J. E. Francis

876 total citations
43 papers, 610 citations indexed

About

J. E. Francis is a scholar working on Computational Mechanics, Civil and Structural Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, J. E. Francis has authored 43 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 7 papers in Civil and Structural Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in J. E. Francis's work include Sparse and Compressive Sensing Techniques (5 papers), Thermal Radiation and Cooling Technologies (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). J. E. Francis is often cited by papers focused on Sparse and Compressive Sensing Techniques (5 papers), Thermal Radiation and Cooling Technologies (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). J. E. Francis collaborates with scholars based in United States, India and Norway. J. E. Francis's co-authors include S. E. Webber, Michael Williams, Geetha Ghai, Sudhish N. George, Stacy Psychoyos, William D. Cash, George A. Stone, Albert Braunwalder, Gerard C. Mazzenga and T. J. Love and has published in prestigious journals such as The Journal of Chemical Physics, Endocrinology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

J. E. Francis

40 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. E. Francis United States	15	142	126	90	81	55	43	610
R J Sheppard United Kingdom	23	210 1.5×	64 0.5×	134 1.5×	13 0.2×	54 1.0×	64	1.7k
William L. Meyer United States	15	545 3.8×	16 0.1×	57 0.6×	53 0.7×	115 2.1×	41	1.3k
Frank R. Goodman United States	15	309 2.2×	32 0.3×	32 0.4×	39 0.5×	19 0.3×	54	1.2k
R.G. Johnson United Kingdom	10	235 1.7×	319 2.5×	90 1.0×	35 0.4×	28 0.5×	32	635
N. F. Beier United States	10	294 2.1×	17 0.1×	37 0.4×	9 0.1×	33 0.6×	26	552
Daniel Truong France	13	58 0.4×	20 0.2×	52 0.6×	18 0.2×	14 0.3×	50	658
Warren Armstrong United States	21	581 4.1×	24 0.2×	25 0.3×	8 0.1×	66 1.2×	61	1.3k
Kouichi Yoshida Japan	13	191 1.3×	9 0.1×	17 0.2×	24 0.3×	31 0.6×	55	566
Jianyu He China	20	192 1.4×	9 0.1×	51 0.6×	38 0.5×	41 0.7×	52	1.3k
Junichi Sato Japan	19	363 2.6×	6 0.0×	57 0.6×	11 0.1×	87 1.6×	91	1.3k

Countries citing papers authored by J. E. Francis

Since Specialization

Citations

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

Fields of papers citing papers by J. E. Francis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. E. Francis. 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 J. E. Francis. The network helps show where J. E. Francis may publish in the future.

Co-authorship network of co-authors of J. E. Francis

This figure shows the co-authorship network connecting the top 25 collaborators of J. E. Francis. A scholar is included among the top collaborators of J. E. Francis 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 J. E. Francis. J. E. Francis 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

George, Sudhish N., et al.. (2025). NorBlueNet: Hyperspectral imaging-based hybrid CNN-transformer model for non-destructive SSC analysis in Norwegian wild blueberries. Computers and Electronics in Agriculture. 235. 110340–110340. 4 indexed citations

Francis, J. E., et al.. (2024). Development of a unified framework of low-rank approximation and deep neural networks for predicting the spatial variability of SSC in `Spania' watermelons using vis/NIR hyperspectral imaging. Postharvest Biology and Technology. 219. 113222–113222. 9 indexed citations

Francis, J. E., et al.. (2024). Early bruise detection, classification and prediction in strawberry using Vis-NIR hyperspectral imaging. Food Control. 167. 110794–110794. 18 indexed citations

Francis, J. E., et al.. (2023). Quantitative Assessment of Hayward Kiwi Soluble Solids Content Prediction Using Hyperspectral Imaging. 1–5. 1 indexed citations

Francis, J. E., et al.. (2023). A Nonconvex Low Rank and Sparse Constrained Multiview Subspace Clustering via $l_{\frac{1}{2}}$-Induced Tensor Nuclear Norm. IEEE Transactions on Signal and Information Processing over Networks. 9. 612–625. 3 indexed citations

Francis, J. E., et al.. (2022). A Tensor Non-Convex Low Rank And Sparse Constrained Band Selection Scheme For Clustering Of Hyperspectral Paper Data. 1–5.

Francis, J. E., et al.. (2021). A Comprehensive Tensor Framework for the Clustering of Hyperspectral Paper Data With an Application to Forensic Document Analysis. IEEE Access. 10. 6194–6207. 2 indexed citations

Francis, J. E., et al.. (2021). A Robust Tensor-Based Submodule Clustering for Imaging Data Using l12 Regularization and Simultaneous Noise Recovery via Sparse and Low Rank Decomposition Approach. Journal of Imaging. 7(12). 279–279. 4 indexed citations

Vetelino, J.F., et al.. (2005). An adaptive thresholding system for functioning in nonstationary noise backgrounds. 1. 394–397.

10.

Kanazirska, Marie, et al.. (1995). Intracellular Ca(2+)-activated K+ channels modulated by variations in extracellular Ca2+ in dispersed bovine parathyroid cells.. Endocrinology. 136(5). 2238–2243. 22 indexed citations

11.

Märki, F., Werner Breitenstein, R. Bernasconi, et al.. (1993). Differential inhibition of human secretory and cytosolic phospholipase A2. Inflammation Research. 38(1-2). 202–211. 16 indexed citations

12.

Francis, J. E., et al.. (1993). ChemInform Abstract: General Synthesis of 5,7‐Diaminoimidazo(4,5‐b)pyridine Ribosides (“2‐ Amino‐1‐deazaadenosines”) from 5‐Amino‐4‐imidazolecarboxamide Riboside (AICA Riboside).. ChemInform. 24(4). 1 indexed citations

13.

Williams, Michael, J. E. Francis, Geetha Ghai, et al.. (1987). Biochemical characterization of the triazoloquinazoline, CGS 15943, a novel, non-xanthine adenosine antagonist.. Journal of Pharmacology and Experimental Therapeutics. 241(2). 415–420. 91 indexed citations

14.

Francis, J. E., et al.. (1982). Combined radiative and conductive heat transfer in a planar medium with a flux boundary condition using finite elements. 1 indexed citations

15.

Francis, J. E., et al.. (1976). Two dimensional analysis of a flat-plate solar collector. 2 indexed citations

16.

Francis, J. E., et al.. (1975). Using the scanning infrared camera in experimental fatigue studies. Experimental Mechanics. 15(4). 133–138. 30 indexed citations

17.

McNally, J. Rand, et al.. (1966). On the Possibility of Excitation Heating of Ions to High Temperature. Applied Optics. 5(2). 187–187. 2 indexed citations

18.

Blick, Edward F. & J. E. Francis. (1966). Spherically blunted cone pressure distributions.. AIAA Journal. 4(3). 547–549. 6 indexed citations

19.

Francis, J. E. & L. C. Leitch. (1957). ORGANIC DEUTERIUM COMPOUNDS: XVIII. ADDITION PRODUCTS OF HYDROGEN AND DEUTERIUM BROMIDES TO 1,1-DICHLOROETHYLENE. Canadian Journal of Chemistry. 35(5). 500–503. 3 indexed citations

20.

Harris, C.C., et al.. (1956). A CsI(Tl)-CRYSTAL SURGICAL SCINTILLATION PROBE. Nucleonics (U.S.) Ceased publication. 12 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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