Huma Shah

854 citations
42 papers · 407 indexed · h-index 11

Impact in

Papers in

Huma Shah

36 papers receiving 371 citations

Peers

Huma Shah
Comparison fields: 5 of 84
  • Safety Research 105
  • Health Informatics 16
  • Social Psychology 118
  • Computational Theory and Mathematics 83
  • Artificial Intelligence 156
Replace Thomas M. Arnold with:
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Huma Shah relative to Thomas M. Arnold United States Thomas M. Arnold's profile →
Citations per field
00.5×10×13.8×
Thomas M. Arnold · 1×
Citations per year

Countries citing papers authored by Huma Shah

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Huma Shah Line = papers co-authored together Huma Shah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20230
4 201519
5 201514
6
Guidelines on Regulating Robotics
20149
7 201416
8 20147
9
The impact of culture in enterprise resource planning system implementation
20138
10
Exploring the Impediments of Successful ERP Implementation: A Case Study in a Public Organization
201122
11
Testing Turing's parallel-paired Imitation Game
20101
12
From the Buzzing in Turing’s Head to Machine Intelligence Contests
20108
13 20104
14 201023
15
Turing test: mindless game? - A reflection on the Loebner prize
20071
16
A.L.I.C.E.: an ACE in Digitaland
20064
17 20062
18 20040
19
Semiotic Methods for Enterprise Design and IT Applications
20042
20
Tracker: a framework to support reducing rework through decision management
20037

About Huma Shah

Huma Shah is a scholar working on Safety Research, Computational Theory and Mathematics, Social Psychology, Ecological Modeling and Management 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 Business Process Modeling and Analysis (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, Alan Dix, Andrea Bertolini and Andrew M. Salter. 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.

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