Institution · Steelcase (United States)
Most cited papers from Steelcase (United States)
What are the most cited papers from Steelcase (United States)?
The most cited paper from Steelcase (United States) is "Current Status of Methods for Defining the Applicability Domain of (Quantitative) Structure-Activity Relationships" (Tatiana I. Netzeva et al., 2005), with 832 citations. Next come "Are there gender differences in predicting retirement decisions?" (199) and "Designing Space to Support Knowledge Work" (173).
Showing 50 of 60 papers. Every paper with more than 12 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Current Status of Methods for Defining the Applicability Domain of (Quantitative) Structure-Activity Relationships Tatiana I. Netzeva et al. · Alternatives to Laboratory Animals | Apr 2005 | 832 |
| 2 | Are there gender differences in predicting retirement decisions? Jean A. Talaga, Terry A. Beehr · Journal of Applied Psychology | Feb 1995 | 199 |
| 3 | Designing Space to Support Knowledge Work John Peponis, Sonit Bafna, Ritu Bajaj et al. · Environment and Behavior | 13 Aug 2007 | 173 |
| 4 | The Missing Link: Lean Leadership David W. Mann · Frontiers of Health Services Management | 2009 | 170 |
| 5 | Improvement of quantitative structure–activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge Project Masamitsu Honma et al. · Mutagenesis | 20 Sep 2018 | 149 |
| 6 | ADME evaluation Gilles Klopman, Liliana R Stefan, Roustem Saiakhov · European Journal of Pharmaceutical Sciences | Dec 2002 | 130 |
| 7 | Critical Evaluation of Human Oral Bioavailability for Pharmaceutical Drugs by Using Various Cheminformatics Approaches Marlene T. Kim, Alexander Sedykh, Suman Chakravarti et al. · Pharmaceutical Research | 2 Dec 2013 | 129 |
| 8 | Worst Practices for Domain-Specific Modeling Steven Kelly, Risto Pohjonen · IEEE Software | 25 Jun 2009 | 116 |
| 9 | Descriptor Free QSAR Modeling Using Deep Learning With Long Short-Term Memory Neural Networks Suman Chakravarti, Sai Radha Mani Alla · Frontiers in Artificial Intelligence | 6 Sep 2019 | 100 |
| 10 | Broadband acoustic silencer with ventilation based on slit-type Helmholtz resonators Huy Nguyen, Qian Wu, Xianchen Xu et al. · Applied Physics Letters | 28 Sep 2020 | 99 |
| 11 | Infinite Time Horizon Maximum Causal Entropy Inverse Reinforcement Learning Zhengyuan Zhou, Michael J. Bloem, Nicholas Bambos · IEEE Transactions on Automatic Control | 20 Nov 2017 | 95 |
| 12 | Seat Comfort: A Review of the Construct in the Office Environment Rani Lueder · Human Factors The Journal of the Human Factors and Ergonomics Society | Dec 1983 | 90 |
| 13 | The Effect of a Stimulating Learning Environment on Pre-Service Teachers’ Motivation and 21st Century Skills Yonit Nissim, Eyal Weissblueth, Lennie Scott–Webber et al. · Journal of Education and Learning | 20 Apr 2016 | 83 |
| 14 | Identification of structure-activity relationships for adverse effects of pharmaceuticals in humans: Part B. Use of (Q)SAR systems for early detection of drug-induced hepatobiliary and urinary tract toxicities Edwin John Matthews, Carling Jade Ursem, Naomi L. Kruhlak et al. · Regulatory Toxicology and Pharmacology | 31 Jan 2009 | 77 |
| 15 | An examination of cutting-edge developments in Bamboo-PLA composite research: A comprehensive review Abir Khan, S.M. Sapuan, J. Yusuf et al. · Renewable and Sustainable Energy Reviews | 5 Oct 2023 | 74 |
| 16 | Optimizing Predictive Performance of CASE Ultra Expert System Models Using the Applicability Domains of Individual Toxicity Alerts Suman Chakravarti, Roustem Saiakhov, Gilles Klopman · Journal of Chemical Information and Modeling | 4 Sep 2012 | 74 |
| 17 | Defining Domain-Specific Modeling Languages to Automate Product Derivation: Collected Experiences Juha‐Pekka Tolvanen, Steven Kelly · Lecture notes in computer science | 2005 | 69 |
| 18 | Mechanism Profiling of Hepatotoxicity Caused by Oxidative Stress Using Antioxidant Response Element Reporter Gene Assay Models and Big Data Marlene T. Kim, Ruili Huang, Alexander Sedykh et al. · Environmental Health Perspectives | 18 Sep 2015 | 67 |
| 19 | A Data Analysis Pipeline Accounting for Artifacts in Tox21 Quantitative High-Throughput Screening Assays Jui‐Hua Hsieh, Alexander Sedykh, Ruili Huang et al. · SLAS DISCOVERY | 22 Apr 2015 | 66 |
| 20 | Association of Health Risks With the Cost of Time Away From Work Douglas W. Wright, Marshall J. Beard, Dee W. Edington · Journal of Occupational and Environmental Medicine | Dec 2002 | 64 |
| 21 | A comprehensive model for reproductive and developmental toxicity hazard identification: II. Construction of QSAR models to predict activities of untested chemicals Edwin John Matthews, Naomi L. Kruhlak, Rachel L Benz et al. · Regulatory Toxicology and Pharmacology | 19 Dec 2006 | 59 |
| 22 | A broadband acoustic panel based on double-layer membrane-type metamaterials Huy Nguyen, Qian Wu, Jiaji Chen et al. · Applied Physics Letters | 3 May 2021 | 56 |
| 23 | Promoting Real-Time Optimization of Hydrocarbon Producing Systems Luigi Alfonso Saputelli, Shinichi Mochizuki, Lynda A. Hutchins et al. | 2 Sep 2003 | 56 |
| 24 | Designing for the Base of the Pyramid Patrick Whitney, Anjali Kelkar · Design Management Review | Oct 2004 | 55 |
| 25 | A Room of Your Own: What Do We Learn about Support of Teamwork from Assessing Teams in Dedicated Project Rooms? Lisa M. Covi, Judith S. Olson, Elena Rocco et al. · Lecture notes in computer science | 1998 | 55 |
| 26 | Effectiveness of CASE Ultra Expert System in Evaluating Adverse Effects of Drugs Roustem Saiakhov, Suman Chakravarti, Gilles Klopman · Molecular Informatics | 2013 | 53 |
| 27 | A Fano-based acoustic metamaterial for ultra-broadband sound barriers Huy Nguyen, Qian Wu, Huan Chen et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences | Apr 2021 | 51 |
| 28 | Development of QSAR models to predict blood-brain barrier permeability Sadegh Faramarzi, Marlene T. Kim, Donna A. Volpe et al. · Frontiers in Pharmacology | 20 Oct 2022 | 48 |
| 29 | Prediction of prospective medical claims and absenteeism costs for 1284 hourly workers from a manufacturing company. Louis Tze Ching Yen, Dee W. Edington, Pamela Witting · PubMed | Apr 1992 | 48 |
| 30 | ESP: A Method To Predict Toxicity and Pharmacological Properties of Chemicals Using Multiple MCASE Databases Gilles Klopman, Suman Chakravarti, Hao Zhu et al. · Journal of Chemical Information and Computer Sciences | 3 Jan 2004 | 45 |
| 31 | Modularization Constructs in Method Engineering: Towards Common Ground? Pär J. Ågerfalk, Sjaak Brinkkemper, César González-Pérez et al. | 29 Dec 2007 | 45 |
| 32 | Structure–activity relationship study of a diverse set of estrogen receptor ligands (I) using MultiCASE expert system Gilles Klopman, Suman Chakravarti · Chemosphere | 4 Mar 2003 | 43 |
| 33 | Daily life, not markets: customer-centered design Vijay Kumar, Patrick Whitney · Journal of Business Strategy | 30 Jun 2007 | 42 |
| 34 | Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analyses Curran Landry, Marlene T. Kim, Naomi L. Kruhlak et al. · Regulatory Toxicology and Pharmacology | 3 Oct 2019 | 37 |
| 35 | Distributed Representation of Chemical Fragments Suman Chakravarti · ACS Omega | 8 Mar 2018 | 37 |
| 36 | Management of pharmaceutical ICH M7 (Q)SAR predictions – The impact of model updates Catrin Hasselgren, Joel P. Bercu, Alex N. Cayley et al. · Regulatory Toxicology and Pharmacology | 12 Oct 2020 | 36 |
| 37 | A room of your own Judith S. Olson, Lisa M. Covi, Elena Rocco et al. | Apr 1998 | 36 |
| 38 | Product/Service-System Development: An Explorative Case Study In A Manufacturing Company Adrian Tan, Tim C. McAloone, Catherine Gall · Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) | 2007 | 35 |
| 39 | MultiCASE Expert Systems and the REACH Initiative Roustem Saiakhov, Gilles Klopman · Toxicology Mechanisms and Methods | 2008 | 35 |
| 40 | Introducing Knowledge-Based Engineering Into an Interconnected Product Development Process Daniel E. Whitney, Qi Dong, Jared Judson et al. | 12 Sep 1999 | 34 |
| 41 | Costs and Consequences of Additional Chest X-Ray in a Tuberculosis Prevention Program in Botswana Taraz Samandari, David Makram Bishai, Michiel Luteijn et al. · American Journal of Respiratory and Critical Care Medicine | 10 Dec 2010 | 32 |
| 42 | What is Needed in a MetaCASE Environment? Steven Kelly, Matti Rossi, Juha‐Pekka Tolvanen · DFKI GmbH, Institut für Wirtschaftsinformatik | 20 Nov 2015 | 27 |
| 43 | Design, synthesis and experimental validation of novel potential chemopreventive agents using random forest and support vector machine binary classifiers Brienne Sprague, Qian Shi, Marlene T. Kim et al. · Journal of Computer-Aided Molecular Design | 19 May 2014 | 26 |
| 44 | Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project A. Furuhama et al. · SAR and QSAR in environmental research | 2 Dec 2023 | 25 |
| 45 | Searching for an Enhanced Predictive Tool for Mutagenicity Gilles Klopman, Hao Zhu, Michael Fuller et al. · SAR and QSAR in environmental research | Aug 2004 | 25 |
| 46 | Post-vehicle-application lithium-ion battery remanufacturing, repurposing and recycling capacity: Modeling and analysis Charles Robert Standridge, Md. Mehedi Hasan · Journal of Industrial Engineering and Management | 12 Jun 2015 | 25 |
| 47 | Domain-Specific Modelling for Cross-Platform Product Families Steven Kelly, Risto Pohjonen · Lecture notes in computer science | 2003 | 25 |
| 48 | Screening of high production volume chemicals for estrogen receptor binding activity (II) by the MultiCASE expert system Gilles Klopman, Suman Chakravarti · Chemosphere | 4 Mar 2003 | 24 |
| 49 | A Broader Mission for R&D William L. Miller · Research-Technology Management | Nov 1995 | 24 |
| 50 | Development of improved QSAR models for predicting the outcome of the in vivo micronucleus genetic toxicity assay Jae Wook Yoo, Naomi L. Kruhlak, Curran Landry et al. · Regulatory Toxicology and Pharmacology | 21 Feb 2020 | 23 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.