David Chapman

3.3k total citations · 2 hit papers
45 papers, 2.0k citations indexed

About

David Chapman is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Atmospheric Science. According to data from OpenAlex, David Chapman has authored 45 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Atmospheric Science. Recurrent topics in David Chapman's work include Climate variability and models (7 papers), AI-based Problem Solving and Planning (5 papers) and COVID-19 diagnosis using AI (5 papers). David Chapman is often cited by papers focused on Climate variability and models (7 papers), AI-based Problem Solving and Planning (5 papers) and COVID-19 diagnosis using AI (5 papers). David Chapman collaborates with scholars based in United States, Jordan and Canada. David Chapman's co-authors include Philip E. Agre, Leslie Pack Kaelbling, Myron H. Lutz, Dong Eun Lee, Naomi Henderson, Chen Chen, Mark A. Cane, Thomas G. Dietterich, Ajay N. Jain and Teresa Webster and has published in prestigious journals such as Journal of Climate, Communications of the ACM and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

David Chapman

44 papers receiving 1.7k 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.

Planning for conjunctive goals

1987 669 citations David Chapman profile →
Pengi: an implementation of a theory of activity

1987 560 citations Philip E. Agre, David Chapman National Conference on Artificial Intelligence profile →

Peers

Countries citing papers authored by David Chapman

Since Specialization

Citations

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

Fields of papers citing papers by David Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of David Chapman. A scholar is included among the top collaborators of David Chapman 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 David Chapman. David Chapman 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	Active Semi-Supervised Learning via Bayesian Experimental Design for Lung Cancer Classification Using Low Dose Computed Tomography Scans 2023 ·Applied Sciences ·(unknown), (unknown), David Chapman, (unknown), (unknown), Michael Morris, Yelena Yesha	2
2	CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images 2023 ·Journal of Digital Imaging ·(unknown), (unknown), (unknown), Michael Morris, Babak Saboury, Yaacov Yesha, Yelena Yesha, (unknown), Aryya Gangopadhyay, David Chapman	3
3	CT-Scan Denoising Using a Charbonnier Loss Generative Adversarial Network 2021 ·IEEE Access ·(unknown), (unknown), (unknown), (unknown), Eliot L. Siegel, David Chapman	35
4	Hybrid Classification for Handwritten Character Recognition of a Subset of the Tamil Alphabet 2020 ·(unknown), David Chapman	5
5	Multilevel vector autoregressive prediction of sea surface temperature in the North Tropical Atlantic Ocean and the Caribbean Sea 2015 ·Climate Dynamics ·Dong Eun Lee, David Chapman, Naomi Henderson, Chen Chen, Mark A. Cane	20
6	Noise reduction in gridded airs brightness temperature grids using the MODIS Obscov algorithm 2012 ·David Chapman, Milton Halem, (unknown), (unknown)	2
7	Towards Producing a 40 Year Earth Science Data Record of IR Radiances 2009 ·AGU Fall Meeting Abstracts ·(unknown), David Chapman, Milton Halem	1
8	Service-Oriented Atmospheric Radiances (SOAR): Gridding and Analysis Services for Multisensor Aqua IR Radiance Data for Climate Studies 2009 ·IEEE Transactions on Geoscience and Remote Sensing ·Milton Halem, (unknown), Curt Tilmes, Kevin Stewart, Yelena Yesha, David Chapman, (unknown)	4
9	SOAR: A System for the Analysis of Atmospheric Radiances 2007 ·AGUFM ·Milton Halem, Yelena Yesha, Curt Tilmes, David Chapman, (unknown), (unknown)	1
10	The measurement of molecular diversity: A three-dimensional approach 1996 ·Journal of Computer-Aided Molecular Design ·David Chapman	27
11	Engineering proteins without primary sequence tryptophan residues: mutant trp repressors with aliphatic substitutions for tryptophan side chains 1995 ·Gene ·David Chapman, Remo Hochstrasser, David P. Millar, Philip Youderian	4
12	Navigator: Tools for informal structure-activity relationship discovery 1995 ·Journal of Molecular Graphics ·David Chapman, Nomi L. Harris, (unknown), (unknown)	2
13	Compass: A shape-based machine learning tool for drug design 1994 ·Journal of Computer-Aided Molecular Design ·Ajay N. Jain, Thomas G. Dietterich, Richard H. Lathrop, David Chapman, (unknown), (unknown), Teresa Webster, Tomás Lozano‐Pérez	71
14	Intermediate Vision: Architecture, Implementation, and Use 1992 ·Cognitive Science ·David Chapman	4
15	Input generalization in delayed reinforcement learning: an algorithm and performance comparisons 1991 ·International Joint Conference on Artificial Intelligence ·David Chapman, Leslie Pack Kaelbling	145
16	Penguins can make cake 1989 ·AI Magazine ·David Chapman	46
17	Non-deterministic lisp with dependency-directed backtracking 1987 ·National Conference on Artificial Intelligence ·Ramin Zabih, David McAllester, David Chapman	6
18	Pengi: an implementation of a theory of activity breakdown → 1987 ·National Conference on Artificial Intelligence ·Philip E. Agre, David Chapman	560
19	Nonlinear planning: a rigorous reconstruction 1985 ·International Joint Conference on Artificial Intelligence ·David Chapman	13
20	A program testing assistant 1982 ·Communications of the ACM ·David Chapman	20

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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