Edward H. Herskovits

9.6k total citations · 2 hit papers
92 papers, 6.6k citations indexed

About

Edward H. Herskovits is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Edward H. Herskovits has authored 92 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Cognitive Neuroscience and 22 papers in Artificial Intelligence. Recurrent topics in Edward H. Herskovits's work include Functional Brain Connectivity Studies (21 papers), Medical Image Segmentation Techniques (14 papers) and Bayesian Modeling and Causal Inference (14 papers). Edward H. Herskovits is often cited by papers focused on Functional Brain Connectivity Studies (21 papers), Medical Image Segmentation Techniques (14 papers) and Bayesian Modeling and Causal Inference (14 papers). Edward H. Herskovits collaborates with scholars based in United States, Poland and China. Edward H. Herskovits's co-authors include Gregory F. Cooper, Rong Chen, Christos Davatzikos, Argye E. Hillis, Melissa Newhart, Peter B. Barker, Yun Jiao, Jennifer Heidler, Mahaveer Degaonkar and Dinggang Shen and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Edward H. Herskovits

92 papers receiving 6.3k citations

Hit Papers

align trajectories

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.

A Bayesian Method for the Induction of Probabilistic Networks from Data

1992 2.3k citations Gregory F. Cooper, Edward H. Herskovits profile →
A Bayesian method for the induction of probabilistic networks from data

1992 1.7k citations Gregory F. Cooper, Edward H. Herskovits profile →

Peers

Edward H. Herskovits

RNMI

Lipo Wang Singapore

Igor Kononenko Slovenia

Hongzhi Wang China

Yan Li China

Nianyin Zeng China

Vladimir Cherkassky United States

Wojciech Samek Germany

Kemal Polat Türkiye

Chen Ding China

Frank Hutter Germany

Lipo Wang Singapore

Edward H. Herskovits

2.2k ×0.7

977 ×0.7

596 ×0.7

733 ×1.2

RNMI

464 ×0.7

Citations per year, relative to Edward H. Herskovits Edward H. Herskovits (= 1×) peers Lipo Wang

Countries citing papers authored by Edward H. Herskovits

Since Specialization

Citations

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

Fields of papers citing papers by Edward H. Herskovits

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward H. Herskovits. 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 Edward H. Herskovits. The network helps show where Edward H. Herskovits may publish in the future.

Co-authorship network of co-authors of Edward H. Herskovits

This figure shows the co-authorship network connecting the top 25 collaborators of Edward H. Herskovits. A scholar is included among the top collaborators of Edward H. Herskovits 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 Edward H. Herskovits. Edward H. Herskovits 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

Chang, Linda, Meghann C. Ryan, Huajun Liang, et al.. (2023). Changes in Brain Activation Patterns During Working Memory Tasks in People With Post-COVID Condition and Persistent Neuropsychiatric Symptoms. Neurology. 100(23). e2409–e2423. 20 indexed citations

Liang, Huajun, Thomas Ernst, Kenichi Oishi, et al.. (2023). Abnormal brain diffusivity in participants with persistent neuropsychiatric symptoms after COVID-19. PubMed. 0(0). 37–48. 13 indexed citations

Dashevsky, Brittany Z., Zachary Bercu, Priya Bhosale, et al.. (2017). Multicenter Research Studies in Radiology. Academic Radiology. 25(1). 18–25. 7 indexed citations

Maravilla, K R, Daniel San‐Juan, Sang Joon Kim, et al.. (2017). Comparison of Gadoterate Meglumine and Gadobutrol in the MRI Diagnosis of Primary Brain Tumors: A Double-Blind Randomized Controlled Intraindividual Crossover Study (the REMIND Study). American Journal of Neuroradiology. 38(9). 1681–1688. 19 indexed citations

Chen, Rong, Yuanjie Zheng, Erika E. Nixon, & Edward H. Herskovits. (2017). Dynamic network model with continuous valued nodes for longitudinal brain morphometry. NeuroImage. 155. 605–611. 3 indexed citations

Mitchell, Jason, et al.. (2016). Routine Cross-Sectional Head Imaging Before Electroconvulsive Therapy: A Tertiary Center Experience. Journal of the American College of Radiology. 13(4). 429–434. 5 indexed citations

Chen, Rong & Edward H. Herskovits. (2015). Predictive structural dynamic network analysis. Journal of Neuroscience Methods. 245. 58–63. 9 indexed citations

Yang, Ming, Yaru Yang, Huijun Li, et al.. (2015). Combining Diffusion Tensor Imaging and Gray Matter Volumetry to Investigate Motor Functioning in Chronic Stroke. PLoS ONE. 10(5). e0125038–e0125038. 12 indexed citations

Chen, Hsin‐Jen, et al.. (2014). Identification of Minimal Hepatic Encephalopathy in Patients with Cirrhosis Based on White Matter Imaging and Bayesian Data Mining. American Journal of Neuroradiology. 36(3). 481–487. 26 indexed citations

10.

Chen, Rong & Edward H. Herskovits. (2011). Graphical Model Based Multivariate Analysis (GAMMA): An Open-Source, Cross-Platform Neuroimaging Data Analysis Software Package. Neuroinformatics. 10(2). 119–127. 6 indexed citations

11.

Chen, Rong & Edward H. Herskovits. (2010). Machine-learning techniques for building a diagnostic model for very mild dementia. NeuroImage. 52(1). 234–244. 56 indexed citations

12.

Cloutman, Lauren, Rebecca F. Gottesman, Priyanka Chaudhry, et al.. (2008). Where (in the brain) do semantic errors come from?. Cortex. 45(5). 641–649. 71 indexed citations

13.

Chen, Rong & Edward H. Herskovits. (2007). Clinical Diagnosis Based on Bayesian Classification of Functional Magnetic-Resonance Data. Neuroinformatics. 5(3). 178–188. 18 indexed citations

14.

Jacobs, Michael A., Edward H. Herskovits, & Hyun S. Kim. (2005). Uterine Fibroids: Diffusion-weighted MR Imaging for Monitoring Therapy with Focused Ultrasound Surgery—Preliminary Study. Radiology. 236(1). 196–203. 91 indexed citations

15.

Chen, Rong & Edward H. Herskovits. (2005). Network analysis of mild cognitive impairment. NeuroImage. 29(4). 1252–1259. 26 indexed citations

16.

Herskovits, Edward H., et al.. (2004). A Bayesian Morphometry Algorithm. IEEE Transactions on Medical Imaging. 23(6). 723–737. 18 indexed citations

17.

Herskovits, Edward H., Joan P. Gerring, Christos Davatzikos, & R. Nick Bryan. (2002). Is the Spatial Distribution of Brain Lesions Associated with Closed-Head Injury in Children Predictive of Subsequent Development of Posttraumatic Stress Disorder?. Radiology. 224(2). 345–351. 24 indexed citations

18.

Avellino, Anthony M., Paul P. Wang, Nancy H. Miller, & Edward H. Herskovits. (2002). FLAIR Magnetic Resonance Image of a Pediatric Spinal Epidermoid Cyst. Pediatric Neurosurgery. 36(4). 220–222. 4 indexed citations

19.

Almond, Russell G., et al.. (1999). Transfer of information between system and evidence models.. International Conference on Artificial Intelligence and Statistics. 5 indexed citations

20.

Herskovits, Edward H. & Gregory F. Cooper. (1990). an entropy-driven system for construction of probabilistic expert systems from databases. arXiv (Cornell University). 117–128. 68 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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