Huma Shah
Impact in
- Safety Research top 5%
- Ethics and Social Impacts of AI
- Health Informatics top 10%
Papers in
-
- Computability, Logic, AI Algorithms 15
-
- Ethics and Social Impacts of AI 13
- Co-authors
- Kevin Warwick (23 shared papers)Jordi Vallverdú (5 shared papers)Defeng Wu (1 shared paper)James H. Moor (1 shared paper)Abdul Zahid Khan (1 shared paper)Christopher S. Chapman (1 shared paper)Erica Palmerini (1 shared paper)Bert‐Jaap Koops (1 shared paper)
- Journals
- AI & Society (3 papers)Kybernetes (2 papers)Minds and Machines (2 papers)International Orthopaedics (1 paper)Cognitive Computation (1 paper)
- Partner nations
- United KingdomSpainFinland
In The Last Decade
Huma Shah
36 papers receiving 371 citations
Peers
Comparison fields: 5 of 84
- Safety Research 105
- Health Informatics 16
- Social Psychology 118
- Computational Theory and Mathematics 83
- Artificial Intelligence 156
Countries citing papers authored by Huma Shah
This map shows the geographic impact of Huma Shah'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 Huma Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huma Shah more than expected).
Fields of papers citing papers by Huma Shah
This network shows the impact of papers produced by Huma Shah. 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 Huma Shah. The network helps show where Huma Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Huma Shah, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 77 | |
| 2 | 2015 | 52 | |
| 3 | 2014 | 26 | |
| 4 | 2010 | 23 | |
| 5 | Exploring the Impediments of Successful ERP Implementation: A Case Study in a Public Organization | 2011 | 22 |
| 6 | 2015 | 19 | |
| 7 | 2013 | 19 | |
| 8 | 2010 | 17 | |
| 9 | 2014 | 16 | |
| 10 | 2013 | 16 | |
| 11 | 2015 | 14 | |
| 12 | 2016 | 10 | |
| 13 | Guidelines on Regulating Robotics | 2014 | 9 |
| 14 | The impact of culture in enterprise resource planning system implementation | 2013 | 8 |
| 15 | From the Buzzing in Turing’s Head to Machine Intelligence Contests | 2010 | 8 |
| 16 | Tracker: a framework to support reducing rework through decision management | 2003 | 7 |
| 17 | 2014 | 7 | |
| 18 | 2016 | 6 | |
| 19 | 2016 | 5 | |
| 20 | A.L.I.C.E.: an ACE in Digitaland | 2006 | 4 |
About Huma Shah
Huma Shah is a scholar working on Computational Theory and Mathematics, Safety Research, Social Psychology, Artificial Intelligence and Information Systems, having authored 42 papers that have together received 407 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (15 papers), Ethics and Social Impacts of AI (13 papers), Social Robot Interaction and HRI (7 papers), AI in Service Interactions (5 papers), Neuroethics, Human Enhancement, Biomedical Innovations (4 papers), Deception detection and forensic psychology (3 papers), User Authentication and Security Systems (3 papers) and Philosophy and Theoretical Science (2 papers). The work is most often cited by research in Safety Research (105 citations), Health Informatics (16 citations), Social Psychology (118 citations), Computational Theory and Mathematics (83 citations) and Artificial Intelligence (156 citations). Huma Shah has collaborated with scholars based in United Kingdom, Spain and Finland. Frequent co-authors include Kevin Warwick, Jordi Vallverdú, Defeng Wu, James H. Moor, Abdul Zahid Khan, Christopher S. Chapman, Erica Palmerini, Bert‐Jaap Koops, Stephen R. Gulliver and Rodney J. Clarke. Their work appears in journals such as AI & Society, Kybernetes, Minds and Machines, International Orthopaedics and Cognitive Computation.
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.