Jeffrey L. Tilson

3.0k total citations
34 papers, 394 citations indexed

About

Jeffrey L. Tilson is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Inorganic Chemistry. According to data from OpenAlex, Jeffrey L. Tilson has authored 34 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atomic and Molecular Physics, and Optics, 7 papers in Molecular Biology and 5 papers in Inorganic Chemistry. Recurrent topics in Jeffrey L. Tilson's work include Advanced Chemical Physics Studies (13 papers), Spectroscopy and Quantum Chemical Studies (5 papers) and Machine Learning in Bioinformatics (3 papers). Jeffrey L. Tilson is often cited by papers focused on Advanced Chemical Physics Studies (13 papers), Spectroscopy and Quantum Chemical Studies (5 papers) and Machine Learning in Bioinformatics (3 papers). Jeffrey L. Tilson collaborates with scholars based in United States, France and Russia. Jeffrey L. Tilson's co-authors include J. Harrison, Walter C. Ermler, Ron Shepard, Albert F. Wagner, Ivan L. Shulgin, Eli Ruckenstein, Robert J. Harrison, Russell M. Pitzer, Gloria Rendon and Eric Jakobsson and has published in prestigious journals such as The Journal of Chemical Physics, Bioinformatics and PLoS ONE.

In The Last Decade

Jeffrey L. Tilson

32 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey L. Tilson United States 12 199 74 64 61 54 34 394
Graham D. Fletcher United States 11 323 1.6× 138 1.9× 53 0.8× 105 1.7× 40 0.7× 21 499
Urban Borštnik Slovenia 8 134 0.7× 63 0.9× 88 1.4× 118 1.9× 26 0.5× 14 415
Jialin Ju United States 4 253 1.3× 87 1.2× 74 1.2× 210 3.4× 99 1.8× 7 667
Kirill Khistyaev United States 5 310 1.6× 111 1.5× 37 0.6× 73 1.2× 17 0.3× 5 407
Aurelio Rodrı́guez Spain 12 188 0.9× 114 1.5× 77 1.2× 78 1.3× 7 0.1× 21 437
Sarom S. Leang United States 8 219 1.1× 77 1.0× 33 0.5× 135 2.2× 24 0.4× 11 435
Prashant Uday Manohar India 8 342 1.7× 89 1.2× 18 0.3× 56 0.9× 24 0.4× 18 428
Sara Kokkila-Schumacher United States 10 419 2.1× 195 2.6× 131 2.0× 161 2.6× 26 0.5× 14 728
Chan-Kyung Kim South Korea 12 139 0.7× 101 1.4× 51 0.8× 18 0.3× 23 0.4× 26 418
Michael Wrinn United States 7 240 1.2× 55 0.7× 13 0.2× 107 1.8× 117 2.2× 21 460

Countries citing papers authored by Jeffrey L. Tilson

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey L. Tilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey L. Tilson. 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 Jeffrey L. Tilson. The network helps show where Jeffrey L. Tilson may publish in the future.

Co-authorship network of co-authors of Jeffrey L. Tilson

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey L. Tilson. A scholar is included among the top collaborators of Jeffrey L. Tilson 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 Jeffrey L. Tilson. Jeffrey L. Tilson 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.
Widlansky, Matthew J., Xue Feng, P. R. Thompson, et al.. (2024). Assessment of water levels from 43 years of NOAA’s Coastal Ocean Reanalysis (CORA) for the Gulf of Mexico and East Coasts. Frontiers in Marine Science. 11. 3 indexed citations
2.
Bizon, Chris, et al.. (2022). Association of Predicted Expression and Multimodel Association Analysis of Substance Abuse Traits. PubMed. 8(1-2). 35–46. 1 indexed citations
3.
Tilson, Jeffrey L., et al.. (2022). Spin–orbit configuration interaction study of spectral properties of PbO. Journal of Physics Condensed Matter. 34(34). 344003–344003.
4.
Tilson, Jeffrey L., Dayne L. Filer, Alejandro Colaneri, et al.. (2020). Projected t-SNE for batch correction. Bioinformatics. 36(11). 3522–3527. 11 indexed citations
5.
Barber, Robert C., Nicole Phillips, Jeffrey L. Tilson, et al.. (2015). Can Genetic Analysis of Putative Blood Alzheimer’s Disease Biomarkers Lead to Identification of Susceptibility Loci?. PLoS ONE. 10(12). e0142360–e0142360. 10 indexed citations
6.
Tilson, Jeffrey L. & Walter C. Ermler. (2014). Massively parallel spin–orbit configuration interaction. Theoretical Chemistry Accounts. 133(10). 10 indexed citations
7.
Ermler, Walter C. & Jeffrey L. Tilson. (2012). Generally contracted valence–core/valence basis sets for use with relativistic effective core potentials and spin–orbit coupling operators. Computational and Theoretical Chemistry. 1002. 24–30. 5 indexed citations
9.
Rendon, Gloria, et al.. (2010). Domain-Based Identification and Analysis of Glutamate Receptor Ion Channels and Their Relatives in Prokaryotes. PLoS ONE. 5(10). e12827–e12827. 21 indexed citations
10.
Tilson, Jeffrey L., et al.. (2007). MotifNetwork: Genome-Wide Domain Analysis using Grid-enabled Workflows. 20. 872–879. 3 indexed citations
11.
Fang, Z., et al.. (2006). Three-body effects in hydrogen fluoride: survey of potential energy surfaces. Molecular Physics. 104(4). 503–513. 7 indexed citations
12.
Ramakrishnan, Lavanya, et al.. (2006). Grid portals for bioinformatics. 9 indexed citations
13.
Ruckenstein, Eli, Ivan L. Shulgin, & Jeffrey L. Tilson. (2003). The Structure of Dilute Clusters of Methane and Water by ab Initio Quantum Mechanical Calculations. The Journal of Physical Chemistry A. 107(13). 2289–2295. 17 indexed citations
14.
Tilson, Jeffrey L., Conrad A. Naleway, Michael Seth, et al.. (2002). An ab initio study of the f–f spectroscopy of americium +3. The Journal of Chemical Physics. 116(13). 5494–5502. 5 indexed citations
15.
Shepard, Ron, Albert F. Wagner, Jeffrey L. Tilson, & Michael Minkoff. (2001). The Subspace Projected Approximate Matrix (SPAM) Modification of the Davidson Method. Journal of Computational Physics. 172(2). 472–514. 11 indexed citations
16.
Tilson, Jeffrey L., M. Minkoff, Albert F. Wagner, et al.. (1999). High-Performance Computational Chemistry: Hartree-Fock Electronic Structure Calculations on Massively Parallel Processors. The International Journal of High Performance Computing Applications. 13(4). 291–302. 23 indexed citations
17.
Foster, Ian, Jeffrey L. Tilson, Albert F. Wagner, et al.. (1996). Toward high-performance computational chemistry: I. Scalable Fock matrix construction algorithms. Journal of Computational Chemistry. 17(1). 109–123. 36 indexed citations
18.
Harrison, Robert J., Martyn F. Guest, Rick A. Kendall, et al.. (1996). Toward high-performance computational chemistry: II. A scalable self-consistent field program. Journal of Computational Chemistry. 17(1). 124–132. 42 indexed citations
19.
Tilson, Jeffrey L. & J. Harrison. (1992). Electronic and geometric structures of various products of the scandium(1+) + hydrogen sulfide reaction. The Journal of Physical Chemistry. 96(4). 1667–1674. 11 indexed citations
20.
Tilson, Jeffrey L. & J. Harrison. (1991). Electronic and geometric structures of various products of the scandium+ + water reaction. The Journal of Physical Chemistry. 95(13). 5097–5103. 52 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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