Nitin Verma

426 total citations
16 papers, 213 citations indexed

About

Nitin Verma is a scholar working on Artificial Intelligence, Sociology and Political Science and Health. According to data from OpenAlex, Nitin Verma has authored 16 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Sociology and Political Science and 4 papers in Health. Recurrent topics in Nitin Verma's work include Misinformation and Its Impacts (5 papers), Ethics and Social Impacts of AI (4 papers) and Social Media and Politics (3 papers). Nitin Verma is often cited by papers focused on Misinformation and Its Impacts (5 papers), Ethics and Social Impacts of AI (4 papers) and Social Media and Politics (3 papers). Nitin Verma collaborates with scholars based in United States, India and China. Nitin Verma's co-authors include Kenneth R. Fleischmann, Abigale Stangl, Danna Gurari, Meredith Ringel Morris, Chenyan Jia, Bo Xie, Kolina Koltai, Min Kyung Lee, Lan Li and Pushpak Bhattacharyya and has published in prestigious journals such as Vaccine, Journal of Neurology and Journal of the Association for Information Science and Technology.

In The Last Decade

Nitin Verma

14 papers receiving 203 citations

Peers

Nitin Verma
Gabriel Lima South Korea
Chenyan Jia United States
Kolina Koltai United States
Renée DiResta United States
Jean Song United States
Shayla Sharmin Bangladesh
Zach Wood-Doughty United States
Titipat Achakulvisut Thailand
Andrea Cuttone Denmark
Kwanho Kim South Korea
Gabriel Lima South Korea
Nitin Verma
Citations per year, relative to Nitin Verma Nitin Verma (= 1×) peers Gabriel Lima

Countries citing papers authored by Nitin Verma

Since Specialization
Citations

This map shows the geographic impact of Nitin Verma'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 Nitin Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitin Verma more than expected).

Fields of papers citing papers by Nitin Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nitin Verma. 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 Nitin Verma. The network helps show where Nitin Verma may publish in the future.

Co-authorship network of co-authors of Nitin Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Verma. A scholar is included among the top collaborators of Nitin Verma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nitin Verma. Nitin Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Verma, Nitin. (2024). “One Video Could Start a War”: A Qualitative Interview Study of Public Perceptions of Deepfake Technology. Proceedings of the Association for Information Science and Technology. 61(1). 374–385. 2 indexed citations
2.
3.
Verma, Nitin, Kenneth R. Fleischmann, Le Zhou, et al.. (2022). Trust in COVID‐19 public health information. Journal of the Association for Information Science and Technology. 73(12). 1776–1792. 10 indexed citations
4.
Fleischmann, Kenneth R., et al.. (2022). Misinformation and COVID-19 vaccine hesitancy. Vaccine. 41(1). 136–144. 65 indexed citations
5.
Fleischmann, Kenneth R., et al.. (2022). Locating the work of artificial intelligence ethics. Journal of the Association for Information Science and Technology. 74(3). 311–322. 6 indexed citations
6.
Sharma, Pankhuri, et al.. (2021). Patterns of Psychological Distress and Well-Being among Adults in Relation to Gender during COVID-19 Pandemic. Homœopathic Links. 34(4). 257–262.
7.
Fleischmann, Kenneth R., et al.. (2021). Many hands make many fingers to point: challenges in creating accountable AI. AI & Society. 38(4). 1287–1299. 15 indexed citations
8.
Stangl, Abigale, Nitin Verma, Kenneth R. Fleischmann, Meredith Ringel Morris, & Danna Gurari. (2021). Going Beyond One-Size-Fits-All Image Descriptions to Satisfy the Information Wants of People Who are Blind or Have Low Vision. 1–15. 50 indexed citations
9.
Fleischmann, Kenneth R., et al.. (2020). Good systems, bad data?: Interpretations of AI hype and failures. Proceedings of the Association for Information Science and Technology. 57(1). 21 indexed citations
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11.
Fleischmann, Kenneth R., et al.. (2019). Good Systems. 461–467. 8 indexed citations
12.
Verma, Nitin, Kenneth R. Fleischmann, & Kolina Koltai. (2018). Demographic factors and trust in different news sources. Proceedings of the Association for Information Science and Technology. 55(1). 524–533. 6 indexed citations
13.
Verma, Nitin, Kenneth R. Fleischmann, & Kolina Koltai. (2017). Human values and trust in scientific journals, the mainstream media and fake news. Proceedings of the Association for Information Science and Technology. 54(1). 426–435. 20 indexed citations
14.
Verma, Nitin & Girishwar Misra. (2016). Impact of Daily Spiritual Experiences and Private Religious Practices on Social Well-Being among Different Religious Community. Indian Journal of Positive Psychology. 7(3). 318–324. 1 indexed citations
15.
Verma, Nitin & Pushpak Bhattacharyya. (2005). Automatic Generation of Multilingual Lexicon by Using Wordnet. Journal of Neurology. 269(3). 1236–1249. 1 indexed citations
16.
Verma, Nitin & Pushpak Bhattacharyya. (2003). Automatic Lexicon Generation through WordNet. DSpace (IIT Bombay). 7 indexed citations

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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