Gene Gindi

3.3k total citations · 1 hit paper
108 papers, 2.4k citations indexed

About

Gene Gindi is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Gene Gindi has authored 108 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Radiology, Nuclear Medicine and Imaging, 46 papers in Biomedical Engineering and 23 papers in Radiation. Recurrent topics in Gene Gindi's work include Medical Imaging Techniques and Applications (80 papers), Advanced X-ray and CT Imaging (43 papers) and Advanced MRI Techniques and Applications (28 papers). Gene Gindi is often cited by papers focused on Medical Imaging Techniques and Applications (80 papers), Advanced X-ray and CT Imaging (43 papers) and Advanced MRI Techniques and Applications (28 papers). Gene Gindi collaborates with scholars based in United States, Taiwan and China. Gene Gindi's co-authors include I. George Zubal, Anand Rangarajan, Charles R. Harrell, Paul B. Hoffer, Zachary Rattner, E. O’Brian Smith, Ing‐Tsung Hsiao, Parmeshwar Khurd, Arthur F. Gmitro and Wenli Wang and has published in prestigious journals such as Circulation, IEEE Transactions on Image Processing and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Gene Gindi

101 papers receiving 2.3k citations

Hit Papers

Computerized three‐dimensional segmented human anatomy 1994 2026 2004 2015 1994 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Computerized three‐dimensional segmented human anatomy
    1994 824 citations I. George Zubal, Charles R. Harrell et al. Medical Physics profile →

Peers

Gene Gindi
K. Sauer United States
Eric Clarkson United States
N.H. Clinthorne United States
Hideaki Haneishi Japan
Matthew A. Kupinski United States
Edward L. Chaney United States
Mark A. Anastasio United States
Huafeng Liu China
Zhen Tian China
Ricardo Otazo United States
K. Sauer United States
Gene Gindi
Citations per year, relative to Gene Gindi Gene Gindi (= 1×) peers K. Sauer

Countries citing papers authored by Gene Gindi

Since Specialization
Citations

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

Fields of papers citing papers by Gene Gindi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gene Gindi

This figure shows the co-authorship network connecting the top 25 collaborators of Gene Gindi. A scholar is included among the top collaborators of Gene Gindi 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 Gene Gindi. Gene Gindi 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.
Khurd, Parmeshwar, Bin Liu, & Gene Gindi. (2010). Ideal AFROC and FROC Observers. IEEE Transactions on Medical Imaging. 29(2). 375–386. 16 indexed citations
2.
Liu, Bin, Lili Zhou, Santosh Kulkarni, & Gene Gindi. (2009). The efficiency of the human observer for lesion detection and localization in emission tomography. Physics in Medicine and Biology. 54(9). 2651–2666. 8 indexed citations
3.
Bruyant, P.P., Howard C. Gifford, Peter B. Schneider, et al.. (2009). Impact on Reader Performance for Lesion-Detection/ Localization Tasks of Anatomical Priors in SPECT Reconstruction. IEEE Transactions on Medical Imaging. 28(9). 1459–1467. 13 indexed citations
4.
Kulkarni, Santosh, Parmeshwar Khurd, Lili Zhou, & Gene Gindi. (2007). Rapid optimization of SPECT scatter correction using model LROC observers. PubMed. 25(4436989). 3986–3993. 1 indexed citations
5.
Bruyant, P.P., Howard C. Gifford, Peter B. Schneider, et al.. (2006). Human-observer LROC study of lesion detection in Ga-67 SPECT images reconstructed using MAP with anatomical priors. 2006 IEEE Nuclear Science Symposium Conference Record. 30. 1699–1702. 4 indexed citations
6.
Khurd, Parmeshwar & Gene Gindi. (2005). Fast LROC analysis of Bayesian reconstructed emission tomographic images using model observers. Physics in Medicine and Biology. 50(7). 1519–1532. 25 indexed citations
7.
Khurd, Parmeshwar & Gene Gindi. (2005). Decision strategies that maximize the area under the LROC curve. IEEE Transactions on Medical Imaging. 24(12). 1626–1636. 37 indexed citations
8.
Xing, Yuxiang, Ing‐Tsung Hsiao, & Gene Gindi. (2003). Rapid calculation of detectability in Bayesian single photon emission computed tomography. Physics in Medicine and Biology. 48(22). 3755–3773. 19 indexed citations
9.
Hsiao, Ing‐Tsung, Anand Rangarajan, & Gene Gindi. (2003). A new convex edge-preserving median prior with applications to tomography. IEEE Transactions on Medical Imaging. 22(5). 580–585. 47 indexed citations
10.
Hsiao, Ing‐Tsung, Anand Rangarajan, & Gene Gindi. (2002). Joint-MAP Bayesian tomographic reconstruction with a gamma-mixture prior. IEEE Transactions on Image Processing. 11(12). 1466–1477. 32 indexed citations
11.
Duncan, James S. & Gene Gindi. (1997). Proceedings of the 15th International Conference on Information Processing in Medical Imaging. 8 indexed citations
12.
Wang, Wenli & Gene Gindi. (1997). Noise analysis of MAP - EM algorithms for emission tomography. Physics in Medicine and Biology. 42(11). 2215–2232. 75 indexed citations
13.
Rangarajan, Anand, et al.. (1995). Bayesian image reconstruction in SPECT using higher order mechanical models as priors. IEEE Transactions on Medical Imaging. 14(4). 669–680. 62 indexed citations
14.
Zubal, I. George, Charles R. Harrell, E. O’Brian Smith, et al.. (1994). Computerized three‐dimensional segmented human anatomy. Medical Physics. 21(2). 299–302. 824 indexed citations breakdown →
15.
Gindi, Gene, et al.. (1993). Bayesian reconstruction of functional images using anatomical information as priors. IEEE Transactions on Medical Imaging. 12(4). 670–680. 152 indexed citations
16.
Gmitro, Arthur F., Volker Tresp, & Gene Gindi. (1990). Videographic tomography. I. Reconstruction with parallel-beam projection data. IEEE Transactions on Medical Imaging. 9(4). 366–375. 2 indexed citations
17.
Deckelbaum, Lawrence I., et al.. (1989). Fluorescence spectroscopy guidance of laser ablation of atherosclerotic plaque. Lasers in Surgery and Medicine. 9(3). 205–214. 51 indexed citations
18.
Mjolsness, Eric, Gene Gindi, & P. Anandan. (1988). Neural Networks for Model Matching and Perceptual Organization. Neural Information Processing Systems. 1. 618–625. 2 indexed citations
19.
Gmitro, Arthur F. & Gene Gindi. (1986). Real-time computed tomography. Annual Meeting Optical Society of America. MR2–MR2. 2 indexed citations
20.
Gmitro, Arthur F. & Gene Gindi. (1985). Computed tomography videography: an electrooptical system for video-rate image reconstruction. Applied Optics. 24(23). 4040–4040. 4 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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