Abid Hussain

610 total citations
32 papers, 298 citations indexed

About

Abid Hussain is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Abid Hussain has authored 32 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistical and Nonlinear Physics, 12 papers in Sociology and Political Science and 8 papers in Artificial Intelligence. Recurrent topics in Abid Hussain's work include Complex Network Analysis Techniques (16 papers), Opinion Dynamics and Social Influence (8 papers) and Digital Marketing and Social Media (7 papers). Abid Hussain is often cited by papers focused on Complex Network Analysis Techniques (16 papers), Opinion Dynamics and Social Influence (8 papers) and Digital Marketing and Social Media (7 papers). Abid Hussain collaborates with scholars based in Denmark, Germany and Finland. Abid Hussain's co-authors include Ravi Vatrapu, Raghava Rao Mukkamala, Muhammad Aqib Shabbir, Zulqurnain Ali, Jukka Huhtamäki, Karan Menon, Peter Reimann, Jari Jussila, Hannu Kärkkäinen and Tor‐Morten Grønli and has published in prestigious journals such as IEEE Access, International Journal of Entrepreneurship and Small Business and CBS Research Portal (Copenhagen Business School).

In The Last Decade

Abid Hussain

30 papers receiving 278 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Abid Hussain Denmark	12	102	80	76	69	43	32	298
Andrea Michienzi Italy	13	118 1.2×	61 0.8×	118 1.6×	58 0.8×	27 0.6×	38	433
Gene Moo Lee United States	10	186 1.8×	102 1.3×	34 0.4×	52 0.8×	13 0.3×	34	437
Samrat Gupta India	8	58 0.6×	57 0.7×	45 0.6×	118 1.7×	17 0.4×	17	351
Bogdan Batrinca United Kingdom	4	159 1.6×	149 1.9×	70 0.9×	40 0.6×	13 0.3×	7	434
Hauke Fuehres Germany	5	103 1.0×	144 1.8×	79 1.0×	24 0.3×	16 0.4×	5	477
Daniel Fleder United States	6	150 1.5×	60 0.8×	42 0.6×	34 0.5×	30 0.7×	9	395
Shu He United States	9	176 1.7×	69 0.9×	15 0.2×	53 0.8×	12 0.3×	24	391
Xiangbin Yan China	8	101 1.0×	50 0.6×	36 0.5×	72 1.0×	4 0.1×	28	296
Xiwei Wang China	11	148 1.5×	67 0.8×	70 0.9×	26 0.4×	5 0.1×	21	303

Countries citing papers authored by Abid Hussain

Since Specialization

Citations

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

Fields of papers citing papers by Abid Hussain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abid Hussain

This figure shows the co-authorship network connecting the top 25 collaborators of Abid Hussain. A scholar is included among the top collaborators of Abid Hussain 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 Abid Hussain. Abid Hussain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mazumdar, Somnath, Abid Hussain, & Raghava Rao Mukkamala. (2024). How to Control User Private Data Access in Mixed Reality Platforms using Blockchain?. Proceedings of the ... Annual Hawaii International Conference on System Sciences.

Arif, Muhammad, et al.. (2023). Social Media Use Among University Students: A Review and Direction for Future Research. 25. 83–108. 1 indexed citations

Hussain, Abid, et al.. (2023). Listen to the noise – Demonstrating an end to end multi-platform and multilingual sentiment analysis approach. Procedia Computer Science. 219. 546–553. 2 indexed citations

Kärkkäinen, Hannu, et al.. (2017). Integrating micro-level interactions with social network analysis in tie strength research. CBS Research Portal (Copenhagen Business School). 203–209. 1 indexed citations

Mukkamala, Raghava Rao, et al.. (2017). Buzz vs. Sales: Big Social Data Analytics of Style Icon Campaigns and Fashion Designer Collaborations on H&Ms Facebook Page. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 2 indexed citations

Menon, Karan, Hannu Kärkkäinen, Jukka Huhtamäki, et al.. (2016). Identifying weak ties from publicly available social media data in an event. CBS Research Portal (Copenhagen Business School). 11–19. 1 indexed citations

Hansen, Kjeld, Raghava Rao Mukkamala, Abid Hussain, et al.. (2016). Big social data analytics for public health: Facebook engagement and performance. CBS Research Portal (Copenhagen Business School). 12 indexed citations

Hansen, Kjeld, Raghava Rao Mukkamala, Abid Hussain, et al.. (2016). Big Social Data in Public Health: A Mixed-methods Case Study of Sundhed.dk's Facebook Strategy, Engagement, and Performance. Procedia Computer Science. 98. 298–307. 4 indexed citations

Mukkamala, Raghava Rao, et al.. (2016). Forecasting Nike's sales using Facebook data. CBS Research Portal (Copenhagen Business School). 2447–2456. 10 indexed citations

10.

Mukkamala, Raghava Rao, et al.. (2016). Social Set Visualizer (SoSeVi) II: Interactive Social Set Analysis of Big Data. CBS Research Portal (Copenhagen Business School). 19–28. 1 indexed citations

11.

Ali, Zulqurnain, et al.. (2016). To Assess the Impact of Social Media Marketing on Consumer Perception. International Journal of Academic Research in Accounting Finance and Management Sciences. 6(3). 21 indexed citations

12.

Vatrapu, Ravi, et al.. (2015). Social set analysis. CBS Research Portal (Copenhagen Business School). 1–9. 11 indexed citations

13.

Mukkamala, Raghava Rao, et al.. (2015). Social Set Analysis of Corporate Social Media Crises on Facebook. CBS Research Portal (Copenhagen Business School). 112–121. 17 indexed citations

14.

Vatrapu, Ravi, et al.. (2015). Social set visualizer: A set theoretical approach to big social data analytics of real-world events. CBS Research Portal (Copenhagen Business School). 2418–2427. 13 indexed citations

15.

Vatrapu, Ravi, Raghava Rao Mukkamala, & Abid Hussain. (2014). A Set Theoretical Approach to Big Social Data Analytics: Concepts, Methods, Tools, and Findings. 22–24. 7 indexed citations

16.

Vatrapu, Ravi, Raghava Rao Mukkamala, & Abid Hussain. (2014). Towards a Set Theoretical Approach to Big Social Data Analytics: Concepts, Methods, Tools, and Empirical Findings. CBS Research Portal (Copenhagen Business School). 5 indexed citations

17.

Hussain, Abid & Ravi Vatrapu. (2014). Social Data Analytics Tool: Design, Development, and Demonstrative Case Studies. CBS Research Portal (Copenhagen Business School). 5. 414–417. 15 indexed citations

18.

Vatrapu, Ravi, et al.. (2013). Towards Teaching Analytics: Repertory Grids for Formative Assessment (RGFA). CBS Research Portal (Copenhagen Business School). 422–426. 2 indexed citations

19.

Vatrapu, Ravi, Peter Reimann, & Abid Hussain. (2012). Towards Teaching Analytics: Repertory Grids for Formative Assessment. CBS Research Portal (Copenhagen Business School). 341–345. 7 indexed citations

20.

Vatrapu, Ravi, et al.. (2012). Towards teaching analytics. CBS Research Portal (Copenhagen Business School). 775–776. 11 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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