Sharad Sharma
- Human-Computer Interaction top 2%
- Virtual Reality Applications and Impacts 11
- Ocean Engineering top 2%
- Evacuation and Crowd Dynamics 30
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- Teaching and Learning Programming 6
- Transportation top 5%
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- Augmented Reality Applications 7
- Data Visualization and Analytics 7
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- Educational Games and Gamification 7
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- Human-Automation Interaction and Safety 6
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- Human Motion and Animation 5
- Co-authors
- C. R. Krishna MurtiHarpreet SinghCraig S. LentThomas P. FehlnerZhaohui LiHua QiGregory L. SniderAlexei O. Orlov
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Sharad Sharma
74 papers receiving 980 citations
Peers
Comparison fields: 5 of 141
- Human-Computer Interaction 180
- Ocean Engineering 308
- Computer Science Applications 64
- Transportation 72
- Computational Theory and Mathematics 135
Countries citing papers authored by Sharad Sharma
This map shows the geographic impact of Sharad Sharma'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 Sharad Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharad Sharma more than expected).
Fields of papers citing papers by Sharad Sharma
This network shows the impact of papers produced by Sharad Sharma. 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 Sharad Sharma. The network helps show where Sharad Sharma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sharad Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | Evaluation of Game-Theme Based Instructional Modules for Data Structure Concepts | 2020 | 1 |
| 8 | The Dilemma of Regulating Artificial Intelligence | 2017 | 0 |
| 9 | 2017 | 14 | |
| 10 | 2017 | 1 | |
| 11 | 2016 | 27 | |
| 12 | 2014 | 9 | |
| 13 | Use of Favorite Goal in Agent Based Modeling and Simulation. | 2012 | 3 |
| 14 | 2011 | 9 | |
| 15 | Virtual City: A Gaming Tool for Training and Education. | 2011 | 6 |
| 16 | Favorite Goal in Agent Based Modeling and Simulation. | 2010 | 5 |
| 17 | Online Assessment System with Offline Capabilities | 2010 | 0 |
| 18 | Fuzzy Approach for Predicting Probability of Reaching a Target in a Battlefield Environment. | 2010 | 8 |
| 19 | 2008 | 9 | |
| 20 | Fuzzy Approach for Forecasting Navigation in Simulating Agent Based Behavior. | 2005 | 4 |
About Sharad Sharma
Sharad Sharma is a scholar working on Human-Computer Interaction, Ocean Engineering and Computer Science Applications, having authored 84 papers that have together received 1.0k indexed citations. Recurring topics across this work include Evacuation and Crowd Dynamics (30 papers), Virtual Reality Applications and Impacts (11 papers), Augmented Reality Applications (7 papers), Data Visualization and Analytics (7 papers), Educational Games and Gamification (7 papers), Human-Automation Interaction and Safety (6 papers), Teaching and Learning Programming (6 papers) and Human Motion and Animation (5 papers). The work is most often cited by research in Human-Computer Interaction (180 citations), Ocean Engineering (308 citations) and Computer Science Applications (64 citations). Sharad Sharma has collaborated with scholars based in United States, India and Australia. Frequent co-authors include C. R. Krishna Murti, Harpreet Singh, Craig S. Lent, Thomas P. Fehlner, Zhaohui Li, Hua Qi, Gregory L. Snider, Alexei O. Orlov, Timothy Oladunni and Atul Prakash.
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.