Edward H. Herskovits
- Artificial Intelligence top 0.2%
- Cognitive Neuroscience top 1%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 2%
- Information Systems top 1%
- Co-authors
- Gregory F. CooperRong ChenChristos DavatzikosArgye E. HillisMelissa NewhartPeter B. BarkerYun JiaoJennifer Heidler
- Topics
- Functional Brain Connectivity Studies (21 papers)Medical Image Segmentation Techniques (14 papers)Bayesian Modeling and Causal Inference (14 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesPolandChina
In The Last Decade
Edward H. Herskovits
92 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Artificial Intelligence 3.1k
- Cognitive Neuroscience 1.3k
- Molecular Biology 813
- Radiology, Nuclear Medicine and Imaging 634
- Information Systems 633
Countries citing papers authored by Edward H. Herskovits
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 13 | |
| 3 | 7 | |
| 4 | 19 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 12 | |
| 9 | 26 | |
| 10 | 6 | |
| 11 | 56 | |
| 12 | 71 | |
| 13 | 18 | |
| 14 | 91 | |
| 15 | 26 | |
| 16 | 18 | |
| 17 | 24 | |
| 18 | 4 | |
| 19 | Transfer of information between system and evidence models. | 5 |
| 20 | an entropy-driven system for construction of probabilistic expert systems from databases | 68 |
About Edward H. Herskovits
Edward H. Herskovits is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 92 papers that have together received 6.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (21 papers), Medical Image Segmentation Techniques (14 papers) and Bayesian Modeling and Causal Inference (14 papers). The work is most often cited by research in Artificial Intelligence (3.1k citations), Cognitive Neuroscience (1.3k citations) and Management Science and Operations Research (616 citations). Edward H. Herskovits has collaborated with scholars based in United States, Poland and China. Frequent 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. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.
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.