Neha Kumar

130 papers receiving 3.2k citations

Peers

Neha Kumar
Comparison fields: 5 of 126
  • Human-Computer Interaction 1.3k
  • Business and International Management 179
  • Information Systems 1.2k
  • Applied Psychology 198
  • Management of Technology and Innovation 317
Replace Nicola Lee Dell with:
Nicola Lee Dell United States
Syed Ishtiaque Ahmed Canada
Tawanna R. Dillahunt United States
John Vines United Kingdom
Silvia Lindtner United States
Eric P. S. Baumer United States
Geraldine Fitzpatrick Austria
Christopher A. Le Dantec United States
Nithya Sambasivan United States
Airi Lampinen Sweden
Neha Kumar relative to Nicola Lee Dell United States Nicola Lee Dell's profile →
Citations per field
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Nicola Lee Dell · 1×
Citations per year

Countries citing papers authored by Neha Kumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016186
2 2015129
3 2017125
4 2015107
5 201892
6 201879
7 201874
8 201773
9 202368
10 201967
11 201963
12 201960
13 202258
14 202055
15 201954
16 201450
17 201850
18 201949
19 201848
20 202147

About Neha Kumar

Neha Kumar is a scholar working on Human-Computer Interaction, Information Systems, Management of Technology and Innovation, Demography and Communication, having authored 141 papers that have together received 3.3k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (62 papers), ICT in Developing Communities (58 papers), Child Development and Digital Technology (20 papers), Innovative Approaches in Technology and Social Development (17 papers), Technology Use by Older Adults (15 papers), Social Media and Politics (9 papers), Innovation and Socioeconomic Development (9 papers) and Mobile Health and mHealth Applications (8 papers). The work is most often cited by research in Human-Computer Interaction (1.3k citations), Business and International Management (179 citations), Information Systems (1.2k citations), Applied Psychology (198 citations) and Management of Technology and Innovation (317 citations). Neha Kumar has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Azra Ismail, Naveena Karusala, Nicola Lee Dell, Richard J Anderson, Anupriya Tuli, Karthik Bhat, Marisol Wong-Villacrés, Aditya Vishwanath, Pushpendra Singh and Michaelanne Dye. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, interactions, ACM Transactions on Computer-Human Interaction, Epilepsy & Behavior and The Journal of Trauma: Injury, Infection, and Critical Care.

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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