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

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

#	Work	Indexed citations
1	Changes in Brain Activation Patterns During Working Memory Tasks in People With Post-COVID Condition and Persistent Neuropsychiatric Symptoms 2023 ·Neurology ·Linda Chang, Meghann C. Ryan, Huajun Liang, Xin Zhang, Eric Cunningham, Justin Wang, Eleanor Wilson, Edward H. Herskovits, Shyamasundaran Kottilil, Thomas Ernst	20
2	Abnormal brain diffusivity in participants with persistent neuropsychiatric symptoms after COVID-19 2023 ·PubMed ·Huajun Liang, Thomas Ernst, Kenichi Oishi, Meghann C. Ryan, Edward H. Herskovits, Eric Cunningham, Eleanor Wilson, Shyamasundaran Kottilil, Linda Chang	13
3	Multicenter Research Studies in Radiology 2017 ·Academic Radiology ·Brittany Z. Dashevsky, Zachary Bercu, Priya Bhosale, Kirsteen R. Burton, Arindam Chatterjee, (unknown), Laura Heacock, Edward H. Herskovits, James T. Lee, Naveen Subhas, Ashish P. Wasnik, Soterios Gyftopoulos	7
4	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) 2017 ·American Journal of Neuroradiology ·K R Maravilla, Daniel San‐Juan, Sang Joon Kim, Guillermo Elizondo‐Riojas, James R. Fink, William Escobar, Asim K. Bag, Donna R. Roberts, (unknown), (unknown), Apostolos John Tsiouris, Edward H. Herskovits, Jochen B. Fiebach	19
5	Dynamic network model with continuous valued nodes for longitudinal brain morphometry 2017 ·NeuroImage ·Rong Chen, Yuanjie Zheng, Erika E. Nixon, Edward H. Herskovits	3
6	Routine Cross-Sectional Head Imaging Before Electroconvulsive Therapy: A Tertiary Center Experience 2016 ·Journal of the American College of Radiology ·(unknown), Jason Mitchell, Edward H. Herskovits, Prashant Raghavan	5
7	Predictive structural dynamic network analysis 2015 ·Journal of Neuroscience Methods ·Rong Chen, Edward H. Herskovits	9
8	Combining Diffusion Tensor Imaging and Gray Matter Volumetry to Investigate Motor Functioning in Chronic Stroke 2015 ·PLoS ONE ·Ming Yang, Yaru Yang, Huijun Li, (unknown), Yongmei Shi, (unknown), Hua‐Jun Chen, Gao‐Jun Teng, Rong Chen, Edward H. Herskovits	12
9	Identification of Minimal Hepatic Encephalopathy in Patients with Cirrhosis Based on White Matter Imaging and Bayesian Data Mining 2014 ·American Journal of Neuroradiology ·Hsin‐Jen Chen, (unknown), Ming Yang, Gao‐Jun Teng, Edward H. Herskovits	26
10	Graphical Model Based Multivariate Analysis (GAMMA): An Open-Source, Cross-Platform Neuroimaging Data Analysis Software Package 2011 ·Neuroinformatics ·Rong Chen, Edward H. Herskovits	6
11	Machine-learning techniques for building a diagnostic model for very mild dementia 2010 ·NeuroImage ·Rong Chen, Edward H. Herskovits	56
12	Where (in the brain) do semantic errors come from? 2008 ·Cortex ·Lauren Cloutman, Rebecca F. Gottesman, Priyanka Chaudhry, Cameron Davis, Jonathan T. Kleinman, Mikołaj A. Pawlak, Edward H. Herskovits, Vijay Kannan, Andrew Lee, Melissa Newhart, Jennifer Heidler‐Gary, Argye E. Hillis	71
13	Clinical Diagnosis Based on Bayesian Classification of Functional Magnetic-Resonance Data 2007 ·Neuroinformatics ·Rong Chen, Edward H. Herskovits	18
14	Uterine Fibroids: Diffusion-weighted MR Imaging for Monitoring Therapy with Focused Ultrasound Surgery—Preliminary Study 2005 ·Radiology ·Michael A. Jacobs, Edward H. Herskovits, Hyun S. Kim	91
15	Network analysis of mild cognitive impairment 2005 ·NeuroImage ·Rong Chen, Edward H. Herskovits	26
16	A Bayesian Morphometry Algorithm 2004 ·IEEE Transactions on Medical Imaging ·Edward H. Herskovits, (unknown), Christos Davatzikos	18
17	Is the Spatial Distribution of Brain Lesions Associated with Closed-Head Injury in Children Predictive of Subsequent Development of Posttraumatic Stress Disorder? 2002 ·Radiology ·Edward H. Herskovits, Joan P. Gerring, Christos Davatzikos, R. Nick Bryan	24
18	FLAIR Magnetic Resonance Image of a Pediatric Spinal Epidermoid Cyst 2002 ·Pediatric Neurosurgery ·Anthony M. Avellino, Paul P. Wang, Nancy H. Miller, Edward H. Herskovits	4
19	Transfer of information between system and evidence models. 1999 ·International Conference on Artificial Intelligence and Statistics ·Russell G. Almond, Edward H. Herskovits, Robert J. Mislevy, (unknown)	5
20	an entropy-driven system for construction of probabilistic expert systems from databases 1990 ·arXiv (Cornell University) ·Edward H. Herskovits, Gregory F. Cooper	68

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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