James Manyika
Impact in
- Management Information Systems top 0.2%
- Big Data and Business Intelligence
- Information Systems and Management top 0.5%
- Big Data Technologies and Applications
Papers in
-
- Target Tracking and Data Fusion in Sensor Networks 4
- Bayesian Modeling and Causal Inference 2
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- Distributed Sensor Networks and Detection Algorithms 4
- Co-authors
- Michael Chui (10 shared papers)Jacques Bughin (8 shared papers)Richard Dobbs (3 shared papers)Susan Lund (8 shared papers)Hugh Durrant‐Whyte (6 shared papers)Jonathan Woetzel (3 shared papers)K. Francis George (1 shared paper)Ryan K. L. Ko (1 shared paper)
- Journals
- Daedalus (2 papers)Foreign Affairs (1 paper)Interventions (1 paper)The McKinsey Quarterly (2 papers)L Expansion Management Review (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
James Manyika
36 papers receiving 6.8k citations
James Manyika's Hit Papers
Peers
Comparison fields: 5 of 179
- Management Information Systems 1.8k
- Information Systems and Management 730
- Management Science and Operations Research 882
- Information Systems 1.5k
- Industrial and Manufacturing Engineering 625
Countries citing papers authored by James Manyika
This map shows the geographic impact of James Manyika'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 James Manyika with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Manyika more than expected).
Fields of papers citing papers by James Manyika
This network shows the impact of papers produced by James Manyika. 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 James Manyika. The network helps show where James Manyika may publish in the future.
Co-authors
The 20 scholars most cited alongside James Manyika, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Big data: The next frontier for innovation, competition, and productivity Hit paper breakdown → | 2011 | 3861 |
| 2 | Disruptive technologies: Advances that will transform life, business, and the global economy Hit paper breakdown → | 2013 | 906 |
| 3 | A future that works: automation, employment, and productivity Hit paper breakdown → | 2017 | 524 |
| 4 | The internet of things: mapping the value beyond the hype Hit paper breakdown → | 2015 | 523 |
| 5 | Independent work: choice, necessity and the gig economy Hit paper breakdown → | 2016 | 288 |
| 6 | Data Fusion and Sensor Management: A Decentralized Information-Theoretic Approach | 1995 | 265 |
| 7 | Where machines could replace humans - and where they can't (yet) | 2016 | 263 |
| 8 | The age of analytics: competing in a data-driven world | 2016 | 251 |
| 9 | Digital Globalization: The New Era Global Flows | 2016 | 234 |
| 10 | Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages | 2017 | 214 |
| 11 | Four fundamentals of workplace automation | 2015 | 135 |
| 12 | 1997 | 81 | |
| 13 | A labor market that works: connecting talent with opportunity in the digital age | 2015 | 54 |
| 14 | The future of work in America: people and places, today and tomorrow | 2019 | 45 |
| 15 | The future of women at work: transitions in the age of automation | 2019 | 45 |
| 16 | Eight Business Technology Trends to Watch | 2007 | 27 |
| 17 | U.S. Productivity Growth: An Optimistic Perspective | 2013 | 25 |
| 18 | Data Fusion and Sensor Management | 1994 | 23 |
| 19 | 2022 | 19 | |
| 20 | 1992 | 18 |
About James Manyika
James Manyika is a scholar working on Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science, Management Information Systems and Economics and Econometrics, having authored 39 papers that have together received 7.9k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (4 papers), Digital Economy and Work Transformation (4 papers), Distributed Sensor Networks and Detection Algorithms (4 papers), Big Data and Business Intelligence (3 papers), Bayesian Modeling and Causal Inference (2 papers), Labor market dynamics and wage inequality (2 papers), Economic Growth and Productivity (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Management Information Systems (1.8k citations), Information Systems and Management (730 citations), Management Science and Operations Research (882 citations), Information Systems (1.5k citations) and Industrial and Manufacturing Engineering (625 citations). James Manyika has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Michael Chui, Jacques Bughin, Richard Dobbs, Susan Lund, Hugh Durrant‐Whyte, Jonathan Woetzel, K. Francis George, Ryan K. L. Ko, Patrick Butler and Martin Neil Baily. Their work appears in journals such as Daedalus, Foreign Affairs, Interventions, The McKinsey Quarterly and L Expansion Management Review.
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.