Algebraic Construction of Program Representation Graphs. - Richard Marciano; Teodor Rus (AMAST, 1991)

High-Performance Computing Approaches for Using the WWW to Access a Large-Scale Environmental Dataset Repository. - B. Nassersharif; Richard Marciano; Sui-ky Ling; Eugene Ho; Curt Edmonds (SC, 1995)

Massively Parallel Processing of Spatial Statistics. - Marc P. Armstrong; Richard Marciano (Int. J. Geogr. Inf. Sci., 1995)

Local Interpolation Using a Distributed Parallel Supercomputer. - Marc P. Armstrong; Richard Marciano (Int. J. Geogr. Inf. Sci., 1996)

Metadata to Support Information Based Computing Environments. - Chaitanya K. Baru; Richard Frost; Richard Marciano; Reagan W. Moore; Arcot Rajasekar; Michael Wan (MD, 1997)

Rear-projecting virtual data onto physical terrain: an exercise in two senses being better than one. - Dru Clark; Richard Marciano; Rosemarie McKeon; Michael J. Bailey (IEEE Visualization, 1998)

XML-based Information Mediation for Digital Libraries. - Chaitanya K. Baru; Vincent Chu; Amarnath Gupta; Bertram Ludäscher; Richard Marciano; Yannis Papakonstantinou; Pavel E. Velikhov (ACM DL, 1999)

Integrating GIS and Imagery Through XML-Based Information Mediation. - Amarnath Gupta; Richard Marciano; Ilya Zaslavsky; Chaitanya K. Baru (Integrated Spatial Databases, 1999)

Collection-Based Persistent Archives. - Arcot Rajasekar; Richard Marciano; Reagan W. Moore (IEEE Symposium on Mass Storage Systems, 1999)

Analysis of HPSS Performance Based on Per-file Transfer Logs. - Wayne Schroeder; Richard Marciano; Joe Lopez; Michael Gleicher; George Kremenek; Chaitanya K. Baru; Reagan W. Moore (IEEE Symposium on Mass Storage Systems, 1999)

XML-Based Information Mediation with MIX. - Chaitanya K. Baru; Amarnath Gupta; Bertram Ludäscher; Richard Marciano; Yannis Papakonstantinou; Pavel E. Velikhov; Vincent Chu (SIGMOD Conference, 1999)

Collection-Based Persistent Digital Archives - Part 1. - Reagan W. Moore; Chaitan Baru; Arcot Rajasekar; Bertram Ludäscher; Richard Marciano; Michael Wan; Wayne Schroeder; Amarnath Gupta (D Lib Mag., 2000)

Collection-Based Persistent Digital Archives - Part 2. - Reagan W. Moore; Chaitan Baru; Arcot Rajasekar; Bertram Ludäscher; Richard Marciano; Michael Wan; Wayne Schroeder; Amarnath Gupta (D Lib Mag., 2000)

Towards Self-Validating Knowledge-Based Archives. - Bertram Ludäscher; Richard Marciano; Reagan W. Moore (RIDE-DM, 2001)

Preservation of Digital Data with Self-Validating, Self-Instantiating Knowledge-Based Archives. - Bertram Ludäscher; Richard Marciano; Reagan W. Moore (SIGMOD Rec., 2001)

InterPARES 2: Experiential, interactive, and dynamic records. - Michèle Valerie Cloonan; Anne J. Gilliland-Swetland; Richard Marciano; Kenneth Thibodeau; Ciaran B. Trace (ASIST, 2002)

Multi-level Information Modeling and Preservation of eGOV Data. - Richard Marciano; Bertram Ludäscher; Ilya Zaslavsky; Reagan W. Moore; Keith Pezzoli (EGOV, 2002)

High performance computing with geographical data. - Andrea Clematis; Michael J. Mineter; Richard Marciano (Parallel Comput., 2003)

Building preservation environments. - Reagan W. Moore; Richard Marciano (JCDL, 2005)

Prototype Preservation Environments. - Reagan W. Moore; Richard Marciano (Libr. Trends, 2005)

Regionalizing integrated watershed management: a strategic vision. - Keith Pezzoli; Richard Marciano; John Robertus (DG.O, 2006)

Building a demonstration prototype for the preservation of large-scale multimedia collections. - Arcot Rajasekar; Richard Marciano; Reagan W. Moore; Chien-Yi Hou; Francine Berman; Lynn Burstan; Steve Anderson; Mellisa McEwen; Bee Bornheimer; Harry Kreisler; Brian Schottlaender; Luc DeClerck; et al. (DG.O, 2006)

Identifying best practices and skills for workforce development in data curation. - P. Bryan Heidorn; Helen R. Tobbo; G. Sayeed Choudhury; Christopher Greer; Richard Marciano (ASIST, 2007)

Mainstreaming Preservation through Slicing and Dicing of Digital Repositories: Investigating Alternative Service and Resource Options for ContextMiner Using Data Grid Technology. - Christopher A. Lee 001; Chirag Shah 001; Chien-Yi Hou; Richard Marciano (iPRES, 2009)

From harvesting to cultivating: transformation of a web collecting system into a robust curation environment. - Christopher A. Lee 001; Richard Marciano; Chien-Yi Hou; Chirag Shah 001 (JCDL, 2009)

Towards a Federated Infrastructure for the Preservation and Analysis Archival Data. - Chien-Yi Hou; Richard Marciano (IASSIST, 2010)

Policy-Driven Repository Interoperability: Enabling Integration Patterns for iRODS and Fedora. - David Pcolar; Richard Marciano; Chien-Yi Hou; Alexandra Chassanoff; Daniel W. Davis; Bing Zhu 001 (iPRES, 2010)

iRODS Primer: Integrated Rule-Oriented Data System - Arcot Rajasekar; Reagan W. Moore; Chien-Yi Hou; Christopher A. Lee 001; Richard Marciano; Antoine de Torcy; Michael Wan; Wayne Schroeder; Sheau-Yen Chen; Lucas Gilbert; Paul Tooby; Bing Zhu 001 (iRODS Primer, 2010)

Virtual Cities/Digital Histories. - Robert C. Allen; Natasha Smith; Pamella Lach; Richard Marciano; Chris Speed; Todd Presner; Philip Ethington; David Lawrence Shepard; Chien-Yi Hou; Christopher Johanson (DH, 2011)

Good Evidence is Hard to Find: Policy-based Approaches to Curating and Preserving Digital Humanities Data. - Richard Marciano; Mark Hedges; Alexandra Chassanoff; Andreas Aschenbrenner 001; Adil Hasan; Tobias Blanke (DH, 2011)

A system for scalable visualization of geographic archival records. - Jefferson R. Heard; Richard J. Marciano (LDAV, 2011)

Digital repository: preservation environment and policy implementation. - Bing Zhu 001; Richard Marciano; Reagan W. Moore; Laurin Herr; Jürgen P. Schulze (Int. J. Digit. Libr., 2012)

The human face of crowdsourcing: A citizen-led crowdsourcing case study. - Sheryl Grant; Richard Marciano; Priscilla Ndiaye; Kristan E. Shawgo; Jefferson R. Heard (IEEE BigData, 2013)

Integrating Data Mining and Data Management Technologies for Scholarly Inquiry. - Ray R. Larson; Richard Marciano; Chien-Yi Hou; Shreyas; Paul B. Watry; John Harrison 002; Luis Aguilar; Jérôme Fuselier (IEEE BigData, 2014)

Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE. - Doug James; Nancy Wilkins-Diehr; Victoria Stodden; Dirk Colbry; Carlos Rosales; Mark R. Fahey; Justin Shi; Rafael Ferreira da Silva; Kyo Lee; Ralph Roskies; Laurence Loewe; Susan Lindsey; et al. (CoRR, 2014)

Big Humanities Data Workshop at IEEE Big Data 2013. - Tobias Blanke; Mark Hedges; Richard Marciano (D Lib Mag., 2014)

Mixed-initiative social media analytics at the World Bank: Observations of citizen sentiment in Twitter data to explore "trust" of political actors and state institutions and its relationship to social protest. - Nadya A. Calderón; Brian D. Fisher; Jeff J. Hemsley; Billy Ceskavich; Greg Jansen; Richard Marciano; Victoria L. Lemieux (IEEE BigData, 2015)

Brown Dog: Leveraging everything towards autocuration. - Smruti Padhy; Greg Jansen; Jay Alameda; Edgar F. Black; Liana Diesendruck; Mike Dietze; Praveen Kumar 002; Rob Kooper; Jong Lee; Rui Liu; Richard Marciano; Luigi Marini; et al. (IEEE BigData, 2015)

Autocuration Cyberinfrastructure for Scientific Discovery and Preservation. - Smruti Padhy; Edgar F. Black; Betsy Cowdery; Liana Diesendruck; Michael C. Dietze; Greg Jansen; Rob Kooper; Praveen Kumar 002; Jong Lee; Rui Liu; Richard Marciano; Luigi Marini; et al. (e-Science, 2015)

Designing Scalable Cyberinfrastructure for Metadata Extraction in Billion-Record Archives. - Gregory Jansen; Smruti Padhy; Richard Marciano (iPRES, 2016)

An Architecture for Automatic Deployment of Brown Dog Services at Scale into Diverse Computing Infrastructures. - Smruti Padhy; Jay Alameda; Rob Kooper; Rui Liu; Sandeep Puthanveetil Satheesan; Inna Zharnitsky; Gregory Jansen; Michael C. Dietze; Praveen Kumar 002; Jong Lee; Richard Marciano; Luigi Marini; et al. (XSEDE, 2016)

Heuristics for assessing Computational Archival Science (CAS) research: The case of the human face of big data project. - Myeong Lee; Yuheng Zhang; Shiyun Chen; Edel Spencer; Jhon Dela Cruz; Hyeonggi Hong; Richard Marciano (IEEE BigData, 2017)

Computational curation of a digitized record series of WWII Japanese-American Internment. - William Underwood; Richard Marciano; Sandra Laib; Carl Apgar; Luis Beteta; Waleed Falak; Marisa Gilman; Riss Hardcastle; Keona Holden; Yun Huang; David Baasch; Brittni Ballard; et al. (IEEE BigData, 2017)

A Case Study in Creating Transparency in Using Cultural Big Data: The Legacy of Slavery Project. - Ryan Cox; Sohan Shah; William Frederick; Tammie Nelson; Will Thomas; Greg Jansen; Noah Dibert; Michael Kurtz; Richard Marciano (IEEE BigData, 2018)

Automating the Detection of Personally Identifiable Information (PII) in Japanese-American WWII Incarceration Camp Records. - Richard Marciano; William Underwood; Mohammad Hanaee; Connor Mullane; Aakanksha Singh; Zayden Tethong (IEEE BigData, 2018)

Introducing Computational Thinking into Archival Science Education. - William Underwood; David Weintrop; Michael Kurtz; Richard Marciano (IEEE BigData, 2018)

Digital Curation of a World War II Japanese-American Incarceration Camp Collection: Implications for Sociotechnical Archival Systems. - Richard Marciano; Myeong Lee; William Underwood; Sandra Laib; Zeynep Diker; Aakanksha Singh (DigitalHERITAGE/VSMM, 2018)

Toward Identifying Values and Tensions in Designing a Historically-Sensitive Data Platform: A Case-Study on Urban Renewal. - Myeong Lee; Shiyun Chen; Yuheng Zhang; Edel Spencer; Richard Marciano (iConference, 2018)

Brown Dog: Making the Digital World a Better Place, a Few Files at a Time. - Sandeep Puthanveetil Satheesan; Jay Alameda; Shannon Bradley; Michael C. Dietze; Benjamin Galewsky; Gregory Jansen; Rob Kooper; Praveen Kumar 002; Jong Lee; Richard Marciano; Luigi Marini; Barbara S. Minsker; et al. (PEARC, 2018)

Building Open-Source Digital Curation Services and Repositories at Scale. - Richard Marciano; Gregory Jansen; Will Thomas; Sohan Shah; Michael Kurtz (Int. J. Digit. Curation, 2018)

Using Data Partitions and Stateless Servers to Scale Up Fedora Repositories. - Gregory Jansen; Aaron Coburn; Adam Soroka; Richard Marciano (IEEE BigData, 2019)

Reframing Digital Curation Practices through a Computational Thinking Framework. - Richard Marciano; Danish Mir; Connor Mullane; Emery Patterson; Debashish Pradhan; James Santos; Britton Schams; Hilary Szu Yin Shiue; Andy Jose Silva; Mayhah Suri; Tahura Turabi; Sarah Agarrat; et al. (IEEE BigData, 2019)

Computational Thinking in Archival Science Research and Education. - William Underwood; Richard Marciano (IEEE BigData, 2019)

Petabytes in Practice: Working with Collections as Data at Scale. - Will Thomas; Benjamin Galewsky; Sandeep Puthanveetil Satheesan; Gregory Jansen; Richard Marciano; Shannon Bradley; Jong Lee; Luigi Marini; Kenton McHenry (Data Inf. Manag., 2019)

DRAS-TIC Linked Data: Evenly Distributing the Past. - Gregory Jansen; Aaron Coburn; Adam Soroka; Will Thomas; Richard Marciano (Publ., 2019)

Computational Treatments to Recover Erased Heritage: A Legacy of Slavery Case Study (CT-LoS). - Lori A. Perine; Rajesh Kumar Gnanasekaran; Phillip Nicholas; Alexis Hill; Richard Marciano (IEEE BigData, 2020)

Digital Curation and Machine Learning Experimentation in Archives. - Teddy Randby; Richard Marciano (IEEE BigData, 2020)

A Framework for Unlocking and Linking WWII Japanese American Incarceration Biographical Data. - Lencia Beltran; Emily Ping O'Brien; Greg Jansen; Richard Marciano (IEEE BigData, 2021)

Using Transfer Learning to contextually Optimize Optical Character Recognition (OCR) output and perform new Feature Extraction on a digitized cultural and historical dataset. - Aravind Inbasekaran; Rajesh Kumar Gnanasekaran; Richard Marciano (IEEE BigData, 2021)

An AI-Assisted Framework for Rapid Conversion of Descriptive Photo Metadata into Linked Data. - Jennifer Proctor; Richard Marciano (IEEE BigData, 2021)

Computational Thinking Integration into Archival Educators' Networked Instruction. - Sarah A. Buchanan; Karen F. Gracy; Joshua Kitchens; Richard Marciano (IEEE Big Data, 2022)

Using AI and ML to optimize information discovery in under-utilized, Holocaust-related records. - Kirsten Strigel Carter; Abby Gondek; William Underwood; Teddy Randby; Richard Marciano (AI Soc., 2022)

Introduction to the Special Issue on Computational Archival Science. - Mark Hedges; Richard Marciano; Eirini Goudarouli (ACM Journal on Computing and Cultural Heritage, 2022)

Model Selection for HERITAGE-AI: Evaluating LLMs for Contextual Data Analysis of Maryland's Domestic Traffic Ads (1824-1864). - Rajesh Kumar Gnanasekaran; Lori A. Perine; Mark Conrad; Richard Marciano (IEEE Big Data, 2024)

A Computational Review of the Literature of Computational Archival Science (CAS): Advancing Archival Theory in the Age of the Digital Tsunami and the Vanishing Box Problem. - Jennifer Proctor; Richard Marciano (IEEE Big Data, 2024)

Can Generative AI Uncover Hidden Patterns in Historical Domestic Traffic Ads Through Data Analysis? A ChatLoS-DTA Exploration. - Mariia Vetluzhskikh; Rajesh Kumar Gnanasekaran; Richard Marciano (IEEE Big Data, 2024)

Conversing with the past: re-examining the legacy of slavery in domestic traffic newspaper advertisements with OpenAI's advanced LLM. - Rajesh Kumar Gnanasekaran; Christopher E. Haley; Richard Marciano (Navigating Artificial Intelligence for Cultural Heritage Organisations, 2025)

Teaching computational archival science: context, pedagogy, and future directions. - Victoria L. Lemieux; Richard Marciano (Inf. Res., 2025)

Developing computer vision and machine learning strategies to unlock government-created records. - Greg Jansen; Richard Marciano (AI Soc., 2025)