Neha Kumar
Impact in
- Human-Computer Interaction top 1%
- Innovative Human-Technology Interaction
- Applied Psychology top 10%
- Digital Mental Health Interventions
Papers in
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- Innovative Human-Technology Interaction 15
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- ICT in Developing Communities 14
- Co-authors
- Naveena Karusala (9 shared papers)Marisol Wong-Villacrés (6 shared papers)Sachin R. Pendse (2 shared papers)Betsy DiSalvo (2 shared papers)Nassim JafariNaimi (1 shared paper)Mehrab Bin Morshed (1 shared paper)Carl DiSalvo (1 shared paper)Nicola Dell (3 shared papers)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (3 papers)interactions (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)PubMed (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Neha Kumar
24 papers receiving 574 citations
Peers
Comparison fields: 5 of 83
- Human-Computer Interaction 250
- Applied Psychology 63
- Management of Technology and Innovation 89
- Computer Science Applications 53
- Information Systems 154
Countries citing papers authored by Neha Kumar
This map shows the geographic impact of Neha Kumar'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 Neha Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Kumar more than expected).
Fields of papers citing papers by Neha Kumar
This network shows the impact of papers produced by Neha Kumar. 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 Neha Kumar. The network helps show where Neha Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Neha Kumar, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 74 | |
| 2 | 2017 | 62 | |
| 3 | 2020 | 62 | |
| 4 | 2018 | 53 | |
| 5 | 2020 | 48 | |
| 6 | 2021 | 47 | |
| 7 | 2021 | 39 | |
| 8 | 2018 | 29 | |
| 9 | 2018 | 26 | |
| 10 | 2018 | 19 | |
| 11 | 2022 | 19 | |
| 12 | 2016 | 16 | |
| 13 | 2017 | 16 | |
| 14 | 2018 | 13 | |
| 15 | 2019 | 11 | |
| 16 | 2019 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2022 | 6 | |
| 19 | 2016 | 5 | |
| 20 | 2021 | 5 |
About Neha Kumar
Neha Kumar is a scholar working on Human-Computer Interaction, Information Systems, Sociology and Political Science, Management of Technology and Innovation and Education, having authored 25 papers that have together received 577 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (15 papers), ICT in Developing Communities (14 papers), Innovative Approaches in Technology and Social Development (5 papers), Child Development and Digital Technology (4 papers), Digital Games and Media (3 papers), Technology Use by Older Adults (2 papers), Digital Mental Health Interventions (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Human-Computer Interaction (250 citations), Applied Psychology (63 citations), Management of Technology and Innovation (89 citations), Computer Science Applications (53 citations) and Information Systems (154 citations). Neha Kumar has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Naveena Karusala, Marisol Wong-Villacrés, Sachin R. Pendse, Betsy DiSalvo, Nassim JafariNaimi, Mehrab Bin Morshed, Carl DiSalvo, Nicola Dell, Aditya Vishwanath and Arkadeep Kumar. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, interactions, IEEE Transactions on Visualization and Computer Graphics, DSpace@MIT (Massachusetts Institute of Technology) and PubMed.
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.