Tauhid Zaman

2.3k citations
31 papers · 1.3k indexed · 1 hit paper · h-index 16

Tauhid Zaman

31 papers receiving 1.3k citations

Hit Papers

Rumors in a Network: Who's the Culprit?4112011202620162021100200300400

Peers

Tauhid Zaman
Comparison fields: 5 of 99
  • Statistical and Nonlinear Physics 819
  • Modeling and Simulation 61
  • Communication 76
  • Information Systems 202
  • Sociology and Political Science 386
Replace Luca Dall’Asta with:
Luca Dall’Asta Italy
Flaviano Morone United States
Maziar Nekovee United Kingdom
Jürgen Lerner Germany
Luis E. C. Rocha Belgium
Justin Balthrop United States
Holger Ebel Germany
Ye Wu China
Louis Shekhtman United States
Márton Karsai Hungary
Tauhid Zaman relative to Luca Dall’Asta Italy Luca Dall’Asta's profile →
Citations per field
00.5×1.5×2.2×
Luca Dall’Asta · 1×
Citations per year

Countries citing papers authored by Tauhid Zaman

Since Specialization
Citations

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

Fields of papers citing papers by Tauhid Zaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Tauhid Zaman, 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 Tauhid Zaman Line = papers co-authored together Tauhid Zaman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202413
2 20243
3 20245
4 202310
5 20234
6 202219
7 20193
8
The Impact of Bots on Opinions in Social Networks.
20189
9 201820
10 201720
11 2014113
12
Predicting Information Spreading in Twitter
2010118
13 201071
14 200847
15 200777
16 20062
17 200619
18 20052
19
Faraday rotation in semiconductors for photonic integration
20045
20 200346

About Tauhid Zaman

Tauhid Zaman is a scholar working on Statistical and Nonlinear Physics, Communication, Transportation, Management Science and Operations Research and Atomic and Molecular Physics, and Optics, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (13 papers), Complex Network Analysis Techniques (10 papers), Magneto-Optical Properties and Applications (8 papers), Photonic and Optical Devices (8 papers), Misinformation and Its Impacts (6 papers), Social Media and Politics (4 papers), Spam and Phishing Detection (4 papers) and Photonic Crystals and Applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (819 citations), Modeling and Simulation (61 citations), Communication (76 citations), Information Systems (202 citations) and Sociology and Political Science (386 citations). Tauhid Zaman has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Devavrat Shah, Rajeev J. Ram, Emily B. Fox, Eric T. Bradlow, David Stern, Ralf Herbrich, Jurgen Van Gael, Jytte Klausen, C. A. Ross and Filip Ilievski. Their work appears in journals such as Operations Research, PLoS ONE, ACM SIGMETRICS Performance Evaluation Review, Applied Physics Letters and The Annals of Applied Statistics.

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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