Joseph Bockhorst

810 total citations
21 papers, 537 citations indexed

About

Joseph Bockhorst is a scholar working on Artificial Intelligence, Molecular Biology and Political Science and International Relations. According to data from OpenAlex, Joseph Bockhorst has authored 21 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Molecular Biology and 3 papers in Political Science and International Relations. Recurrent topics in Joseph Bockhorst's work include Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (4 papers) and Bayesian Modeling and Causal Inference (4 papers). Joseph Bockhorst is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (4 papers) and Bayesian Modeling and Causal Inference (4 papers). Joseph Bockhorst collaborates with scholars based in United States, Australia and Papua New Guinea. Joseph Bockhorst's co-authors include Mark Craven, Jude Shavlik, Jeremy D. Glasner, David E. Kleiner, Richard Komorowski, Samer Gawrieh, David Page, Nebojša Jojić, Joseph D. Smith and David Page and has published in prestigious journals such as Bioinformatics, PLoS ONE and Infection and Immunity.

In The Last Decade

Joseph Bockhorst

21 papers receiving 518 citations

Peers

Countries citing papers authored by Joseph Bockhorst

Since Specialization

Citations

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

Fields of papers citing papers by Joseph Bockhorst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Bockhorst

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Bockhorst. A scholar is included among the top collaborators of Joseph Bockhorst 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 Joseph Bockhorst. Joseph Bockhorst 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	Designing and deploying insurance recommender systems using machine learning 2020 ·Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery ·(unknown), (unknown), (unknown), Joseph Bockhorst, Glenn Fung	13
2	Using Discriminative Graphical Models for Insurance Recommender Systems 2018 ·(unknown), (unknown), Joseph Bockhorst, (unknown), (unknown), Glenn Fung	7
3	Automatic quantification of lobular inflammation and hepatocyte ballooning in nonalcoholic fatty liver disease liver biopsies 2015 ·Human Pathology ·(unknown), Joseph Bockhorst, David E. Kleiner, Richard Komorowski, Naga Chalasani, Samer Gawrieh	33
4	Automatic classification of white regions in liver biopsies by supervised machine learning 2013 ·Human Pathology ·(unknown), Joseph Bockhorst, Richard Komorowski, David E. Kleiner, Samer Gawrieh	73
5	Triangulating Judicial Responsiveness: Automated Content Analysis, Judicial Opinions, and the Methodology of Legal Scholarship 2012 ·Florida law review ·(unknown), Joseph Bockhorst, (unknown)	2
6	Beyond Captions: Linking Figures with Abstract Sentences in Biomedical Articles 2012 ·PLoS ONE ·Joseph Bockhorst, John M. Conroy, Shashank Agarwal, Dianne P. O’Leary, Hong Yu	5
7	A Machine Learning Approach to Identifying Sections in Legal Briefs. 2011 ·(unknown), Joseph Bockhorst, (unknown)	1
8	Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting 2010 ·Neural Information Processing Systems ·Chris Barber, Joseph Bockhorst, Paul J. Roebber	20
9	Judicial Inaction in Action? Toward a Measure of Judicial Responsiveness 2010 ·SSRN Electronic Journal ·(unknown), Joseph Bockhorst, (unknown)	1
10	Evaluation of the Antigenic Diversity of Placenta-Binding Plasmodium falciparum Variants and the Antibody Repertoire among Pregnant Women 2010 ·Infection and Immunity ·Mirja Hommel, Salenna R. Elliott, (unknown), (unknown), Freya J. I. Fowkes, Joanne M. Chesson, Michael F. Duffy, Joseph Bockhorst, Marion Avril, Ivo Müeller, A. Raiko, Danielle I. Stanisic, Stephen J. Rogerson, Joseph D. Smith, James G. Beeson	46
11	Discovering patterns in biological sequences by optimal segmentation 2007 ·Uncertainty in Artificial Intelligence ·Joseph Bockhorst, Nebojša Jojić	6
12	Structural polymorphism and diversifying selection on the pregnancy malaria vaccine candidate VAR2CSA 2007 ·Molecular and Biochemical Parasitology ·Joseph Bockhorst, Fangli Lü, (unknown), Jon Keebler, Benoît Gamain, Philip Awadalla, Xin‐zhuan Su, Ram Samudrala, Nebojša Jojić, Joseph D. Smith	103
13	Connecting quantitative regulatory-network models to the genome 2007 ·Bioinformatics ·Yue Pan, Tim Durfee, Joseph Bockhorst, Mark Craven	8
14	Markov Networks for Detecting Overalpping Elements in Sequence Data 2004 ·Neural Information Processing Systems ·Mark Craven, Joseph Bockhorst	28
15	Predicting bacterial transcription units using sequence and expression data 2003 ·Bioinformatics ·Joseph Bockhorst, Yu Qiu, Jeremy D. Glasner, Mingzhu Liu, Frederick R. Blattner, Mark Craven	51
16	A Bayesian network approach to operon prediction 2003 ·Bioinformatics ·Joseph Bockhorst, Mark Craven, David Page, Jude Shavlik, Jeremy D. Glasner	69
17	Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data 2002 ·International Conference on Machine Learning ·Joseph Bockhorst, Mark Craven	11
18	Refining the structure of a stochastic context-free grammar 2001 ·International Joint Conference on Artificial Intelligence ·Joseph Bockhorst, Mark Craven	2
19	Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes 2000 ·International Conference on Machine Learning ·Mark Craven, David Page, Jude Shavlik, Joseph Bockhorst, Jeremy D. Glasner	3
20	A probabilistic learning approach to whole-genome operon prediction. 2000 ·PubMed ·Mark Craven, David Page, Jude Shavlik, Joseph Bockhorst, (unknown)	53

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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