Glenn Langenburg

973 total citations
23 papers, 624 citations indexed

About

Glenn Langenburg is a scholar working on Safety Research, Genetics and Signal Processing. According to data from OpenAlex, Glenn Langenburg has authored 23 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Safety Research, 10 papers in Genetics and 9 papers in Signal Processing. Recurrent topics in Glenn Langenburg's work include Forensic Fingerprint Detection Methods (14 papers), Forensic and Genetic Research (10 papers) and Biometric Identification and Security (9 papers). Glenn Langenburg is often cited by papers focused on Forensic Fingerprint Detection Methods (14 papers), Forensic and Genetic Research (10 papers) and Biometric Identification and Security (9 papers). Glenn Langenburg collaborates with scholars based in United States, United Kingdom and Switzerland. Glenn Langenburg's co-authors include Christophe Champod, Itiel E. Dror, Robert Rosenthal, D. G. Charlton, David H. Kaye, Jonathan J. Koehler, D. Michael Risinger, Norah Rudin, David A. Stoney and Simon A. Cole and has published in prestigious journals such as Scientific Reports, The Analyst and Forensic Science International.

In The Last Decade

Glenn Langenburg

23 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glenn Langenburg United States 14 287 206 156 118 93 23 624
Maria Antonia Roberts United States 11 266 0.9× 266 1.3× 97 0.6× 247 2.1× 76 0.8× 16 613
Bradford T. Ulery United States 11 224 0.8× 215 1.0× 96 0.6× 215 1.8× 135 1.5× 15 620
R. Austin Hicklin United States 12 298 1.0× 265 1.3× 104 0.7× 260 2.2× 98 1.1× 23 670
JoAnn Buscaglia United States 15 338 1.2× 289 1.4× 106 0.7× 280 2.4× 112 1.2× 34 883
Jennifer L. Mnookin United States 13 146 0.5× 87 0.4× 81 0.5× 63 0.5× 77 0.8× 34 573
David A. Stoney United States 14 336 1.2× 128 0.6× 39 0.3× 91 0.8× 76 0.8× 36 752
D. Michael Risinger United States 12 142 0.5× 73 0.4× 213 1.4× 29 0.2× 108 1.2× 43 762
Keith Inman United States 13 261 0.9× 46 0.2× 43 0.3× 33 0.3× 87 0.9× 22 554
Frank Crispino Canada 16 232 0.8× 78 0.4× 26 0.2× 27 0.2× 205 2.2× 47 751
Bryan Found Australia 17 83 0.3× 24 0.1× 147 0.9× 46 0.4× 173 1.9× 46 784

Countries citing papers authored by Glenn Langenburg

Since Specialization
Citations

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

Fields of papers citing papers by Glenn Langenburg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glenn Langenburg

This figure shows the co-authorship network connecting the top 25 collaborators of Glenn Langenburg. A scholar is included among the top collaborators of Glenn Langenburg 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 Glenn Langenburg. Glenn Langenburg 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.
Langenburg, Glenn, Laura M. Cole, Tom Clark, et al.. (2020). Pre-validation of a MALDI MS proteomics-based method for the reliable detection of blood and blood provenance. Scientific Reports. 10(1). 17087–17087. 10 indexed citations
2.
Deininger, Lisa, Simona Francese, Malcolm R. Clench, et al.. (2018). Investigation of infinite focus microscopy for the determination of the association of blood with fingermarks. Science & Justice. 58(6). 397–404. 13 indexed citations
3.
Dror, Itiel E. & Glenn Langenburg. (2018). “Cannot Decide”: The Fine Line Between Appropriate Inconclusive Determinations Versus Unjustifiably Deciding Not To Decide. Journal of Forensic Sciences. 64(1). 10–15. 51 indexed citations
4.
Langenburg, Glenn, et al.. (2017). Accuracy and reliability of feature selection by Chinese fingerprint examiners. Forensic Sciences Research. 2(4). 203–209. 3 indexed citations
5.
Langenburg, Glenn. (2017). Addressing potential observer effects in forensic science: a perspective from a forensic scientist who uses linear sequential unmasking techniques. Australian Journal of Forensic Sciences. 49(5). 548–563. 13 indexed citations
6.
Langenburg, Glenn, et al.. (2015). Utilizing AFIS searching tools to reduce errors in fingerprint casework. Forensic Science International. 257. 123–133. 11 indexed citations
7.
Neumann, Cédric, et al.. (2015). Quantifying the weight of fingerprint evidence through the spatial relationship, directions and types of minutiae observed on fingermarks. Forensic Science International. 248. 154–171. 20 indexed citations
8.
Patel, Ekta, Paola Cicatiello, Lisa Deininger, et al.. (2015). A proteomic approach for the rapid, multi-informative and reliable identification of blood. The Analyst. 141(1). 191–198. 29 indexed citations
9.
Neumann, Cédric, et al.. (2014). Improving the Understanding and the Reliability of the Concept of "Sufficiency" in Friction Ridge Examination. IRIS. 25 indexed citations
10.
Sheets, H. David, et al.. (2014). Distortion in Fingerprints: A Statistical Investigation using Shape Measurement Tools. Journal of Forensic Sciences. 59(4). 1113–1120. 5 indexed citations
11.
Langenburg, Glenn, et al.. (2014). A Report of Statistics from Latent Print Casework. 5(1-2). 15–37. 10 indexed citations
12.
Sheets, H. David, et al.. (2013). Shape measurement tools in footwear analysis: A statistical investigation of accidental characteristics over time. Forensic Science International. 232(1-3). 84–91. 10 indexed citations
13.
Langenburg, Glenn, et al.. (2012). Informing the judgments of fingerprint analysts using quality metric and statistical assessment tools. Forensic Science International. 219(1-3). 183–198. 36 indexed citations
14.
Langenburg, Glenn, et al.. (2012). Reactions of latent prints exposed to blood. Forensic Science International. 224(1-3). 51–58. 11 indexed citations
15.
Langenburg, Glenn. (2012). A critical analysis and study of the ACE-V Process. IRIS. 16 indexed citations
16.
Langenburg, Glenn & Christophe Champod. (2011). The GYRO System: a Recommended Approach to More Transparent Documentation. IRIS. 21 indexed citations
17.
Neumann, Cédric, et al.. (2011). Operational benefits and challenges of the use of fingerprint statistical models: A field study. Forensic Science International. 212(1-3). 32–46. 11 indexed citations
18.
Dror, Itiel E., et al.. (2010). Cognitive issues in fingerprint analysis: Inter- and intra-expert consistency and the effect of a ‘target’ comparison. Forensic Science International. 208(1-3). 10–17. 87 indexed citations
19.
Langenburg, Glenn, et al.. (2009). Testing for Potential Contextual Bias Effects During the Verification Stage of the ACE‐V Methodology when Conducting Fingerprint Comparisons*. Journal of Forensic Sciences. 54(3). 571–582. 63 indexed citations
20.
Langenburg, Glenn. (2008). Deposition of Bloody Friction Ridge Impressions. 13 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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