J. Llacer

3.2k total citations · 1 hit paper
83 papers, 2.3k citations indexed

About

J. Llacer is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Electrical and Electronic Engineering. According to data from OpenAlex, J. Llacer has authored 83 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 39 papers in Radiation and 18 papers in Electrical and Electronic Engineering. Recurrent topics in J. Llacer's work include Medical Imaging Techniques and Applications (39 papers), Radiation Detection and Scintillator Technologies (20 papers) and Advanced X-ray and CT Imaging (15 papers). J. Llacer is often cited by papers focused on Medical Imaging Techniques and Applications (39 papers), Radiation Detection and Scintillator Technologies (20 papers) and Advanced X-ray and CT Imaging (15 papers). J. Llacer collaborates with scholars based in United States, Spain and Netherlands. J. Llacer's co-authors include Eugene Veklerov, E. L. Garwin, J. Núñez, Timothy D. Solberg, E.J. Hoffman, A. Chatterjee, E.J. Hoffman, E. E. Haller, Cornelius A. Tobias and Kevin J. Coakley and has published in prestigious journals such as Journal of Applied Physics, Radiology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

J. Llacer

80 papers receiving 2.1k citations

Hit Papers

Deep impurities in semiconductors 1974 2026 1991 2008 1974 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Llacer United States 24 961 901 732 567 480 83 2.3k
Thilo Michel Germany 23 437 0.5× 1.0k 1.2× 706 1.0× 1.0k 1.8× 509 1.1× 148 2.6k
G.F. Knoll United States 31 843 0.9× 2.5k 2.8× 1.3k 1.8× 892 1.6× 446 0.9× 115 3.3k
V. Perez-Mendez United States 30 498 0.5× 1.1k 1.3× 650 0.9× 297 0.5× 653 1.4× 232 2.9k
Andrzej Król United States 24 462 0.5× 442 0.5× 217 0.3× 326 0.6× 525 1.1× 155 2.3k
C. Fiorini Italy 25 755 0.8× 2.7k 3.0× 856 1.2× 321 0.6× 239 0.5× 358 3.5k
Alex F. Bielajew United States 28 1.2k 1.3× 2.2k 2.4× 158 0.2× 512 0.9× 113 0.2× 65 2.6k
V. Radeka United States 29 367 0.4× 1.4k 1.5× 1.2k 1.7× 397 0.7× 596 1.2× 166 2.9k
J. W. Motz United States 17 288 0.3× 1.0k 1.1× 168 0.2× 260 0.5× 343 0.7× 31 1.8k
R. Turchetta United Kingdom 26 179 0.2× 1.1k 1.2× 1.2k 1.6× 280 0.5× 272 0.6× 122 2.2k
P. Bruyndonckx Belgium 26 1.5k 1.5× 1.7k 1.9× 117 0.2× 369 0.7× 516 1.1× 86 2.0k

Countries citing papers authored by J. Llacer

Since Specialization
Citations

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

Fields of papers citing papers by J. Llacer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Llacer

This figure shows the co-authorship network connecting the top 25 collaborators of J. Llacer. A scholar is included among the top collaborators of J. Llacer 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. Llacer. J. Llacer 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.
Llacer, J., et al.. (2009). Non-coplanar automatic beam orientation selection in cranial IMRT: a practical methodology. Physics in Medicine and Biology. 54(5). 1337–1368. 18 indexed citations
2.
Llacer, J., et al.. (2004). Degeneracy, frequency response and filtering in IMRT optimization. Physics in Medicine and Biology. 49(13). 2853–2880. 14 indexed citations
3.
Núñez, J. & J. Llacer. (2003). Astronomical image segmentation by self-organizing neural networks and wavelets. Neural Networks. 16(3-4). 411–417. 18 indexed citations
4.
Llacer, J., et al.. (2001). Comparative behaviour of the Dynamically Penalized Likelihood algorithm in inverse radiation therapy planning. Physics in Medicine and Biology. 46(10). 2637–2663. 54 indexed citations
5.
Llacer, J.. (1997). Inverse radiation treatment planning using the Dynamically Penalized Likelihood method. Medical Physics. 24(11). 1751–1764. 75 indexed citations
6.
Llacer, J. & J. Núñez. (1994). <title>Ghost images and feasibility of reconstructions with the Richardson-Lucy algorithm</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2302. 207–221. 3 indexed citations
7.
Llacer, J., Eugene Veklerov, Kevin J. Coakley, E.J. Hoffman, & J. Núñez. (1993). Statistical analysis of maximum likelihood estimator images of human brain FDG PET studies. IEEE Transactions on Medical Imaging. 12(2). 215–231. 55 indexed citations
8.
Llacer, J., Bart M. ter Haar Romeny, Luc Florack, & Max A. Viergever. (1993). Representation of medical images by visual response functions. IEEE Engineering in Medicine and Biology Magazine. 12(1). 40–47. 9 indexed citations
9.
Núñez, J. & J. Llacer. (1993). A general Bayesian image reconstruction algorithm with entropy prior: Preliminary application to HST data. Publications of the Astronomical Society of the Pacific. 105. 1192–1192. 20 indexed citations
10.
Llacer, J., Eugene Veklerov, L.R. Baxter, et al.. (1993). Results of a clinical receiver operating characteristic study comparing filtered backprojection and maximum likelihood estimator images in FDG PET studies.. PubMed. 34(7). 1198–203. 54 indexed citations
11.
Llacer, J., Eugene Veklerov, L.R. Baxter, et al.. (1992). Results of a Clinical ROC Study Comparing Filtered Backprojection and Maximum Likelihood Estimator Images in FDG PET Studies. eScholarship (California Digital Library). 2 indexed citations
12.
Llacer, J.. (1990). On the validity of hypothesis testing for feasibility of image reconstructions. IEEE Transactions on Medical Imaging. 9(2). 226–230. 9 indexed citations
13.
Núñez, J. & J. Llacer. (1990). A fast Bayesian reconstruction algorithm for emission tomography with entropy prior converging to feasible images. IEEE Transactions on Medical Imaging. 9(2). 159–171. 40 indexed citations
14.
15.
Llacer, J. & Eugene Veklerov. (1989). Feasible images and practical stopping rules for iterative algorithms in emission tomography. IEEE Transactions on Medical Imaging. 8(2). 186–193. 106 indexed citations
16.
Llacer, J., et al.. (1986). On The Applicability Of The Maximum Likelihood Estimator Algorithm For Image Recovery In Accelerated Positron Emitter Beam Injection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 671. 269–269. 1 indexed citations
17.
Llacer, J., et al.. (1985). Matrix-Based Image Reconstruction Methods for Tomography. IEEE Transactions on Nuclear Science. 32(1). 855–864. 31 indexed citations
18.
Chu, W. T., et al.. (1985). Wobbler Facility for Biomedical Experimenis at the Bevalac. IEEE Transactions on Nuclear Science. 32(5). 3321–3323. 13 indexed citations
19.
Chatterjee, A., Edward L. Alpen, Cornelius A. Tobias, J. Llacer, & J. Alonso. (1981). High energy beams of radioactive nuclei and their biomedical applications. International Journal of Radiation Oncology*Biology*Physics. 7(4). 503–507. 36 indexed citations
20.
Llacer, J., et al.. (1974). Preliminary Studies of Charge Carrier Transport in Mercuric Iodide Radiation Detectors. IEEE Transactions on Nuclear Science. 21(1). 305–314. 46 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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