN REMOTE SENSING USING A BAYESIAN APPROACH. Conference on Applied Statistics in Agriculture. 3 indexed citations
13.
14.
Lass, Lawrence W., et al.. (1996). Detection of Yellow Starthistle (Centaurea solstitialis) and Common St. Johnswort (Hypericum perforatum) with Multispectral Digital Imagery. Weed Technology. 10(3). 466–474. 59 indexed citations
15.
Thill, Donald C., et al.. (1995). Plant Movement and Seed Dispersal of Russian Thistle (Salsola iberica). Weed Science. 43(1). 63–69. 41 indexed citations
16.
Lass, Lawrence W., et al.. (1995). Detection of Yellow Hawkweed (Hieracium pratense) with High Resolution Multispectral Digital Imagery. Weed Technology. 9(3). 477–483. 60 indexed citations
17.
Lass, Lawrence W., R. H. Callihan, & D. O. Everson. (1993). Forecasting the Harvest Date and Yield of Sweet Corn by Complex Regression Models. Journal of the American Society for Horticultural Science. 118(4). 450–455. 10 indexed citations
18.
Lass, Lawrence W. & R. H. Callihan. (1993). GPS and GIS for Weed Surveys and Management. Weed Technology. 7(1). 249–254. 24 indexed citations
19.
20.
Lass, Lawrence W., et al.. (1988). Spring and summer development of mayweed chamomile in association with winter rape.. 286–287. 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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