Nils C. Newman

ORCID: 0000-0003-2717-1267
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About
Contact & Profiles
Research Areas
  • Economic Growth and Productivity
  • Innovation Diffusion and Forecasting
  • Intellectual Property and Patents
  • scientometrics and bibliometrics research
  • Global Trade and Competitiveness
  • Innovation and Knowledge Management
  • Innovation Policy and R&D
  • Economic and Technological Innovation
  • Big Data and Business Intelligence
  • Technology Assessment and Management
  • Machine Learning in Materials Science
  • Regional Development and Policy
  • Pharmaceutical Economics and Policy
  • Data Quality and Management
  • Research Data Management Practices
  • Global trade and economics
  • Open Source Software Innovations
  • Advanced Text Analysis Techniques
  • Complex Systems and Decision Making
  • Economic and Technological Developments in Russia
  • Pharmaceutical industry and healthcare
  • Interdisciplinary Research and Collaboration
  • Innovation, Sustainability, Human-Machine Systems
  • Web Data Mining and Analysis
  • Economic and Business Development Strategies

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2011-2024

United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology
2014-2023

Maastricht University
2017-2023

University of Birmingham
2023

Search (Poland)
2004-2022

Georgia Institute of Technology
1996-2020

Interaction Institute for Social Change
2002-2014

NCI Information Systems (United States)
2014

Utah State University
2012

Atlanta Technical College
2010

This paper presents a new global patent map that represents all technological categories and method to locate data of individual organizations fields on the map. overlay technique may support competitive intelligence policy decision making. The is based similarities in citing‐to‐cited relationships between I nternational P atent C lassification ( IPC ) E uropean O ffice EPO patents from 2000 2006. set, extracted PATSTAT database, includes 760,000 records 466 ‐based categories. We compare...

10.1002/asi.23146 article EN Journal of the Association for Information Science and Technology 2014-05-07

10.1016/j.techfore.2018.04.016 article EN publisher-specific-oa Technological Forecasting and Social Change 2018-04-26

Efforts to involve data science in policy analysis can be traced back decades but transforming analytic findings into decisions is still far from straightforward task. Data-driven decision-making requires understanding approaches, practices, and research results many disciplines, which makes it interesting investigate whether are moving parallel or their pathways have intersected. Our investigation, a bibliometric perspective, driven by comprehensive set of questions, we designed an...

10.1109/tem.2020.2974761 article EN publisher-specific-oa IEEE Transactions on Engineering Management 2020-03-09

How can national capabilities to develop emerging technologies be measured? We use INSPEC and EI Compendex class codes examine 33 countries' research development activity. select candidate based on the Rand Corporation's categories. screen these tally those that show strong recent, increasing, R&D publication rates. The resulting measures convergence; indeed, their lack of divergence is unsettling. Our suggest China now stands forth as an 'emerging technology' power comparable Germany, UK,...

10.3152/147154302781781001 article EN Science and Public Policy 2002-06-01

10.1016/j.technovation.2011.01.001 article EN Technovation 2011-01-22

To assess the success of National Science Foundation's Research Coordination Network (RCN) program, a set publication measures and visualization tools were used to determine how effective program is in enhancing interdisciplinary information sharing. The patterns researchers compared before after receiving RCN awards. These analyses show significant increases basic collaboration measures—authors per paper institutions paper—following support. Various indications suggest increased linkage...

10.1093/reseval/rvs004 article EN Research Evaluation 2012-03-07

Abstract This paper compares three selected indicator series that address national, technology-based competitiveness. The 'traditional' Georgia Tech High Indicators (HTI) have been comparing 33 nations with respect to current and future prospects at exporting high tech products since the late 1980s. Those indicators blend expert opinion statistical time data. Second, we introduce 'statistics only' HTI, a revised formulation addresses knowledge-based service export capabilities as well...

10.1080/09537320802625264 article EN Technology Analysis and Strategic Management 2009-01-14

Counting research and development publication patent activity can help generate competitive technical intelligence. Combining such counts with content analyses oriented toward "innovation success factors" greatly enrich the intelligence value. The authors offer a framework of three types technological innovation indicators—life cycle, contextual influences, value chain/market prospects. They illustrate how these aid case analysis application ceramics to tank automotive engines. demonstrates...

10.1002/(sici)1520-6386(199810/12)9:4<11::aid-cir4>3.0.co;2-v article EN Competitive Intelligence Review 1998-10-01

10.1016/j.techfore.2006.06.004 article EN Technological Forecasting and Social Change 2006-08-03

10.1016/j.techfore.2020.120176 article EN publisher-specific-oa Technological Forecasting and Social Change 2020-07-01

This paper introduces a new measure of patent value – Maintenance Renewal Score (MRSc) reflecting assignee valuing the by paying successive renewal fees. We generate MRSc's for nanotechnology patents issued US Patent Office from 1999 through 2009, with assignees and inventors. Patenting increases over this period, coincident increased funding R&D. compare maintenance rates against comparison set all USPTO grants to inventors/assignees. find differences in propensity maintain nanopatents...

10.1016/j.wpi.2023.102178 article EN cc-by-nc-nd World Patent Information 2023-03-04

Indicators of technological emergence promise valuable intelligence to those determining R&D priorities. We present an implemented algorithm calculate scores for topical terms from abstract record sets. offer a family indicators deriving scores. Primary identify "hot topic" terms, then we use generate secondary that reflect organizations, countries, or authors especially active at research frontiers in target domain. also flag records (papers patents) rich emergent technology content, and...

10.23919/picmet.2017.8125288 article EN 2022 Portland International Conference on Management of Engineering and Technology (PICMET) 2017-07-01

A new bibliometric technique enables one to distinguish high emergence topical content. This can be applied sets of research publication abstracts reflecting a given technical domain (here, nanotechnology) score cutting edge terms. The resulting terms warrant special consideration in setting R&D priorities. researchers (individuals, organizations, or countries) whose publications address those emergent heavily deserve as possible leaders that domain. paper studies nanotechnology using the...

10.1080/09537325.2018.1480013 article EN Technology Analysis and Strategic Management 2018-06-01

Georgia Tech's Technology Policy and Assessment Center, with support from the US National Science Foundation, has been generating High-Tech Indicators (HTI) — measures of national technology-based export competitiveness since 1987. This paper reports HTI results for 33 nations in 1999 comparison those 1990, 1993 1996. includes four 'input indicators' a key 'output indicator' technological standing. We construct new composite input indicator here examine its predictive capability. Input...

10.1080/09537320127282 article EN Technology Analysis and Strategic Management 2001-12-01

This mini-review arrays the pertinent tools and purposes of “Tech Mining” – shorthand for empirical analyses Science, Technology Innovation (ST&amp;amp;I) data. The intent is to introduce range tools, show how they can complement each other. Tech Mining aims generate powerful intelligence help manage R&amp;amp;D innovation processes. We offer a 5-part array relate analytical elements. An overview case study Hybrid Electric Vehicles illustrates complexities involved potential valuable “intel.”

10.3389/frma.2024.1364053 article EN cc-by Frontiers in Research Metrics and Analytics 2024-04-29
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